ABSTRACT: The upper limit of water content permitted in a natural gas stream during its pipeline transport without a risk of hydrate formation is a complex issue. We propose a novel thermodynamic scheme for investigation of different routes to hydrate formation, with ideal gas used as reference state for all components in all phases including hydrate phase. This makes comparison between different hydrate formation routes transparent and consistent in free energy changes and associated enthalpy change. From a thermodynamic point of view natural gas hydrate can form directly from water dissolved in natural gas but quite unlikely due to limitations in mass and. The typical industrial way to evaluate risk of hydrate formation involves calculation of water condensation from gas and subsequent evaluation of hydrate from condensed water and hydrate formers in the natural gas. Transport pipes are rusty even before they are mounted together to transport pipelines. This opens up for even other routes to hydrate formation which starts with water adsorbing to rust and then leads to hydrate formation with surrounding gas. Rust consist on several iron oxide forms but Hematite is one of the most stable form and is used as a model in this study, in which we focus on maximum limits of water content in various natural gas mixtures that can be tolerated in order to avoid water dropping out as liquid or adsorbed and subsequently forming hydrate. Calculations for representative gas mixtures forming structure I and II hydrates are discussed for ranges of conditions typical for North Sea. The typical trend is that the estimated tolerance for water content is in the order of 20 times higher if these numbers are based on water dew-point rather than water dropping out as adsorbed on Hematite. For pure methane the maximum limits of water to be tolerated decrease with increasing pressures from 50 to 250 bars at temperatures above zero Celsius and up to six Celsius. Pure ethane and pure propane show the opposite trend due to the high density non-polar phase at the high pressures. Typical natural gas mixtures is, however, dominated by the methane so for systems of 80 per cent methane or more the trend is similar to that of pure methane with some expected shifts in absolute values of water drop-out mole-fractions.
This document provides an overview of equations of state and the compressibility factor. It discusses the ideal gas law and deviations from it, using the compressibility factor Z to quantify these deviations. Various equations of state are presented, including the van der Waals and virial equations. Cubic equations of state are discussed in depth, along with their history and widespread use in the petroleum industry. The challenges of modeling fluid properties in the critical region and at high pressures are also addressed.
This document provides an overview of equations of state (EoS) models for characterizing reservoir fluids. It discusses several commonly used cubic EoS models including the van der Waals, Redlich-Kwong, Soave-Redlich-Kwong (SRK), and Peng-Robinson (PR) equations. It also covers the application of EoS models to mixtures and the characterization of C7+ hydrocarbon components in petroleum fluids. The document is intended as training material for understanding advanced EoS and modeling complex reservoir fluids.
Groundwater methane in relation to oil and gas development and shallow coal s...Marcellus Drilling News
A research paper published in the Proceedings of the National Academy of Sciences. The paper evaluated the level of methane in groundwater in Colorado going back 25 years. It finds the rate of groundwater methane did not change after the introduction of horizontal drilling combined with high-volume hydraulic fracturing in 2010. That is, fracking does not increase methane migration.
This document outlines the topics covered in a Reservoir Engineering 1 course, including crude oil and water properties, laboratory experiments, and rock properties. The key laboratory experiments discussed are: compositional analysis to characterize reservoir fluids; constant-composition expansion tests to determine fluid properties over a range of pressures; differential liberation tests to analyze gas dissolved in oil; and separator tests to model fluid behavior during production and separation. Special core analysis tests measure critical rock properties such as porosity, permeability, and wettability that influence fluid flow. Accurate characterization of fluids and rocks through laboratory experiments is essential for reservoir evaluation and performance predictions.
Mass transfer coefficient evaluation for lab scale fermenter using sodium sul...Alexander Decker
This document discusses using the sodium sulfite oxidation method and response surface methodology to evaluate the volumetric mass transfer coefficient in a lab-scale fermenter. 13 experiments were conducted using a central composite design to determine the effects of impeller speed and airflow rate on the mass transfer coefficient. An empirical expression was developed and found to explain over 92% of the variability in the responses. The mass transfer coefficient was found to increase with decreasing impeller speed and increasing airflow rate. The study aimed to optimize the mass transfer coefficient using statistical experimental design.
This document provides an overview of reservoir engineering 1 course material covering reservoir fluids and gas properties. It discusses:
1. Classification of oil and gas reservoirs based on pressure-temperature diagrams and fluid compositions. Reservoir fluids can exist as gas, liquid, solid, or combinations and behave differently based on reservoir conditions.
2. Key gas properties like compressibility factor, density, viscosity that are important for reservoir calculations. Real gases deviate from ideal gas behavior more at high pressures.
3. Methods for determining gas properties including compressibility factor charts and equations of state that account for non-ideal behaviors and non-hydrocarbon gas components.
The document discusses soil permeability and seepage. It defines soil permeability as the ease with which water flows through permeable materials like soil. Darcy's law states that the rate of water flow through a soil is proportional to the hydraulic gradient and the soil's hydraulic conductivity. The hydraulic conductivity depends on factors like soil type, density, temperature, and viscosity of water. Laboratory tests like constant head and falling head permeability tests are used to measure a soil's hydraulic conductivity.
This document provides an overview of equations of state and the compressibility factor. It discusses the ideal gas law and deviations from it, using the compressibility factor Z to quantify these deviations. Various equations of state are presented, including the van der Waals and virial equations. Cubic equations of state are discussed in depth, along with their history and widespread use in the petroleum industry. The challenges of modeling fluid properties in the critical region and at high pressures are also addressed.
This document provides an overview of equations of state (EoS) models for characterizing reservoir fluids. It discusses several commonly used cubic EoS models including the van der Waals, Redlich-Kwong, Soave-Redlich-Kwong (SRK), and Peng-Robinson (PR) equations. It also covers the application of EoS models to mixtures and the characterization of C7+ hydrocarbon components in petroleum fluids. The document is intended as training material for understanding advanced EoS and modeling complex reservoir fluids.
Groundwater methane in relation to oil and gas development and shallow coal s...Marcellus Drilling News
A research paper published in the Proceedings of the National Academy of Sciences. The paper evaluated the level of methane in groundwater in Colorado going back 25 years. It finds the rate of groundwater methane did not change after the introduction of horizontal drilling combined with high-volume hydraulic fracturing in 2010. That is, fracking does not increase methane migration.
This document outlines the topics covered in a Reservoir Engineering 1 course, including crude oil and water properties, laboratory experiments, and rock properties. The key laboratory experiments discussed are: compositional analysis to characterize reservoir fluids; constant-composition expansion tests to determine fluid properties over a range of pressures; differential liberation tests to analyze gas dissolved in oil; and separator tests to model fluid behavior during production and separation. Special core analysis tests measure critical rock properties such as porosity, permeability, and wettability that influence fluid flow. Accurate characterization of fluids and rocks through laboratory experiments is essential for reservoir evaluation and performance predictions.
Mass transfer coefficient evaluation for lab scale fermenter using sodium sul...Alexander Decker
This document discusses using the sodium sulfite oxidation method and response surface methodology to evaluate the volumetric mass transfer coefficient in a lab-scale fermenter. 13 experiments were conducted using a central composite design to determine the effects of impeller speed and airflow rate on the mass transfer coefficient. An empirical expression was developed and found to explain over 92% of the variability in the responses. The mass transfer coefficient was found to increase with decreasing impeller speed and increasing airflow rate. The study aimed to optimize the mass transfer coefficient using statistical experimental design.
This document provides an overview of reservoir engineering 1 course material covering reservoir fluids and gas properties. It discusses:
1. Classification of oil and gas reservoirs based on pressure-temperature diagrams and fluid compositions. Reservoir fluids can exist as gas, liquid, solid, or combinations and behave differently based on reservoir conditions.
2. Key gas properties like compressibility factor, density, viscosity that are important for reservoir calculations. Real gases deviate from ideal gas behavior more at high pressures.
3. Methods for determining gas properties including compressibility factor charts and equations of state that account for non-ideal behaviors and non-hydrocarbon gas components.
The document discusses soil permeability and seepage. It defines soil permeability as the ease with which water flows through permeable materials like soil. Darcy's law states that the rate of water flow through a soil is proportional to the hydraulic gradient and the soil's hydraulic conductivity. The hydraulic conductivity depends on factors like soil type, density, temperature, and viscosity of water. Laboratory tests like constant head and falling head permeability tests are used to measure a soil's hydraulic conductivity.
Electro kinetic fractal dimension for characterizing shajara reservoirsKhalid Al-Khidir
This document discusses using electro kinetic parameters to characterize reservoirs in the Shajara Formation in Saudi Arabia. The author calculates fractal dimensions from relationships between streaming potential, electro osmosis coupling coefficients, and water saturation. Samples were collected from three reservoir units in the formation. Fractal dimensions were determined from plots of streaming potential ratios vs. water saturation and capillary pressure vs. water saturation. Higher fractal dimensions correlated with increased permeability and were found in upper reservoir units compared to lower units. The fractal dimension analysis helps divide the reservoirs into three units and assess their heterogeneity and quality.
This document provides an overview of reservoir fluid properties and flash calculations. It covers topics such as cubic equations of state used to model real gases, non-cubic equations of state, equations of state for mixtures, and modeling hydrocarbons. The document then focuses on flash calculations, which are used to determine the composition and amounts of hydrocarbon liquid and gas that coexist at reservoir conditions. It discusses PT flash processes, equilibrium ratios, calculating mixture saturation points, and using equations of state to model phase behavior.
This document summarizes key topics in reservoir engineering related to gas well performance and driving mechanisms. It covers turbulent gas flow models including the laminar-inertial-turbulent approach and pseudopressure method. It also discusses calculating inflow performance relationships, predicting future IPRs, modeling horizontal gas wells, and the primary recovery mechanisms of depletion drive, gas cap drive, water drive, and combination drive.
This document provides an overview of key concepts for performing phase equilibrium calculations on reservoir fluids, including:
1) Cubic equations of state and properties required for components in mixtures like critical temperature, pressure, and acentric factor.
2) Calculating these properties for hydrocarbon components and lumping heavier fractions into pseudocomponents.
3) Using equations of state to relate fugacity coefficients to vapor-liquid equilibrium and calculate K-factors for flash calculations.
This document summarizes various methods for analyzing coning behavior and predicting breakthrough time in horizontal wells producing from reservoirs with bottom water or gas caps. It discusses correlations from Chaperson, Efros, Karcher and Ozkan-Raghavan for determining critical production rates and the factors they account for, as well as Ozkan-Raghavan's method for calculating breakthrough time using dimensionless parameters and a sweep efficiency correlation. The document is from a reservoir engineering course covering these analytical methods for modeling coning problems in horizontal wells.
This chapter discusses different types of flows through soils, including water, heat, electricity, and chemicals. It focuses on describing these flows, quantifying flow rates and how they change over time, and how the flows impact soil properties. Water flow is most extensively studied due to its importance for problems involving seepage, consolidation, and stability. Darcy's law describes water flow and relates flow rate to hydraulic conductivity, a soil-specific property that can vary significantly between soil types and even within a given soil deposit. The chapter reviews the physics of different flow types and coupled flows, and how flow rates relate to driving forces based on various flow laws. It also evaluates parameters that influence flow and their typical ranges of values.
The document provides an overview of a course on reservoir fluid properties. It discusses different types of hydrocarbon reservoirs and how they are classified. It describes the phase behavior of hydrocarbon mixtures using pressure-temperature diagrams. Key points on these diagrams are defined, including the bubble point curve, dew point curve, and critical point. Based on the position of the initial reservoir pressure and temperature on the diagram, reservoirs can be classified as oil or gas reservoirs. Oil reservoirs are further divided into undersaturated, saturated, and gas-cap categories. Common types of crude oils like ordinary black oil, low-shrinkage oil, and volatile oil are also described. Gas reservoirs include retrograde gas-condensate, near-critical gas-condens
This document covers reservoir engineering concepts related to properties of gas, oil, and water in reservoirs. It discusses key properties like gas compressibility, oil viscosity and density. It explains how to calculate properties of dead oil, saturated oil and undersaturated oil using various correlations. Laboratory analysis and experiments for determining fluid properties are also summarized, including different types of tests. The document provides methods to estimate properties like oil and water viscosity, gas solubility in water, and water compressibility.
The document provides an overview of a course on reservoir fluid properties. It covers the following topics:
1. An introduction to petroleum engineering and the importance of understanding reservoir fluids.
2. The formation and extraction of petroleum, including drilling and production.
3. The constituents of reservoir fluids including hydrocarbon components like methane, paraffins, naphthenes and aromatics. It also discusses non-hydrocarbon components like water, nitrogen and carbon dioxide.
4. The phase behavior of pure components and mixtures, including phase envelopes and using pressure-temperature and pressure-volume diagrams to illustrate behavior.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document provides an overview of reservoir fluid properties and phase behavior. It discusses that reservoir fluids are mixtures of hydrocarbons and other components like water and gases. It explains the molecular structures of hydrocarbon components and defines terms like C1, C7+. The document covers phase behavior of single-component and multi-component systems using pressure-volume and pressure-temperature diagrams. It illustrates concepts of vapor pressure curves, critical points, and phase envelopes which define the different states that reservoir fluids can exist in based on temperature and pressure conditions.
This document provides an overview of key concepts in reservoir engineering related to waterflooding, including:
1) Fractional flow curves and how injection parameters like viscosity, formation dip, and rate affect the water cut. Higher oil viscosity or water viscosity results in a higher/lower water cut respectively. Uphill injection improves displacement efficiency.
2) The frontal advance equation describes how water saturation progresses through a reservoir based on the slope of the fractional flow curve and injection rate.
3) Equations show the relationships between reservoir water cut, surface water cut, and water-oil ratios both at reservoir and surface conditions.
Q913 rfp w3 lec 12, Separators and Phase envelope calculationsAFATous
This document outlines course material on reservoir fluid properties, separators, and phase envelope calculations. It covers topics such as PT flash processes, mixture saturation points, phase envelope determination using Michelsen's technique, and separator calculations to optimize pressure and determine stock tank oil properties. Examples of phase envelopes are shown for oil and gas condensate mixtures, illustrating properties like critical points. The document provides information to understand fluid behavior relevant to production operations.
This document provides an overview of reservoir fluid properties, including crude oil, water, and gas properties. It discusses key properties such as formation volume factors, viscosity, surface tension, and gas solubility. It summarizes various empirical correlations used to estimate these properties based on temperature, pressure, oil composition and other factors. The document is from a course on reservoir fluid properties and focuses on definitions and methods for calculating important PVT properties.
This document covers reservoir engineering concepts related to petroleum reservoirs. It discusses the classification of oil and gas reservoirs based on phase behavior and pressure-temperature relationships. It also summarizes key reservoir fluid properties for both gas and crude oil, including compressibility factors, density, molecular weight, and formation volume factors. The behaviors of real gases are contrasted with ideal gases and methods for determining compressibility factors are presented.
The document provides an overview of a course on reservoir fluid properties. It discusses different types of hydrocarbon reservoirs including oil reservoirs which can be undersaturated, saturated, or gas-capped. Gas reservoirs include retrograde gas-condensate reservoirs where pressure reduction causes condensation, wet gas reservoirs which produce liquid at surface, and dry gas reservoirs which only produce gas. Pressure-temperature diagrams are used to classify reservoirs and illustrate phase behavior of reservoir fluids.
1. The document discusses various mathematical models for estimating water influx into oil and gas reservoirs, including the Pot aquifer model, Schilthuis' steady-state model, and Hurst's modified steady-state model. It describes the assumptions and equations of each model.
2. Determining water influx is challenging due to uncertainties about aquifer properties which are rarely known with accuracy. Models require historical reservoir data to evaluate constants representing aquifer parameters.
3. Common water influx models include Pot aquifer, Schilthuis' steady-state, Hurst's modified steady-state, van Everdingen-Hurst unsteady-state, and others. The document provides details on implementing some of these models
This document provides an overview of reservoir engineering concepts including primary recovery mechanisms. It discusses six main driving mechanisms that provide natural energy for oil recovery: rock and liquid expansion drive, depletion drive, gas cap drive, water drive, gravity drainage drive, and combination drive. Each mechanism is characterized by how reservoir pressure declines, water production levels, gas-oil ratios, and estimated ultimate recovery percentages. Gas cap drive reservoirs in particular are described as having slower pressure decline, negligible water production, and higher recovery percentages than depletion drive reservoirs. Key parameters that influence recovery from gas cap drive reservoirs are also outlined.
This document provides an overview of methods for calculating key gas properties including:
1. The z-factor, which can be calculated using correlations like Hall-Yarborough or Dranchuk-Abu-Kassem that were developed based on the Standing-Katz chart.
2. Isothermal gas compressibility (Cg), which can be determined from the z-factor or using models that relate it to reduced gas density.
3. Gas formation volume factor (Bg) and gas expansion factor (Eg), which relate the volume of gas at reservoir conditions to standard conditions.
4. Gas viscosity, which can be estimated using correlations like Carr-Kobayashi-Burrows that are functions of
The document summarizes research on the Los Humeros Geothermal System in Mexico. It discusses acid-rock interactions observed in some wells, extremely high boron concentrations found in the fluids, and variations in fluid chemistry over time. It presents the current conceptual model of the reservoir and examines some unresolved issues, including the sources of acidity, boron concentrations, and the nature and location of the heat source powering the system. The researchers estimate that only a small fraction of the stored heat could power a large electricity plant for decades, suggesting potential for future development as an enhanced geothermal system.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The document summarizes an experimental study of gas hydrate formation and deposition in oil and condensate systems using a visual rocking cell. Key findings include:
- Hydrate deposition was observed in all systems tested, with higher deposition on surfaces exposed to condensate or gas compared to oil-wetted surfaces.
- Porous hydrate deposits formed under conditions with a large temperature gradient and high subcooling, which then suffered sloughing due to fluid shear.
- Hydrate formation in a system with mineral oil, 30% water cut, and an anti-agglomerant resulted in a transportable hydrate slurry.
Electro kinetic fractal dimension for characterizing shajara reservoirsKhalid Al-Khidir
This document discusses using electro kinetic parameters to characterize reservoirs in the Shajara Formation in Saudi Arabia. The author calculates fractal dimensions from relationships between streaming potential, electro osmosis coupling coefficients, and water saturation. Samples were collected from three reservoir units in the formation. Fractal dimensions were determined from plots of streaming potential ratios vs. water saturation and capillary pressure vs. water saturation. Higher fractal dimensions correlated with increased permeability and were found in upper reservoir units compared to lower units. The fractal dimension analysis helps divide the reservoirs into three units and assess their heterogeneity and quality.
This document provides an overview of reservoir fluid properties and flash calculations. It covers topics such as cubic equations of state used to model real gases, non-cubic equations of state, equations of state for mixtures, and modeling hydrocarbons. The document then focuses on flash calculations, which are used to determine the composition and amounts of hydrocarbon liquid and gas that coexist at reservoir conditions. It discusses PT flash processes, equilibrium ratios, calculating mixture saturation points, and using equations of state to model phase behavior.
This document summarizes key topics in reservoir engineering related to gas well performance and driving mechanisms. It covers turbulent gas flow models including the laminar-inertial-turbulent approach and pseudopressure method. It also discusses calculating inflow performance relationships, predicting future IPRs, modeling horizontal gas wells, and the primary recovery mechanisms of depletion drive, gas cap drive, water drive, and combination drive.
This document provides an overview of key concepts for performing phase equilibrium calculations on reservoir fluids, including:
1) Cubic equations of state and properties required for components in mixtures like critical temperature, pressure, and acentric factor.
2) Calculating these properties for hydrocarbon components and lumping heavier fractions into pseudocomponents.
3) Using equations of state to relate fugacity coefficients to vapor-liquid equilibrium and calculate K-factors for flash calculations.
This document summarizes various methods for analyzing coning behavior and predicting breakthrough time in horizontal wells producing from reservoirs with bottom water or gas caps. It discusses correlations from Chaperson, Efros, Karcher and Ozkan-Raghavan for determining critical production rates and the factors they account for, as well as Ozkan-Raghavan's method for calculating breakthrough time using dimensionless parameters and a sweep efficiency correlation. The document is from a reservoir engineering course covering these analytical methods for modeling coning problems in horizontal wells.
This chapter discusses different types of flows through soils, including water, heat, electricity, and chemicals. It focuses on describing these flows, quantifying flow rates and how they change over time, and how the flows impact soil properties. Water flow is most extensively studied due to its importance for problems involving seepage, consolidation, and stability. Darcy's law describes water flow and relates flow rate to hydraulic conductivity, a soil-specific property that can vary significantly between soil types and even within a given soil deposit. The chapter reviews the physics of different flow types and coupled flows, and how flow rates relate to driving forces based on various flow laws. It also evaluates parameters that influence flow and their typical ranges of values.
The document provides an overview of a course on reservoir fluid properties. It discusses different types of hydrocarbon reservoirs and how they are classified. It describes the phase behavior of hydrocarbon mixtures using pressure-temperature diagrams. Key points on these diagrams are defined, including the bubble point curve, dew point curve, and critical point. Based on the position of the initial reservoir pressure and temperature on the diagram, reservoirs can be classified as oil or gas reservoirs. Oil reservoirs are further divided into undersaturated, saturated, and gas-cap categories. Common types of crude oils like ordinary black oil, low-shrinkage oil, and volatile oil are also described. Gas reservoirs include retrograde gas-condensate, near-critical gas-condens
This document covers reservoir engineering concepts related to properties of gas, oil, and water in reservoirs. It discusses key properties like gas compressibility, oil viscosity and density. It explains how to calculate properties of dead oil, saturated oil and undersaturated oil using various correlations. Laboratory analysis and experiments for determining fluid properties are also summarized, including different types of tests. The document provides methods to estimate properties like oil and water viscosity, gas solubility in water, and water compressibility.
The document provides an overview of a course on reservoir fluid properties. It covers the following topics:
1. An introduction to petroleum engineering and the importance of understanding reservoir fluids.
2. The formation and extraction of petroleum, including drilling and production.
3. The constituents of reservoir fluids including hydrocarbon components like methane, paraffins, naphthenes and aromatics. It also discusses non-hydrocarbon components like water, nitrogen and carbon dioxide.
4. The phase behavior of pure components and mixtures, including phase envelopes and using pressure-temperature and pressure-volume diagrams to illustrate behavior.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document provides an overview of reservoir fluid properties and phase behavior. It discusses that reservoir fluids are mixtures of hydrocarbons and other components like water and gases. It explains the molecular structures of hydrocarbon components and defines terms like C1, C7+. The document covers phase behavior of single-component and multi-component systems using pressure-volume and pressure-temperature diagrams. It illustrates concepts of vapor pressure curves, critical points, and phase envelopes which define the different states that reservoir fluids can exist in based on temperature and pressure conditions.
This document provides an overview of key concepts in reservoir engineering related to waterflooding, including:
1) Fractional flow curves and how injection parameters like viscosity, formation dip, and rate affect the water cut. Higher oil viscosity or water viscosity results in a higher/lower water cut respectively. Uphill injection improves displacement efficiency.
2) The frontal advance equation describes how water saturation progresses through a reservoir based on the slope of the fractional flow curve and injection rate.
3) Equations show the relationships between reservoir water cut, surface water cut, and water-oil ratios both at reservoir and surface conditions.
Q913 rfp w3 lec 12, Separators and Phase envelope calculationsAFATous
This document outlines course material on reservoir fluid properties, separators, and phase envelope calculations. It covers topics such as PT flash processes, mixture saturation points, phase envelope determination using Michelsen's technique, and separator calculations to optimize pressure and determine stock tank oil properties. Examples of phase envelopes are shown for oil and gas condensate mixtures, illustrating properties like critical points. The document provides information to understand fluid behavior relevant to production operations.
This document provides an overview of reservoir fluid properties, including crude oil, water, and gas properties. It discusses key properties such as formation volume factors, viscosity, surface tension, and gas solubility. It summarizes various empirical correlations used to estimate these properties based on temperature, pressure, oil composition and other factors. The document is from a course on reservoir fluid properties and focuses on definitions and methods for calculating important PVT properties.
This document covers reservoir engineering concepts related to petroleum reservoirs. It discusses the classification of oil and gas reservoirs based on phase behavior and pressure-temperature relationships. It also summarizes key reservoir fluid properties for both gas and crude oil, including compressibility factors, density, molecular weight, and formation volume factors. The behaviors of real gases are contrasted with ideal gases and methods for determining compressibility factors are presented.
The document provides an overview of a course on reservoir fluid properties. It discusses different types of hydrocarbon reservoirs including oil reservoirs which can be undersaturated, saturated, or gas-capped. Gas reservoirs include retrograde gas-condensate reservoirs where pressure reduction causes condensation, wet gas reservoirs which produce liquid at surface, and dry gas reservoirs which only produce gas. Pressure-temperature diagrams are used to classify reservoirs and illustrate phase behavior of reservoir fluids.
1. The document discusses various mathematical models for estimating water influx into oil and gas reservoirs, including the Pot aquifer model, Schilthuis' steady-state model, and Hurst's modified steady-state model. It describes the assumptions and equations of each model.
2. Determining water influx is challenging due to uncertainties about aquifer properties which are rarely known with accuracy. Models require historical reservoir data to evaluate constants representing aquifer parameters.
3. Common water influx models include Pot aquifer, Schilthuis' steady-state, Hurst's modified steady-state, van Everdingen-Hurst unsteady-state, and others. The document provides details on implementing some of these models
This document provides an overview of reservoir engineering concepts including primary recovery mechanisms. It discusses six main driving mechanisms that provide natural energy for oil recovery: rock and liquid expansion drive, depletion drive, gas cap drive, water drive, gravity drainage drive, and combination drive. Each mechanism is characterized by how reservoir pressure declines, water production levels, gas-oil ratios, and estimated ultimate recovery percentages. Gas cap drive reservoirs in particular are described as having slower pressure decline, negligible water production, and higher recovery percentages than depletion drive reservoirs. Key parameters that influence recovery from gas cap drive reservoirs are also outlined.
This document provides an overview of methods for calculating key gas properties including:
1. The z-factor, which can be calculated using correlations like Hall-Yarborough or Dranchuk-Abu-Kassem that were developed based on the Standing-Katz chart.
2. Isothermal gas compressibility (Cg), which can be determined from the z-factor or using models that relate it to reduced gas density.
3. Gas formation volume factor (Bg) and gas expansion factor (Eg), which relate the volume of gas at reservoir conditions to standard conditions.
4. Gas viscosity, which can be estimated using correlations like Carr-Kobayashi-Burrows that are functions of
The document summarizes research on the Los Humeros Geothermal System in Mexico. It discusses acid-rock interactions observed in some wells, extremely high boron concentrations found in the fluids, and variations in fluid chemistry over time. It presents the current conceptual model of the reservoir and examines some unresolved issues, including the sources of acidity, boron concentrations, and the nature and location of the heat source powering the system. The researchers estimate that only a small fraction of the stored heat could power a large electricity plant for decades, suggesting potential for future development as an enhanced geothermal system.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The document summarizes an experimental study of gas hydrate formation and deposition in oil and condensate systems using a visual rocking cell. Key findings include:
- Hydrate deposition was observed in all systems tested, with higher deposition on surfaces exposed to condensate or gas compared to oil-wetted surfaces.
- Porous hydrate deposits formed under conditions with a large temperature gradient and high subcooling, which then suffered sloughing due to fluid shear.
- Hydrate formation in a system with mineral oil, 30% water cut, and an anti-agglomerant resulted in a transportable hydrate slurry.
Penga Ž, Tolj I, Barbir F, Computational fluid dynamics study of PEM fuel cel...Željko Penga
This computational fluid dynamics study examines PEM fuel cell performance under isothermal and non-uniform temperature boundary conditions. The study finds that implementing a non-uniform temperature profile along the cathode channel, as calculated from a Mollier h-u chart, results in close to 100% relative humidity without external humidification and improves fuel cell performance. The model polarization curve and relative humidity distribution agree well with experimental results. Different current collector materials and membrane thickness influence temperature and relative humidity distributions through their effects on thermal conductivity and water transport.
Penga Ž, Tolj I, Barbir F, Computational fluid dynamics study of PEM fuel cel...Željko Penga
This document describes a computational fluid dynamics (CFD) study of a segmented proton exchange membrane fuel cell (PEMFC) under different temperature boundary conditions. The study found that using a non-uniform temperature profile along the cathode channel, calculated from experimental data, resulted in close to 100% relative humidity and improved fuel cell performance without external humidification. The CFD model predictions of polarization curve and relative humidity distribution agreed well with experimental results. Material properties like thermal conductivity were found to influence temperature and humidity distributions. Membrane thickness also affected net water transport and distributions. Implementing more accurate non-uniform temperature boundary conditions is important for modeling higher current densities with partially humidified reactants.
This study investigates the influence of water vapor addition to the methane stream of nonpremixed counterflow flames. Experiments show flames can contain over 1 mole of water per mole of methane before extinction. Computations using detailed chemical kinetics show water reduces flame temperatures and radical concentrations, leading to extinction. Water has little effect on peak temperature location but moves it toward the air nozzle. The results indicate both chemical and thermal effects of water influence extinction.
Oxidacion de etano a etileno y acido acetico con catalizadores MoVCarlos Timaná
This document discusses kinetics and mechanisms of partial oxidation of ethane to ethylene and acetic acid over molybdenum-vanadium (MoV) type catalysts. It provides background on previous studies that have suggested multi-phase catalysts are needed and that there are two catalytic sites, one for ethane oxidation and another for ethylene oxidation to acetic acid. The document then presents results of a new kinetics study investigating the effects of adding water to the feed on product formation. A reaction mechanism is proposed incorporating water participation through surface OH groups. A kinetic model is developed based on this new mechanism that satisfactorily predicts experimental results.
Abstract: Passive liquid water recovery from fuel cell effluent can be achieved by designing effective desiccant. Recovered water from desiccant is used for humidification of proton exchange membrane (PEM) to maintain at hydrated state. Proper membrane humidity is crucial to ensure optimal operation of a PEM to generate electricity. In this study a desiccant called water separator is designed, it works without consuming any external energy. The main aim of designing a component is to recover liquid water from hundred percent humidified air (vapour) which is coming out from cathode compartment of fuel stack and it is further used for humidifying the oxidant before entering the stack inlet. The self-sufficient water in vapour is investigated theoretically and experimentally. When the water separator temperature reached the critical point especially in large power applications or long time operation, recovered water was not sufficient for air humidification. On the contrary, it is sufficient while the temperature of water separator was below critical line. The temperature of separator is controlled by providing adequate heat transfer. The recovered amount of water by condensing the outlet gas or vapour to a proper temperature, easily satisfy required amount for humidification of oxidant at inlet of stack.
Abstract: Passive liquid water recovery from fuel cell effluent can be achieved by designing effective desiccant. Recovered water from desiccant is used for humidification of proton exchange membrane (PEM) to maintain at hydrated state. Proper membrane humidity is crucial to ensure optimal operation of a PEM to generate electricity. In this study a desiccant called water separator is designed, it works without consuming any external energy. The main aim of designing a component is to recover liquid water from hundred percent humidified air (vapour) which is coming out from cathode compartment of fuel stack and it is further used for humidifying the oxidant before entering the stack inlet. The self-sufficient water in vapour is investigated theoretically and experimentally. When the water separator temperature reached the critical point especially in large power applications or long time operation, recovered water was not sufficient for air humidification. On the contrary, it is sufficient while the temperature of water separator was below critical line. The temperature of separator is controlled by providing adequate heat transfer. The recovered amount of water by condensing the outlet gas or vapour to a proper temperature, easily satisfy required amount for humidification of oxidant at inlet of stack.
Keywords:cell stack, Proton exchange membrane, Humidification, Vapour, Liquid water recovery.
Gas hydrates are crystalline compounds formed when water molecules combine with low molecular weight gases like methane under high pressure and low temperature conditions. They are found naturally in ocean sediments and beneath permafrost. Gas hydrate deposits represent a potentially huge energy resource, containing twice as much carbon as all other fossil fuels combined. However, decomposition of hydrates could also release the potent greenhouse gas methane. Extensive research is being conducted to better understand gas hydrate formation and properties in order to evaluate their potential as an energy source and address flow assurance issues in pipelines transporting natural gas.
Transfer velocities for a suite of trace gases of emerging biogeochemical im...Martin Johnson
Authors M. T. Johnson, P. S. Liss, T.G. Bell and C.Hughes and J. Woeltjen
Paper given at the 6th International Symposium on Gas Transfer at Water Surfaces, Kyoto, Japan, May 2010.
Abstracts of publications in ppc whilst affiliated with sask powerEmmanuel Quagraine
1) The document summarizes 5 journal publications by Emmanuel K. Quagraine related to power plant chemistry while affiliated with SaskPower.
2) The publications provide evidence that chlorinated compounds can ingress into power plant condensers in gaseous form through weak seals or porous brass tubesheets, causing chloride contamination issues. Regression models were able to confirm this hypothesis.
3) One publication evaluates using a biologically active carbon filter in series with a granular activated carbon filter for removing organics in boiler makeup water, finding over 80% removal with the two filters working synergistically.
This document discusses gas transfer, which is the physical phenomenon of gas molecules being exchanged between a liquid and gas at their interface. This leads to gas being absorbed into or released from the liquid phase. Important examples of natural gas transfer include the reaeration of surface water through the transfer of oxygen, release of gases produced by algae, and release of contaminants. Several factors control the exchange of dissolved compounds between water and air, including mixing, surface area, temperature, and concentrations in each phase. The document outlines various elements of aeration and gas transfer operations like diffused aerators, mechanical aerators, and factors that influence gas solubility such as temperature, gas concentration, and impurities. It also discusses concepts like Henry
This 3 sentence summary provides the key details from the document:
The document describes an analytic model for pressurization and cryogenic propellant conditions in liquid rocket tanks. The model divides tanks into 5 nodes and solves conservation equations of mass and energy across the nodes. It can model various mass transfer mechanisms and has been validated against test data. The model provides tank conditions like pressure and temperatures over mission durations for design and analysis of cryogenic rocket stages.
On Absorption Practice, Methods and Theory: An Empirical Example JosephLehmann4
- The document summarizes an experiment on absorption processes using a countercurrent gas-liquid absorption tower.
- Key findings include developing relationships between liquid flow rate, vapor flow rate, and pressure drop. Generalized correlations were constructed from these relationships.
- Absorption of CO2 from air into water was also studied. Data showed decreasing CO2 removal over time as the water became saturated.
Techno-Economic Study of Generating/Compressing Hydrogen Electrochemically, A...Keith D. Patch
The impending hydrogen economy will utilize hydrogen from a number of sources; most notably reformers and water electrolyzers. In the later case, the primary energy source can be conventional (fossil fuels, hydroelectric, nuclear) or renewable (solar, wind, biomass).
However, regardless of the source of the primary energy or the method of hydrogen production, there is a common requirement that the hydrogen be sufficiently compressed to achieve adequate energy density storage and to allow the rapid transfer of gas from central to local or mobile storage systems. In the case of water electrolyzers, the hydrogen can be directly produced at elevated pressures. Independent of the source of the hydrogen, pressurization can also be accomplished subsequent to its production by the use of mechanical or electrochemical compressors.
While current electrolyzer developments have targeted hydrogen production at pressures of 340 bar and higher, careful attention must be paid to trade-offs between the electrolyzer system capital costs, operating costs, and system reliability. The technical and economic impact of varying scenarios has a profound effect on the overall economics of the hydrogen production and, ultimately, on the economics of the hydrogen economy.
A.B. LaConti, T. Norman, K.D. Patch. W. Schmitt, & L.J. Gestaut Giner, Inc.
A. Rodrigues, General Motors, Fuel Cell Activities (GM)
Proceedings of the International Hydrogen Energy Forum (Volume 2) 2004, Beijing, China
This document discusses molecular dynamics simulations of brine-CO2 interfacial tensions, brine-CO2-quartz contact angles, and their effects on carbon sequestration mechanisms. The simulations model CO2/water/NaCl systems interacting with an alpha-quartz surface at varying pressures, temperatures, and brine salinities. The results reproduce experimental brine-CO2 interfacial tension dependencies and predict that contact angles strongly increase with pressure but decrease with temperature, with only weak dependence on salinity. These findings provide new insights into structural and residual trapping capacities for carbon sequestration.
Gas hydrates are cage-like structures of water molecules surrounding molecules of gas, primarily methane. They form under conditions of low temperature and high pressure. It is estimated that up to 270 million trillion cubic feet of natural gas could exist trapped in gas hydrate deposits globally. There are several methods for producing natural gas from hydrates, including depressurization, thermal stimulation, and chemical inhibition. Significant challenges remain regarding the economic and environmentally-safe production of gas from hydrate deposits.
This document discusses various processes for separating and enriching the tritium isotope. It begins by introducing tritium isotope separation and some key concepts. It then describes several processes that have been used to enrich tritium for analytical purposes, including water electrolysis, water distillation, thermal diffusion, and permeation through membranes. The document also discusses processes that have been used to recover and enrich tritium from nuclear power plants, such as water distillation, thermal diffusion, adsorption, and chromatography. It emphasizes that effective tritium separation and control is important for both the nuclear power and potential fusion power industries.
Classification either on quality or type based for groundwater can offer great advantages especially in regional groundwater management. It provides a short, quick processing, interpretation for a lot of complete hydro-chemical data sets and concise presentation of the results. There is a demonstrable need for a quality assurance, with the advanced usage of world's largest fresh water storage i.e Ground water. Its getting depleted over the years and the quality of the same degrading with a rapid pace. Ground water Quality is assessed mainly by the chemical analysis of samples. The data obtained from the chemical analysis is key for the further classification, analysis, correlation etc. Graphical and Numerical interpretation of the data is the main source for Hydro-chemical studies. In this paper we test the performance of the many available graphical and statistical methodologies used to classify water samples including: Collins bar diagram, Stiff pattern diagram, Schoeller plot, Piper diagram, Durov's Double Triangular Diagram, Gibbs's Diagram, Stuyfzand Classification. This paper explains various models which classify, correlate etc., summarizing the water quality data. The basic graphs and diagrams in each category are explained by sample diagrams. In addition to the diagrams an overall characterization of hydro-chemical facies of the water can be carried out by using plots which represents a water type and hardness domain. The combination of graphical and statistical techniques provides a consistent and objective means to classify large numbers of samples while retaining the ease of classic graphical presentation.
Similar to Hydrate Formation During Transport of Natural Gas Containing Water And Impurities (20)
Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...IJERDJOURNAL
Abstract:- Predictive data mining is an upcoming and fast-growing field and offers a competitive edge for the benefit of organization. In recent decades, researchers have developed new techniques and intelligent algorithms for predictive data mining. In this research paper, we have proposed a novel training algorithm for optimizing neural networks for prediction purpose and to utilize it for the development of prediction models. Models developed in MATLAB Neural Network Toolbox have been tested for insurance datasets taken from a live data warehouse. A comparative study of the proposed algorithm with other popular first and second order algorithms has been presented to judge the predictive accuracy of the suggested technique. Various graphs have been presented to analyse the convergence behaviour of different algorithms towards point of minimum error.
The development of the Islamic Heritage in Southeast Asia tradition and futur...IJERDJOURNAL
ABSTRACT: This research explores the historical development of Islamic architecture in Southeast Asia from the first idea to design a mosque by the Prophet Mohammad until the development at these days with the various purism passages And as developed up these days with the passages of the development of the traditional type to the postmodern, finally to modern Southeast Asia. The Islamic architecture has been developed in six traditional typologies of types of mosques is renowned throughout the world. Southeast Asia mosques are divided into various types according to the regional culture as Arabic type, Turkish type, the Iranian type, the Indian type, the Chinese type and South East Asian type. This research describes the main characteristics of these types. The main purpose of this research is to draw a correlation between the descriptions of the mosques in Malaysia as presented in the traditional typology that contains in its features in main types, relations in common throughout the Islamic world, however, distinguishes itself with the architectural form according to the local tradition.
An Iot Based Smart Manifold Attendance SystemIJERDJOURNAL
ABSTRACT:- Attendance has been an age old procedure employed in different disciplines of educational institutions. While attendance systems have witnessed growth right from manual techniques to biometrics, plight of taking attendance is undeniable. In fingerprint based attendance monitoring, if fingers get roughed / scratched, it leads to misreading. Also for face recognition, students will have to make a queue and each one will have to wait until their face gets recognised. Our proposed system is employing “manifold attendance” that means employing passive attendance, where at a time, the attendance of multiple people can get captured. We have eliminated the need of queue system / paper-pen system of attendance, and just with a single click the attendance is not only captured, but monitored as well, that too without any human intervention. In the proposed system, creation of database and face detection is done by using the concepts of bounding box, whereas for face recognition we employ histogram equalization and matching technique.
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSNIJERDJOURNAL
ABSTRACT: In multi-hop ad hoc networks there exists a problem of identifying and isolating misbehaving nodes which refuses to forward packets. Audit-based Misbehavior Detection (AMD) is a comprehensive system that effectively and efficiently isolates both continuous and selective packet droppers. The AMD system integrates reputation management, trustworthy route discovery, and identification of misbehaving nodes based on behavioral audits. Compared to previous methods, AMD evaluates node behavior on a per-packet basis, without employing energy-expensive overhearing techniques or intensive acknowledgment schemes. Moreover, AMD can detect selective dropping attacks even if end-to-end traffic is encrypted and can be applied to multichannel networks or networks consisting of nodes with directional antennas. This work implements the AMD approach by considering the rushing attack. The analysis of the results confirms that AMD based method with rushing attack performs better as compared to the non rushing attack.
Human Resource Competencies: An Empirical AssessmentIJERDJOURNAL
ABSTRACT: Human beings are the essential part of the process. Today, technology and machines are taking over the human resource, as claimed by many people; but technology and machines can never replace human resource entirely. Humans are required for operating and maintaining these machines. Human resource is extremely important for developing or bringing about new and required changes to these machines and technologies. The study of the history and the current Human Resource Management trends points out some important facts
Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...IJERDJOURNAL
ABSTRACT: The World Bank sponsored Millennium Development Goals (MDGs), launched in 1990 envisaged a world free of poverty by the year 2015. The North-East (where Gombe State is centrally located) is experiencing significantly higher poverty and lack of progress in poverty reduction efforts. With coming to end of 2015, much still need to be done to attain the MDGs. With over 62.6% Nigerian population still very poor, there is need for a continuous search for alternative planning & development options that would help ameliorate poverty and sustained our dream for a world free of poverty and wants. This study examines the prospects and investigates the constraints of Non-Governmental Organizations (NGOs) in poverty alleviation and community development. Literature review, questionnaire and interview methods were used for the study. The findings revealed that: finance, continuity of projects/programmes, conflicts and insecurity were the major problems confronting the NGOs. An interesting revelation is that majority of the respondents indicated that they wait for the NGOs or Government to initiate poverty alleviation programmes/projects. The implication is that the community dwellers need attitudinal change necessary for self reliance. The prospect of NGOs in poverty alleviation and community development in the study area is very bright due to rapid population growth & increasing poverty levels with the attendant positive effects on urban planning and regional development. The study recommends that NGOs should (1) form an association to enable them work together, and utilize social capital in their operation/services. (2) seek to explore avenues for funding from donor agencies. Finally, the Government needs to address some of its short comings.
Development of Regression Model Using Lasso And Optimisation of Process Param...IJERDJOURNAL
ABSTRACT:- Metal Spinning is a concept of describing the forming of metal into seamless, axisymmetric shapes by a combination of rotational motion and force. Sheet metal spinning is one of the metal forming processes, which a flat metal blank is rotated at a high speed and formed into an axisymmetric part by a roller which gradually forces the blank on to a mandrel, bearing the final shape of the spun part. Over the last few decades, sheet metal spinning has developed significantly and spun products have been used in various industries. Nowadays the process has been expanded to new horizons in industries, since tendency to use minimum tool and equipment costs and also using lower forces with the output of excellent surface quality and good mechanical properties. The automation of the process is of greater importance, due to its wider applications like decorative household‟s goods, rocket nose cones, gas cylinders etc. The objective of the current work is to develop the mathematical model for the spinning process with surface roughness as response and the input parameters as Mandrel speed (rpm), geometry of the Roller and Thickness of sheet (mm). Type of mandrel (EN8 Material) considered in the spinning process has the geometrical profile of parabola and single roller and double roller tools (EN8 Material) are used to deform the Al2024-T3 sheet metal paper aims to understand the process parameters that affect the surface finish of the spun component. Full factorial Design of Experiments technique is used to find the minimum number of experimental trials that are required to develop the regression model. A regression model using Least Absolute Shrinkage and Selection Operator (Lasso) is developed to further deepen the understanding between the input parameters and the surface roughness. The model was optimised using Sequential Quadratic Programming.
Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...IJERDJOURNAL
ABSTRACT: In the developing countries like India, need of infrastructure is very high as compared to the available resources. The various organizations put their demands to state and center government for sanction of their project, government depends upon its various department to provide an approximate cost so that priorities can be assigned. The conventional procedure depends upon the land surveying, collection of data from various departments resulting in delay in necessary decision making or some time shelving due to unreasonable cost estimate due to field data being very old. Survey of India, The National Survey and Mapping Organization single handily taking this responsibility thus up gradation of data is far behind the actual development. From the satellite data, which is available in the form of images and terrains (even in 3d LiDAR points for some areas) is very useful for Feasibility Study, and Preliminary Project Report. In the present study natural drain named „Chai Nala‟ meanders through the prime property of Greater Mohali Area Development Authority (GMADA) thus making a big chunk of commercial land inoperative. It was proposed to straighten and channelize to reclaim the land from drain regime. Being the precious land department wanted the most economical and technically sound design without taking any risk. It was decided to counter check the hydraulic data, ground profile, acquired from the Punjab Irrigation Department with the satellite data and Differential Global Positioning System (DGPS). The data from the Google Earth was acquired using Cad Earth software and water shed analysis was carried out using Autodesk Civil 3D software. Comparison of results shows that this technique is quite useful and can be for preliminary feasibility and project preparation. Thus saving huge money and time.
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)IJERDJOURNAL
ABSTRACT: Magnesium oxide (MgO) nanoparticles have been synthesized by Microwave assisted Sol gel synthesis method by using the precursors citric acid (C2O4H2) and magnesium chloride (Mgcl2.6H2O). It is a simple, novel and cost effective method. The structure, morphology and crystalline phase of the magnesium oxide nanocrystals have been investigated by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD).Presence of functional groups and optical characters are analyzed by using FTIR and UV- visible techniques
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...IJERDJOURNAL
ABSTRACT: Three-phase induction motors produce mechanical power by electromagnetic induction and run on a 3-phase ac supply. They require efficient speed control, to enable them do variable speed operations, save power consumption and reduce machine noise. In this dissertation, a new switching device called MosControlled Thyristor (MCT) for frequency drive is introduced. Based on the new switching device and AT89C52 microcontroller, an enhanced frequency drive for controlling the speed and torque of 3-phase 15kW squirrel cage induction motor is modeled. Different voltages ranging from 342V to 415V and frequencies ranging from 50Hz to 60Hz are used in a systematic manner to simulate the system based on the new switching device. The simulation program is written in C language and tested with Proteus 7.6 simulation software. Voltage and frequency have significant impact on the actual speed and torque of the motor. Simulation results show that with the new model, the torque (56.66Nm) developed by the motor which is constant throughout each speed range is directly proportional to the ratio (6.7:1) of the applied voltage and the frequency of the supply and the selected speeds (1450, 1510, 1570, 1630, 1690 and 1750 rpm) are locked irrespective of change in load. This is unlike other models where magnetic saturation and conduction drop of IGBT lead to voltage/frequency imbalance resulting in excessive drawing of current by the motor and overheating. This new control method has a speed regulation of ±2 to 3% of maximum frequency, speed response of 3Hz, speed control range of 1: 40 and efficiency of 88%, as further advantages. Comparison of the system with other speed control techniques shows improved energy-saving, cost effectiveness and safety in operation. The contributions of this research aim to make Volts per Hertz speed control method based on MCT a reliable better alternative to other well known methods in speed control of three-phase induction motors
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...IJERDJOURNAL
ABSTRACT: Short-term load forecasting is a key issue for reliable and economic operation of power systems. This paper aims to develop short-term electric load forecasting ARIMA Model for Karnataka Electrical Load pattern based on Stochastic Time Series Analysis. The logical and organised procedures for model development using Autocorrelation Function and Partial Autocorrelation Function make ARIMA Model particularly attractive. The methodology involves Initial Model Development Phase, Parameter Estimation Phase and Forecasting Phase. To confirm the effectiveness, the proposed model is developed and tested using the historical data of Karnataka Electrical Load pattern (2016). The forecasting error of ARIMA Model is computed and results have shown favourable forecasting accuracy.
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...IJERDJOURNAL
ABSTRACT: When a new product is launched, a manufacturer applies the strategy of offering a quantity incentive initially for some time to boost up the demand of the product. The present paper describes a manufacturing inventory model with price sensitive demand enhanced by a quantity incentive. Later on demand becomes time increasing also. Inventory cycle starts with low production rate which is followed by higher production rate when demand is boosted up. Shortages are not allowed in this model. Presentation of numerical examples, tables, graphs and sensitivity analysis describes the model very well. Lastly case without incentive illustrates that usually the quantity incentive offered initially is beneficial.
Analysis of failure behavior of shear connection in push-out specimen by thre...IJERDJOURNAL
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Discrete Time Batch Arrival Queue with Multiple VacationsIJERDJOURNAL
ABSTRACT:- In this paper we consider a discrete time batch arrival queueing system with multiple vacations. It is assume that the service of customers arrived in the system between a fixed intervals of time after which the service goes on vacations after completion of one service of cycle is taken up at the boundaries of the fixed duration of time. This is the case of late arrival. In case of early arrival i.e. arrival before the start of next cycles of service. If the customer finds the system empty, it is served immediately. We prove the Stochastic decomposition property for queue length and waiting time distribution for both the models.
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...IJERDJOURNAL
ABSTRACT:- In arid regions, extreme rainfall event frequency predictions are still a challenging problem, because of the rain gauge stations scarcity and the record length limitation, which are usually short to insure reliable quantile estimates. Regional frequency analysis is one of the popular approaches used to compensate the data limitation. In this paper, regional frequency analysis of maximum daily rainfall is investigated for Madinah province in the Western Kingdom of Saudi Arabia (KSA). The observed maximum daily rainfall records of 20 rainfall stations are selected from 1968 to 2015. The rainfall data is evaluated using four tests, namely, Discordance test (Di), Homogeneity test (H), Goodness of fit test (Zdist) and L-moment ratios diagram (LMRD). The Di of L-moments shows that all the sites belong to one group (Di <3.0).><1). Finally, the Zdist is used to evaluate five probability distribution functions (PDFs) including generalized logistic (GLO), generalized extreme value (GEV), generalized normal (GNO), generalized Pareto (GPA), and Pearson Type III (PE3). Zdist and LMRD both showed that PE3 distribution is the best among the other PDFs. The regional parameters of the candidate PDF are computed using L-moments approach and accordingly the regional dimensionless growth curve is developed. The results enhance the accuracy of extreme rainfall prediction at-sites and also they can be used for ungauged catchment in the region.
Implementing Oracle Utility-Meter Data Management For Power ConsumptionIJERDJOURNAL
ABSTRACT: In this digital mobile world, it‟s need of time to streamline and increase efficiency in business processes like effective data collection, measurement, automatic validation, editing and estimation of measurement data, analysis and dashboard for forecasting and ease in end user accessibility with Just in Time. This paper is following two methodology in this process. CEMLI is an extensive framework for developing and implementing for Oracle whereas OUM is business process and use case driven process which supports products, tool, technologies and documentation. This paper have focused on analytical data, system automation functionality along with prototype designing. For this, analysts and administrators will collect and define calculation rule for data collection and measurement, deployment methods, dashboards and security features. This paper gives measure understanding of cloud technologies and their features like services (SaaS), deployment methods, security and ability to reduce overhead cost, downtime, and automate business processes with 360 degree review and analysis. It consolidates data in one system with volumes of analog and interval data which facilitates new customer with offering and effective program. Also it maximizes return on investments and protects revenue through comprehensive exception management.
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...IJERDJOURNAL
ABSTRACT: Business Intelligence is a socio-technical concept emerged to help managers especially in their decision making tasks. A manager with different decision making styles has been started to make use of business intelligence in their own ways. Are the all managers taking benefits of Business intelligence in the same way? Does Business intelligence give each category what they want in the decision making process? If the answer to these questions is – No, then what is the expectation of managers from BI having different decision making style? Will BI could satisfy their needs? If yes, then how? By using well-formed theory in different styles of decision making and taking BI capabilities into consideration this paper highlights the framework which defines appropriate BI capabilities with each decision making style. Study shows in order to serve each style of decision in which BI capabilities changes with respect to style. It is believed that by making BI customized based on decision making styles; BI would be the much more successful in serving all the categories of managers
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...IJERDJOURNAL
This document discusses the effect of water and ethyl alcohol mixed solvent systems on the stability of metal complexes formed between beta-hydroxy ketone and benzotriazole ligands. The study examines ternary complexes of copper, nickel, zinc, and cobalt ions with different beta-hydroxy ketone and benzotriazole derivatives. The stabilities of the complexes were determined using pH metric titration and found to vary with the solvent composition. Intramolecular interactions between the ligands were found to contribute significantly to complex stability. Copper formed the most stable complexes while cobalt formed the least stable.
Design of Synthesizable Asynchronous FIFO And Implementation on FPGAIJERDJOURNAL
ABSTRACT: This paper presents a design of asynchronous FIFO which, along with the regular status signals, consists of some extra status signals for more user-friendly design and added safety. Gray code pointers are used in the design. For synchronisation purpose, two synchroniser modules are used which contain two D-flip-flops each. The design is implemented and synthesised at register transfer level (RTL) using Verilog HDL. Simulation and implementation is done using Xilinx ISE Design Suite. Further, the design is implemented on Basys 2 Spartan-3E FPGA Board. Asynchronous FIFO is used to carry out steady data transmission at high speeds between two asynchronous clock domains.
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...IJERDJOURNAL
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Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
Hydrate Formation During Transport of Natural Gas Containing Water And Impurities
1. International Journal of Engineering Research and Development
e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com
Volume 13, Issue 5 (May 2017), PP.01-16
1
Hydrate Formation During Transport of Natural Gas Containing
Water And Impurities
Bjørn Kvamme
, Marthe Austrheim, Anette Knarvik, Mojdeh Zarifi
University Of Bergen, Department Of Physics And Technology, 5007 Bergen, Norway
ABSTRACT: The upper limit of water content permitted in a natural gas stream during its pipeline transport
without a risk of hydrate formation is a complex issue. We propose a novel thermodynamic scheme for
investigation of different routes to hydrate formation, with ideal gas used as reference state for all components
in all phases including hydrate phase. This makes comparison between different hydrate formation routes
transparent and consistent in free energy changes and associated enthalpy change. From a thermodynamic point
of view natural gas hydrate can form directly from water dissolved in natural gas but quite unlikely due to
limitations in mass and. The typical industrial way to evaluate risk of hydrate formation involves calculation of
water condensation from gas and subsequent evaluation of hydrate from condensed water and hydrate formers in
the natural gas. Transport pipes are rusty even before they are mounted together to transport pipelines. This
opens up for even other routes to hydrate formation which starts with water adsorbing to rust and then leads to
hydrate formation with surrounding gas. Rust consist on several iron oxide forms but Hematite is one of the
most stable form and is used as a model in this study, in which we focus on maximum limits of water content in
various natural gas mixtures that can be tolerated in order to avoid water dropping out as liquid or adsorbed and
subsequently forming hydrate. Calculations for representative gas mixtures forming structure I and II hydrates
are discussed for ranges of conditions typical for North Sea. The typical trend is that the estimated tolerance for
water content is in the order of 20 times higher if these numbers are based on water dew-point rather than water
dropping out as adsorbed on Hematite. For pure methane the maximum limits of water to be tolerated decrease
with increasing pressures from 50 to 250 bars at temperatures above zero Celsius and up to six Celsius. Pure
ethane and pure propane show the opposite trend due to the high density non-polar phase at the high pressures.
Typical natural gas mixtures is, however, dominated by the methane so for systems of 80 per cent methane or
more the trend is similar to that of pure methane with some expected shifts in absolute values of water drop-out
mole-fractions.
Keywords:gas hydrates, natural gas transport, rust, alternative formation routes
NOMENCLATURE
C Number of components in the Gibbs phase rule
EP Potential energy [kJ/mol]
F Number of degrees of freedom in the Gibbs phase rule
𝐹 Free energy [kJ/mol]
𝑓 Free energy density [kJ/(mol m3
)]
fi Fugacity [Pa]
g(r) Radial distribution function (RDF)
Gibbs free energy [kJ/mol]
Gibbs free energy of inclusion of component in cavity type [kJ/mol]
Enthalpy [kJ/mol]
Cavity partition function of component in cavity type
k Cavity type index
K Ratio of gas mole-fraction versus liquid mole-fraction for the same component (gas/liquid K-values)
Ni Number of molecules
N Number of phases in the Gibbs phase rule
Pressure [Pa]
Reference pressure [Pa]
r Distance [m]
Corresponding author: Phone: +47 934 51 956 E-mail: bjørn.kvamme@uib.no
G
inc
kjg k j
H
kjh k j
P
0P
2. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
2
Molar gas constant [kJ/(K mol)]
Temperature [K]
Tc Critical temperature [K]
No. of type cavities per water molecule
vmMolar volume [m3
/mol]
Molar volume of rth component [m3
/mol]
Volume of clathrate [m3
]
Mole fraction
Mole fraction of water
Y Residual chemical potential per Kelvin
z Mole fraction
Liquid (water) phase fraction
β Inverse of the gas constant times temperature
Chemical potential [kJ/mol]
Chemical potential for water in empty hydrate structure [kJ/mol]
Fractional occupancy of cavity by component
Activity coefficient
𝜙 Order parameter
𝜌 Molar density [kg/m3
]
I. INTRODUCTION
Pipeline transport of large volumes of natural gas at low temperatures and high pressures is a
continuous operation. In the North Sea alone there is about 7800 km of pipeline transporting in the order of 96
billion standard cubic meter of gas per year. Most of the transport lines lie on the seafloor and are exposed to
temperatures 2 – 6ºC. With pressures spanning the range from 200 atmto that at receiving terminals, large
portion, if not all, of the pipeline transport will occur within hydrate formation conditions. Under these
conditions, transported gas mixtures have shown a tendency to form ice like structures, known as clathrate
hydrates (cf. 1
and references therein). Hydrate nucleation and growth within a dense stream of natural gas with
significant admixtures of impurities (limited to water in this work) is a complex process involving competing
phase transition mechanisms and pathways, where both kinetics and thermodynamics play an important role.
Schemes currently employed by the industry toevaluatehydrate risks assume that hydrateformation will be
determined by dropout of water within the gas bulk and thus calculate the dew-point temperature of the given
mixture. This approach completely ignores the factthat the presence of rust on the pipeline walls will provide
water adsorption sites and thus add additional pathways for hydrate formation.
The problem will be even further complicated by the general inability of hydrate formation within a
pipeline to reach thermodynamic equilibrium due to restrictions imposed by either the Gibbs phase rule or
transport limitations. Consider a simple case of methane hydrate forming from water present in methane; here C,
the number of components is two (water and methane), and the number of phases, N, is two phases as well (solid
hydrate and methanegas with impurities). According to the Gibbs phase rule (𝐹 = 𝐶 − 𝑁 + 2), this will leave
two degrees of freedom, i.e.𝐹 = 2. Though this result would appear to indicate a chance for the system to
achieve equilibrium by varying local temperature and pressure hydrate nucleus might never reach a critical size
due to mass transport limitations and very low concentration of water in methane.Getting rid of crystallization
heat will pose yet another issue that can severely limit the rate of hydrate formation, since methane is a much
worse thermal conductor compared to hydrate and liquid water clusters prior to hydrate formation.
The presence of solid surfaces will also have an indirect effect on hydrate formation on the interface
between the methane-rich gas and the aqueous phase adsorbed on rusty walls. Thispotential impact of water-
wetting surfaces on the phase transitions should not be discounted just because of the gas phase will dominate as
far as the mass is concerned. Hydrate nucleation and growth may occur when eitherbothwater and hydrate guest
molecules are adsorbed on the surface or only water is in the adsorbed phase and guest molecules species are
imported from the methane-rich phase. Given the general lack of equilibrium, chemical potentials of hydrate-
forming species will not be the same across the phases.In accordance with statistical thermodynamics hydrate
R
T
jv j
rV
clath
V
x
wy
0,H
w
kj k j
3. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
3
models of1
, this will lead toformation of several different co-existing hydrate phases even in the simple case of
only water present in methane.Mixtures of ethane and methane will form structure I hydrates due to the very
favorable stabilization of the large cavity by ethane. Additional content of propane is likely to lead to a mixed
hydrate since structure will be favorable as long as propane is left in the gas mixture. Subsequent hydrate
formation for remaining ethane and methane will be structure I.
Different Hydrate Formation Routes: Impact Of Multiple Phases
Table 1 lists the alternative routes to hydrate formation and re-dissociation relevant for pipeline
transport of natural gas analyzed and ranked basing on their associated free energy changes:
H,i H,i p H,i H,i p
w w w gas gasi gasx ( ) x (G ) (1)
Subscript“w” stands for “water” in either hydrate or other phase, “gas” for hydrate guest molecules;𝐻is
for hydrate phase, "𝑖"indicates the scenario, "𝑝"refers to either liquid, gas or adsorbed phase, 𝑥 is composition,𝜇,
chemical potential. Sign𝛿is 1 for hydrate formation or reformation and -1 for dissociation. As pointed out
earlier, the different pathways of Table 1 will lead to creation of hydrate varying in filling fraction and thus free
energy, i.e. its own individual hydrate phase.
When there are only two components (methane and water) involved, and the number of possible phases
exceeds two, as it will for pipeline transport with four phases (methane-rich fluid, aqueous phase, adsorbed
phase, hydrates), the Gibbs phase rule will correspond to a system over-determined by two parameters . It might
seem that adding more components, like ethane and/or propane, to the fluid phasewould increase the number of
degrees of freedom and make equilibrium attainable. From the dynamic point of view, it is however unlikely
that hydrate equilibrium can be reached during pipeline transport of natural gas with impurities.One should keep
in mind that thermodynamics will guide the system towards the lowest free energy state currently possible via
driving forces proportional to the free energy differences. These forces will be fairly large in our case and
resulting in more stable hydrates forming first and hydrate composition changing in time. While a stable hydrate
are prevented from reforming into a less stable form, a less stable hydrate is unable to reform into a more stable
one without a supply of new hydrate formers. Under continuous flow, the latter option may become feasible due
to continuous supply of “fresh” components from the stream. In addition, when in contact with phases under-
saturated with respect to hydrate formers, hydrate may dissolve or reform with different compositions.
Scenarios covered by conventional industrial hydrate risk evaluation schemes largely assume that
hydrate will nucleate and grow from gas and liquid water (route 6). We are not aware of any available
commercial or academic codes that consider homogeneous hydrate formation from hydrate guest components
dissolved in water. And no hydrate code available at present is able to treat heterogeneous hydrate formation in
the presence of solid surfaces. Given the growing body of evidence that growth and propagation of thin hydrate
films on the interfaces will be impacted by hydrate formation towards surfaces even in stationary situations,
ignoring these processes can constitute a serious oversight. We believe that this work will also contribute to
stimulating the discussion on how to incorporate these aspects 2,3
into a new generation of hydrate risk
evaluation tools based on non-equilibrium thermodynamics. The outlined approach can also be extended to
other hydrate-forming fluids containing water, including transport of liquid hydrocarbons containing structure I
and II hydrate formers. In general, the proposed analysis scheme can also include guest components that form
structure H hydrates, although kinetic studies seems to indicate that structure H forms slowly compared to
structure I and II.
The various possible hydrate phase transitions listed in table 1 is not even complete but at least
provides a flavor of the complexity of competing hydrate phase transitions in a general non-equilibrium
situation. Given all of the possibilities listed in Table 1, a truly rigorous approach to hydrate risk evaluation
would be the one that incorporates mass and heat transport as constraintsinside a free energy minimization
scheme that also accounts for hydrodynamic effects. A simpler (but less rigorous) analysis scheme more
compatible with conventional hydrate equilibrium codes can provide a viable alternative when consistent
absolute thermodynamic properties are available for the different phase transitions. One may apply either the
classical nucleation theory or the Multi-component Diffuse Interface Theory (MDIT) 2,4
to evaluate the phase
transitions in Table 1. Routes 1 through 4 can be excluded from consideration immediately since their
corresponding free energy changes will be either positive or not negative enough to overcome the penalty of the
surroundings work. Simple kinetic theories can be used to eliminate very slow phase transitions and thus focus
the evaluation on a handful of truly important ones.
One of the main goals in this work involved presenting routes to absolute thermodynamic properties
(i.e. with ideal gas as reference state) for all the co-existing. A section focusing on equilibrium thermodynamics
that follows outlines approaches and models we have used for this purpose. While the models employed there
may be refined and extended, the approach presented provides a good starting point for an accurate analysis of
4. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
4
hydrate formation. We then briefly discuss the consequences of the non-equilibrium nature of hydrate phase
transitions. The subsequent sections describe our numeric simulations; theyare centered on assessing the
possible hydrate formation routes with the aid of equation (1) and absolute thermodynamics.It should be pointed
out that absolute thermodynamic properties obtained fromatomistic simulations have been quite successful at
predicting hydrate equilibrium curves 1,2
.
Table 1. Some of the various possible routes to formation and dissociation of natural gas hydrate. δ is
the sign of free energy change involved in hydrate phase transition, in which value 1 indicates favorable
formation and -1 dissociation. i is just a phase transition index.
i δ Initial phase(s) Driving force Final phase(s)
1 -1 Hydrate Outside stability in terms of local P and/or T Gas, Liquid water
2 -1 Hydrate Sublimation (gas under saturated with water) Gas
3 -1 Hydrate Outside liquid water under saturated with respect
to methane and/or other enclathrated impurities
originating from the methane phase
Liquid water, (Gas)
4 -1 Hydrate Hydrate gets in contact with solid walls at which
adsorbed water have lower chemical potential
than hydrate water
Liquid water, Gas
5 +1 Gas/fluid Hydrate more stable than water and hydrate
formers in the fluid phase
Hydrate
6 +1 Gas + Liquid
water
Hydrate more stable than condensed water and
hydrate formers from gas/fluid
Hydrate
7 +1 Surface
reformation
Non-uniform hydrate rearranges due to mass
limitations (lower free energy hydrate particles
consumes mass from hydrates of higher free
energy)
Hydrate
8 +1 Aqueous phase Liquid water super saturated with methane and/or
other hydrate formers, with reference to hydrate
free energy
Hydrate
9 +1 Adsorbed Adsorbed water on rust forms hydrate with
adsorbed hydrate formers
Hydrate
10 +1 Adsorbed +
fluid
Water and hydrate formers from gas/fluid forms
hydrate
Hydrate
Equilibrium Thermodynamics Of Fluid
A thermodynamic equilibrium is achieved when temperatures, pressures and chemical potentials of all
components are equal in all co-existing phases. To insure the same reference values for free energy, all the
chemical potential estimates, no matter what the phase, should employ ideal gas as the reference state:
idealgas
i i i(T,P, y) (T,P, y) RTln (T,P, y)
(2)
where is the fugacity coefficient of component 𝑖 in a given phase.
Another reference state for the chemical potential of a liquid state component 𝑖may also be used as an
intermediate:
idealliquid
i i i(T,P,x) (T,P,x) RTln (T,P,x)
(3)
ilim( ) 1.0
whenxi → 1.0
whereγi is the activity coefficient for component i in the liquid mixture. Note that when chemical
potential of pure water has been estimated using molecular simulations, the application of equation (3) in case of
water will be also based on absolute thermodynamics. The data from Kvamme& Tanaka 1
will be used in this
work.
Infinite dilution is yet another reference state that has proven useful in case of gases with low solubility in water
(route 8):
i i i i(T,P,x) (T,P,x) RTln x (T,P,x)
(4)
when xi → 0
withsuperscript “∞” standing for infinite dilution. This particular convention is known as the non-
symmetric convention since the limit of the activity coefficient for the component i will approach unity as its
i
ilim( ) 1.0
5. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
5
mole fraction vanishes. As shown in 4,5
, molecular dynamics combined with the Gibbs-Duhem relation provides
a convenient method to estimate absolute values for the required chemical potential at infinite dilution.
Provided that thermodynamic properties of all phases can be defined and evaluated both in equilibrium
and outside of it, the combined first and second laws of thermodynamics would enforce a certain partitioning of
all available components (and the total mass) over all phases able to coexist under local pressure and
temperature conditions. Theestimation of out-of-equilibriumvalues will be fairly straightforward for most of the
relevant fluid phases, with only the hydrate phase requiring a special consideration (see extensive discussion in
Kvammeet al2
). Combining thermodynamic formulations for fluids in equations (2) to (4) with hydrate non-
equilibrium formulations from Kvammeet al2
will make it fairly straightforward to minimize the free energy and
obtain estimates for the local phase concentrations that satisfy the first and the second law of thermodynamics.
Several algorithms capable of implementing this approach are available in the open literature.
Except in the case of hydrates,relevant pressures and temperatureswill largely correspond to a liquid
state. Cases and scenarios considered here entail very limited mutual solubilities and/or limited concentrations,
especially that ofwater in methane.The following approximation should therefore prove sufficiently accurate for
most industrial applications in which hydrate formation is a risk factor:
i,j i,j i,j i,j(T,P,x) (T,P) RTln x (T,P,x)
(5)
where subscript j refers to components; subscript i denotes different phases. In the context of this work, j is
“methane” in case of the methane-rich phase and “H2O” for the aqueous phase, “∞” refers to infinite dilution.
Equilibrium Thermodynamics Of Hydrate
Chemical potential of water when in the hydrate phase can be found by applying the statistical
mechanical model for water in hydrate 1
:
(6)
where subscript H denotes the hydrate phase, superscript 0 stands for the empty hydrate structure;vk is
the fraction of cavity of type k per water molecule. In case of structure I hydrates;νk = 1/23 for small cavities (20
water molecules) and 3/23 for large cavities (24 water molecules). hik is the canonical partition function for a
cavity of type k containing a “guest” molecule of type i, given by the following equation:
(7)
where β is the inverse of the gas constant times temperature, while reflects the impact on
hydrate water from the inclusion of the “guest” molecule i in the cavity 1
. At equilibrium, chemical potential of
hydrate guest molecule i, , must to be identical to its chemical potential in the phase it has been extracted
from. The hydrate content of all guest gas components can be estimated by applying equation (4) to calculate
their chemical potential when dissolved in the methane phase. It must be noted that chemical potential of liquid
water will be influenced by the presence of hydrogen sulfide and carbon dioxide while the solubility of
hydrocarbons in liquid water is so low that they might be approximated to not affect activity of liquid
water.Since water will totally dominate the dew point location, a simple approximation for hydrate formation in
case of liquid water dropout (i.e. route 6) can be achieved by applying equation (8) below. Solving equation (8)
for the given local temperature will yield the corresponding hydrate formation pressure. If this formation
pressure is lower than the local pressure defined by flow’s fluid dynamics, one can then estimate the mole
fractions of condensed water by simultaneously satisfying the mass balance and equilibrium criteria. This
approach is quite similar to flash calculations commonly employed in chemical engineering, though in terms of
fugacity formulation rather than a chemical potential one.
, 2 , 2 , 2
1 2
,
,
( , ) ln (ln 1 , , )purewater
k i H O i H O i H
O H
k O
k
w i
i
T P RR T x T PTv h x
(8)
We should emphasize here that chemical potential of empty hydrate structure estimated from
Kvamme& Tanaka 1
has been verified to have predictive capabilities, which makes any empirical
,
,
,
1 2
ln 1O
w H w H ik k
k i
RTv h
H
i
nc
ik
i
g
ikh e
inc
jk
g
H
i
6. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
6
formulationsredundant and even possibly non-physical, given the fundamental nature of chemical potential. If
the estimated hydrate formation pressure is lower than the local one, hydrate will form via this particular route.
Asubsequent flash calculation using local pressure and temperature will provide the upper limit of
liquid water mole fraction that can be supported by the methane-rich phase. If water dew-point pressure is lower
than the local pressure, water will drop out as a liquid phase. In this case, one may assume that free water will be
available for the process of hydrate formation, with hydrate oflowest free energy appearing first. Given that
ethane and propaneisamore vigorous hydrate former than methane, the initially formed hydrates will be much
richer in ethane and propane compared to any later ones. In contrast to the “standard” calculations, this approach
does not consider the usual hydrate formation from the “bulk”but rather searches for hydrate with the lowest
absolute free energy able to nucleate from the available natural gas mixtureunder the kinetic restrictions of
mass- and heat transport. In other words, one would aim to minimize the following equation in terms of hydrate
formation pressure while taking into account the fact our system will be unable to reach equilibrium:
(9)
One can apply the non-equilibrium description of hydrate due to Kvammeet al2
to follow the free
energy gradients until the methane phase has been mostly depleted of the best hydrate former,
ethane/propane.The analysis of equation (9) will also require the knowledge of hydrate composition, which can
be found by applying statistical thermodynamic theory to the adsorption hydrate model (left hand side of
equation (8)); the composition will be given by:
(10)
where θik is the filling fraction of componenti in cavity type k, is the mole fraction of component i
in cavity type k, xT is the total mole fraction of all guests in the hydrate, and vk is, as defined above, the fraction
of cavities per water of type k.
We have fitted computed free energies of guest inclusion in the large cavity of structure I to a series in
inverse reduced temperature.
5
0
0
i
inclusion c
i
T
g k
T
(11) ,
where Tc is the critical temperature of the guest molecule in question (see figures 1 and 2).
The free energy of inclusion in equation (11) can be estimated followingKvamme& Tanaka 1
and
Kvammeet al5
for the components included in this study(methane, Ethane and Propane). Thermodynamic
consistency has been a high priority throughout this work, and it was not our intention to adjust any parameters
to fit experimental data. Molecular dynamics simulations reported in this work were meant to extending the
approach of 1
to larger hydrate systems and temperatures ranging between 273.15 K and 280 K. This was done
in order to get a better resolution in the range of interest for this study. The main focus of our efforts was to
study hydrate risks during transport of natural gasbetween Norway and the continent (Germany) via the North
Sea pipelines.
The seafloor temperatures there rarely rise above 6ºC. Figures 1 and 2 shows plots of the parameters
applied as function of temperature. Parameters corresponding to empty hydrates and ice will not be significantly
affected,allowing the parameters of Kvamme& Tanaka 1
to beused. Similarly, chemical potential estimates for
liquid water were extended from 0ºC by means of thermodynamic relationships and experimental data on
enthalpy of dissociation and liquid water heat capacities. See Kvamme &Tanaka1
for moredetails.
H H H
i i
i
G x
1 1
ik
H
ik
ik
k
i
ikT
x h
v x h
H
ikx
7. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
7
Figure 1.Free energy of inclusion of guest into hydrate structure II cavities (as positioned at 278 K). Lower
curve is for propane in large cavity followed by ethane in large cavity and then methane in large cavity and then
on top methane in small cavity.
Figure 2. Free energy of inclusion of guest into hydrate structure I cavities (as positioned at 278 K). Lower
curve is for ethane in large cavity followed by methane in small cavity and then methane in large cavity on top.
Verification Of Models And Other Assumptions
Since the free energies of guest molecule inclusions in equation (7) are based on molecular simulations
of model systems we do not expect the resulting pressure, temperature equilibrium curves to match experimental
data. But rather than making empirical fitting functions it is better in the context of this paper to stick to the
values obtained and as plotted in figures 1 and 2 above.
Comparison for structure I hydrate of methane (figure 3) and ethane (figure 4) with experimental values
show a fair agreement while structure II estimates for propane (figure 5) is underestimated in terms of
stabilization. But they are nevertheless demonstrating that the model systems are suitable for qualitative
evaluation of water drop out curves. It is also important to keep in mind that, as consequence of the first and
second laws of thermodynamics, mixed hydrates will frequently occur. Like for instance in the system of 90%
methane and rest ethane. Since this system will form structure I, and large cavities suitable for ethane are in a
ratio of 3:1 versus small cavities, then it is clear that the first hydrates that forms will be very rich in ethane and
the final hydrates will be methane. So within the scope of this work also estimates for that system is deemed
sufficient. Possible users of the findings in this work can easily incorporate our models into their own hydrate
codes. Very limited eexperimental data for the gas mixture hydrate consisting of methane, ethane and propane
were found in open literature. For a system of 10% ethane in methane the estimated equilibrium curve is plotted
8. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
8
along with experimental data in figure 6. Given the limited amount of ethane in the system and a 3:1 ratio of
large to small cavities in structure I it is expected that hydrate from this system in reality is a mixture of various
hydrates ranging from an initial ethane rich hydrate to a final methane hydrate.
Figure 3. Estimated and experimental hydrate equilibrium curve for pure methane. Solid line – our estimates;
asterisks – experimental data from Maekava6
.
Figure 4. Estimated and experimental hydrate equilibrium curve for pure ethane. Solid line – our estimates;
asterisks – experimental data from Holder and Hand7
.
Figure 5. Estimated and experimental hydrate equilibrium curve for pure propane. Solid line – our estimates;
asterisks – experimental data from Reamer et al8
.
9. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
9
Figure 6. Estimated and experimental hydrate equilibrium curve fora mixture of 90% methane and 10% ethane.
. Solid line – our estimates; asterisks – experimental data fromMaekava6
.
Analysis Of Routes To Hydrate Formation
The primary goal of this study was to gain insights into possible routes to hydrate formation and their
relative importance during pipeline transport of natural gas, and also investigate how ethane and propane will
influence the hydrate formation.In terms of the possible hydrate phase transitions listed in table 1, a conservative
approach to hydrate risk evaluation would disregard all routes resulting in re-dissociation of hydrate (i.e. routes
1 – 4). The focus of this study was to investigate routes 6 and 10 and they are discussed below.
Hydrate formation involving condensed water and hydrate formers from the natural gas stream (routes
6)
Combining equation (3) for water in the condensed liquid phase with pure water in the ideal liquid
water term from Kvamme& Tanaka 1
with residual thermodynamics (equation (2)) for water dissolved in natural
gas will yield an approximate of water dew-point concentration for water in natural gas at given T and P. The
above-described scheme might suffice for risk analysis related to route 6. Alternatively, combined mass
balances and equilibrium can be solved iteratively for liquid water drop-out and water phase composition. If
hydrate formation conditions are met, hydrate will form. Equation (2) with SRK 9
has been used as the equation
of state forall components and natural gas mixtures. SRK is deemed accurate enough for the purposes of
illustration. The SRK equation 9
was used to evaluate the deviations from ideal gas behavior via the fugacity
coefficient.
While 50 bars may be a typical pressure during gas processing 250 bars is typical during pipeline
transport. Seafloor temperatures in the North Sea are typically between -1 degrees Celsius and 6 degrees
Celsius.Figures 7 to 9 shows plots of limits for water content before drop out as liquid. This is actually water
dew-point curves under the simplification that the initial theoretical droplet is pure water. Due to the low density
of methane (figure 7) at all conditions as compared to ethane and propane (figures 8 and 9 respectively)
densities at same conditions there is a qualitative change.
For methane the water solubility decrease with increasing pressure while the opposite is the case for
ethane and propane, which have substantially higher density for the high pressure and would make it make it
more difficult for water to enter.
10. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
10
Figure 7. Maximum water content before liquid water drop out, for pure methane. Curves from top to bottom
correspond to pressure 50 bar, 90 bar, 130 bar, 170 bar, 210 bar, 250 bar.
Figure 8. Maximum water content before liquid water drop out, for pure ethane. Curves from top to bottom
correspond to pressure 250 bar, 210 bar, 170 bar, 130 bar, 90 bar, 50 bar.
Figure 9. Maximum water content before liquid water drop out, for pure propane. Curves from top to bottom
correspond to pressure 250 bar, 210 bar, 170 bar, 130 bar, 90 bar, 50 bar.
11. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
11
Natural gas mixtures are dominated by methane and some realistic mixtures are examined in figures 10
– 13. Although there are some differences in the behavior in terms of maximum water content before drop-out
as liquid the trend is similar to that for pure methane in figure 7 although shifted slightly towards lower values
for pressures up to 130 bars.
Figure 10. Maximum water content before liquid water drop out, for a mixture of 90% methane and 10%
ethane. Curves from top to bottom correspond to pressure 50 bar, 90 bar, 130 bar, 170 bar, 210 bar, 250 bar.
Figure 11. Maximum water content before liquid water drop out, for a mixture of 80% methane and 20%
ethane. Curves from top to bottom correspond to pressure 50 bar, 90 bar, 130 bar, 170 bar, 210 bar, 250 bar.
Figure 12. Maximum water content before liquid water drop out, for a mixture of 90% methane and 10%
propane. Curves from top to bottom correspond to pressure 50 bar, 90 bar, 130 bar, 170 bar, 210 bar, 250 bar.
12. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
12
Figure 13. Maximum water content before liquid water drop out, for a mixture of 95% methane, 4% ethane and
1% propane. Curves from top to bottom correspond to pressure 50 bar, 90 bar, 130 bar, 170 bar, 210 bar, 250
bar.
Hydrate formation involving adsorbed water and hydrate formers from the fluid stream(route 10)
The maximum water content before drop-out as adsorbed on Hematite is plotted for methane, ethane
and propane in figures 14, 15 and 16 respectively. The general trend is the same as for the water dew-point
mole-fraction in the previous section but the actual limits are far smaller – in the order of 1/20 as compared to
the water dew-point criteria.
Figure 14.Maximum water content before adsorption on hematite, for pure methane as carrier gas. Curves from
top to bottom correspond to pressure 50 bar, 90 bar, 130 bar, 170 bar, 210 bar, 250 bar.
Figure 15.Maximum water content before adsorption on hematite, for pure ethane as carrier gas. Curves from
top to bottom correspond to pressure 250 bar, 210 bar, 170 bar, 130 bar, 90 bar, 50 bar.
13. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
13
Figure 16.Maximum water content before adsorption on hematite, for pure propane. Curves from top to bottom
correspond to pressure 250 bar, 210 bar, 170 bar, 130 bar, 90 bar, 50 bar.
Examining the same natural gas mixtures as in the previous section the trend is as expected still
dominated by methane but the tolerance limits for water mole-fractions are shifted dramatically as compared to
the water dew-point criteria, as can be seen from the plots in figures 17 – 20.
Figure 17.Maximum water content before adsorption on hematite, for a mixture of 90% methane and 10%
ethane. Curves from top to bottom correspond to pressure 50 bar, 90 bar, 130 bar, 170 bar, 210 bar, 250 bar.
Figure 18.Maximum water content before adsorption on hematite, for a mixture of 80% methane and 20%
ethane. Curves from top to bottom correspond to pressure 50 bar, 90 bar, 130 bar, 170 bar, 210 bar, 250 bar.
14. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
14
Figure 19.Maximum water content before adsorption on hematite, for a mixture of 90% methane and 10%
propane. Curves from top to bottom correspond to pressure 50 bar, 90 bar, 130 bar, 170 bar, 210 bar, 250 bar.
Figure 20.Maximum water content before adsorption on hematite, for a mixture of 95% methane, 4% ethane
and 1% propane. Curves from top to bottom correspond to pressure 50 bar, 90 bar, 130 bar, 170 bar, 210 bar,
250 bar.
The main difference between route 10 and route 6 is the concentration at which water drops out from
the gas. Hydrate formation according to route 10 is only possible at some distance from the rust surface since
water chemical potential in the adsorbed layer will be too low to form hydrates. Our earlier Molecular Dynamics
simulations 10
have shown that adsorbed water structure will strongly affect the liquid water until about 3 – 4
molecular diameters from hematite surface. A structured water film roughly 1.2 nm in thickness will form on the
hematite surface and bridge it with the hydrate hematite surface. This formation of interface hydrate from bulk
liquid water and hydrate formers from the gas phase will be the common feature for routes 6 and 10. Adsorbed
water chemical potential as low as 3.4 kJ/mole less than liquid water chemical potential make a big difference in
limits for water drop-out mole-fractions.
Figures 14 through 20showthe estimated upper water content supported by the natural gas mixtures
before it starts dropping out via adsorption on hematite forpure methane, ethane and propane, and also a variety
of mixtures of these. This includes a mixture of 95% methane, 4% ethane and 1% propane, which is comparable
to the Troll composition11
.The trend for maximum water tolerance remains the same as in the case of water dew-
point but shifted 1 to 2 orders of magnitude downwards.
The Consequences Of Non-Equilibrium Thermodynamics
The non-equilibrium aspects of hydrate phase transitions discussed above will impose substantial
challenges for laboratory experiments conducted at temperatures and pressures falling with the hydrate stability
regions. While methane solubility in water is so small that one can safely ignore any hydrate implications, the
situation will be very different in case of impurities likeethane and propane. This will be due to ethaneand
propanesolubility being largely controlled by the presence of hydrate phases. Within the hydrate stability
15. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
15
regionwhere water exists as hydrate,chemical potential of water encaging hydrate guest molecules will be lower
than that of liquid water at the same temperature and pressure. Hence, the solubility of ethane and propanewill
be significantly smaller for a similar system that does not contain hydrate. This fact can be verified by a limited-
range extrapolation of the rigorous version of Henry’s law into the hydrate region. The difference between the
hydrate-controlled maximum concentration of ethane and propanein water and the ethane and propane dissolved
in water will correspond to the amount of hydrate that can be produced from ethane and propane dissolved in
water 2,4
The impact of solid surfaces will introduce additional challenges when it comes to interpretation of
experimental results. We are not aware of any experiments that attempted to quantify the impact of solid water-
wetting surfaces on carbon dioxide solubility in hydrate-controlled regions. Given the arguments presented
above, even the most recent experiments on carbon dioxide solubility in hydrate-forming regions may still be
subject to misinterpretation,leaving many of estimates presented in this work without experimental data to
comparison to. Hydrate nucleation and growth under non-equilibrium conditions will be facilitated by
heterogeneous nucleation (solid surfaces and hydrate former/water surface), and since chemical potentials of
hydrate formers and water may differ from the bulk phase properties, the composition and free energy of formed
hydrates will be different as well. Different experimental facilities with varying materials and set-ups that give
rise to variations in the progresses of hydrate formation will impose additional uncertainties.
The challenge of non-equilibrium thermodynamics and competing hydrate phase transitions can be
handled on several levels, a number of strategies discussed elsewhere (see 2,3
and references therein).These
discussions can be supplemented by corresponding equations for hydrate sub- and super- saturation presented in
this paper. The simplified discrete evaluation scheme outlined here can easily be implemented to extend the
existing industrial hydrate risk evaluation codes by enumerating possible routes this will yield corresponding
levels of acceptable carbon dioxide content. The rigorous schemes of 2,3
do require consistent reference values
for thermodynamics of all phases interacting with the hydrate.Estimates based on routes 6 or 10 are conservative
since no routes of hydrate dissociation have been accounted for. This can be accomplished through advanced
modeling on nano to millimeter scale using Phase Field Theory (PFT)12, 13
. Due to the low concentrations of
water and possible resolutions in Computational Fluid Dynamics (CFD) simulations it is more unclear if a
similar analysis is as feasible within CFD. But a conservative approach as demonstrated here is certainly
feasible to implement in CFD tools.
II. CONCLUSIONS
Our rigorous analysis of the Gibbs phase rule applied together with the first and the second laws of
thermodynamicshas proven that hydrate nucleation and growth during transport of methane-rich gas with water
and other impurities is extremely unlikely to attain equilibrium. Instead, the time evolution of phase transitions
will be governed by the free energy minimum. The correspondingthermodynamic analysis of phase transitions
will require knowledge of consistent thermodynamic properties for all components in all the phases. In this
work, we have shown the way to calculate the chemical potential for water in all phases, including empty
hydrate, adsorbed phase, and aqueous solution by plugging properties yielded by molecular dynamics
simulations into classical thermodynamic relationships. The most likely hydrate formation scenario will involve
water dropping out via adsorption onto rusty pipeline walls. The hydrate formation will start from the
accumulated water film. In a possible revision of current best practices for hydrate prevention, it is therefore
recommended to reduce water level in the methane-rich phase to below the concentration triggering adsorption-
dominated drop-out. Calculating this level will require a procedure similar to that of water dew-point estimation
but using chemical potential values characteristic for adsorptionon the surface of interest (either hematite as in
this work, or other iron oxide/hydroxide and iron carbonates).It is, however, important to point out that possible
hydrate nucleating towards rusty surfaces are unable to attach directly to these iron oxide surfaces due to
incompatibility of partial charges between hydrate water partial charges and partial charges on atoms in the
mineral. These hydrate nuclei will be linked by structured water to the iron oxides but might be released by
frictional forces induced by flow. As such continued hydrate growth can happen towards the iron oxide walls or
in the hydrocarbon flowstream by attracting more water and hydrate formers from the hydrocarbon stream, or
dissolving again if the local hydrocarbon composition is under saturated with water.
ACKNOWLEDGEMENTS
We acknowledge the grant and support from Research Council of Norway through the project “FME-
SUCCESS”. Support from TOTAL, Gassco and Research Council of Norway through the project “CO2/H2O+”
is also greatly acknowledged.
16. Hydrate Formation During Transport Of Natural Gas Containing Water And Impurities
16
REFERENCES
[1]. B. Kvamme,H. Tanaka,.“Thermodynamic Stability of Hydrates for Ethane, Ethylene, and Carbon
Dioxide,“.J. Phys. Chem.,Vol.99, PP.7114-71191995
[2]. B.Kvamme,;T . Kuznetsova,,;P.-H.Kivelæ,.;J. Bauman,. “Can hydrate form in carbon dioxide from
dissolved water,“PCCP., Vol.15,PP.2063-2074, 2013.
[3]. T. Buanes,.“Mean-field approaches applied to hydrate phase transition kinetics,“PhD thesis, University of
Bergen, Norway, 2008.
[4]. B. Kvamme, T.Kuznetsova, S.Stensholt, ;S. Sjøblom,” Investigating chemical potential of water and H2S
in CO2streams using molecular dynamics simulations and the Gibbs-Duhemrelation,”J. Chem. Eng.
DataVol. 60, PP. 2906-2914, 2015.
[5]. B. Kvamme, T. Kuznetsova,B. Jensen,S.Stensholt,J. Bauman,S.Sjøblom, K.N. Lervik,” Consequences of
CO2 solubility for hydrate formation from carbon dioxide containing water and other
impurities,”PCCPVol.16, PP. 8623 – 8638, 2014.
[6]. T. Maekava, ”Equilibrium conditions for gas hydrates of methane and ethane mixtures in pure water and
sodium chloride solution,”GJ, , Vol. 35, PP. 59-66, 2001.
[7]. G. D.Holder,J. H.Hand, ”Multi-phase equilibria in hydrates from methane, ethane, propane and
water,”AIChE J.,Vol. 28, PP. 440-4471982.
[8]. H.H. Reamer, F.T. Selleck, B. H. Sage, ” Some Properties of Mixed Paraffinic & Other Olefinic
Hydrate,” Trans. Am. Inst. Min., Metall. Pet. Eng., Vol195, PP.197-202, 1952.
[9]. G. Soave“Equilibrium constants from a modified Redlich-Kwong equation of state,”Chem. Eng. Sci.,
Vol. 27, PP.1197-1203, 1971.
[10]. B. Kvamme, T.Kuznetsova,P.-H. Kivelæ.”Adsorption of water and carbon dioxide on hematite and
consequences for possible hydrate formation,”.PCCPVol.14, PP.4410-4424.2012.
[11]. H.K. Ebbrell“The composition of Statoil (Norway) gas well Troll 31/6-6 [Internet]. [cited 2017-01-18].
Available
from:http://www.npd.no/engelsk/cwi/pbl/wellbore_documents/127_05_31_6_6_The_Composition_of_St
atoil_Gas_Well.pdf
[12]. B.Kvamme, M.Qasim, K.Baig, P. H. Kivelä, J. Bauman, “Phase field theory modeling of methane fluxes
from exposed natural gas hydrate reservoirs,”, International Journal of Greenhouse Gas Control., Vol. 29,
PP. 263–278, 2014
[13]. K.Baig, B.kvamme, T. Kuznetsova, J. Bauman, “The impact of water/hydrate film thickness on the
kinetic rate of mixed hydrate formation during CO2 injection into CH4hydrate”, AIChE journal., Vol. 61,
Issue 11, PP. 3944–3957, November 2015.