This document discusses modeling the flow of non-Newtonian fluids in porous media. It defines Newtonian and non-Newtonian fluids and describes different types of non-Newtonian behavior including time-independent, time-dependent, and viscoelastic. Network modeling techniques are presented for simulating flow using pore-scale images and representative rheological models. Strategies are discussed for modeling time-independent, time-dependent, and viscoelastic fluids using network modeling approaches. Future work is noted to implement time-dependent modeling strategies and investigate viscoelastic effects.
This document discusses modelling non-Newtonian fluid flow through porous media. It defines Newtonian and non-Newtonian fluids, describes various rheological models including time-independent, viscoelastic, and time-dependent behaviors. It also discusses different modelling methodologies like continuum, bundle of capillaries, and network modelling approaches. Network modelling accounts for physics at the pore level and is computationally affordable. The document outlines strategies for modelling time-independent, viscoelastic, and time-dependent non-Newtonian fluid flow through pore networks.
1. The document discusses viscoelastic flow in porous media, including linear and non-linear models of viscoelasticity. 2. It describes continuum and pore-scale approaches to modeling viscoelastic flow, noting advantages and limitations of each. 3. Network modeling is presented as an example pore-scale approach, with the Tardy-Anderson algorithm provided as a specific technique for solving the network flow equations iteratively.
This document discusses modelling the flow of viscoelastic fluids through porous media. It describes that viscoelasticity exhibits both viscous and elastic properties, which can be modelled by combining laws of viscous fluids and elastic solids. The Upper Convected Maxwell and Oldroyd-B models are presented as approaches to model viscoelastic behaviour. The challenges of modelling viscoelastic fluid flow through porous networks are outlined, requiring iterative solutions to determine pressure fields. The Tardy-Anderson algorithm is described as a method that discretizes capillaries and iteratively solves for pressure drops and flow rates.
The physical meaning of term Ax Ay(pv,)l, in Eq. 3.1-2 is the net rate of mass efflux per unit volume. The physical meaning of (V.pv) is the divergence of pv, which is the mass flux. The divergence has a simple meaning as the net rate of mass efflux per unit volume. A very important special form of the equation of continuity is for an incompressible fluid, where the divergence of the velocity (V.v) is equal to 0, meaning no change in density.
This document summarizes a numerical study of single-phase and two-phase flow through sudden contractions in mini channels. Two-phase computational fluid dynamics simulations using an Eulerian-Eulerian model were performed to calculate pressure drop across contractions for water, air, and air-water mixtures. The pressure drop was determined by extrapolating pressure profiles upstream and downstream. Results were validated against experimental data and used to develop a correlation for two-phase pressure drop due to contraction.
Gas-Particulate Models of Flow through Porous StructuresIJERA Editor
A recently developed general model of gas-particulate flow is sub-classified in this work. The model takes into
account both the Darcy resistance and the Forchheimer effects, and is valid for variable particle number density
and flow through variable porosity media. The form of governing equations is discussed when the particle
relaxation time is small.
This document summarizes an experimental study on the evolution of turbulent patches in dilute polymer solutions. Key findings include:
1) Polymer solutions resulted in a smoother turbulent/non-turbulent interface compared to water, with lower flow length scales and consistently lower entrainment rates.
2) Inside the turbulent patches, polymer solutions exhibited higher kinetic energy densities compared to water.
3) Future work is planned using 3D particle tracking velocimetry to further validate results and provide more insight into the interface dynamics.
This document discusses modelling non-Newtonian fluid flow through porous media. It defines Newtonian and non-Newtonian fluids, describes various rheological models including time-independent, viscoelastic, and time-dependent behaviors. It also discusses different modelling methodologies like continuum, bundle of capillaries, and network modelling approaches. Network modelling accounts for physics at the pore level and is computationally affordable. The document outlines strategies for modelling time-independent, viscoelastic, and time-dependent non-Newtonian fluid flow through pore networks.
1. The document discusses viscoelastic flow in porous media, including linear and non-linear models of viscoelasticity. 2. It describes continuum and pore-scale approaches to modeling viscoelastic flow, noting advantages and limitations of each. 3. Network modeling is presented as an example pore-scale approach, with the Tardy-Anderson algorithm provided as a specific technique for solving the network flow equations iteratively.
This document discusses modelling the flow of viscoelastic fluids through porous media. It describes that viscoelasticity exhibits both viscous and elastic properties, which can be modelled by combining laws of viscous fluids and elastic solids. The Upper Convected Maxwell and Oldroyd-B models are presented as approaches to model viscoelastic behaviour. The challenges of modelling viscoelastic fluid flow through porous networks are outlined, requiring iterative solutions to determine pressure fields. The Tardy-Anderson algorithm is described as a method that discretizes capillaries and iteratively solves for pressure drops and flow rates.
The physical meaning of term Ax Ay(pv,)l, in Eq. 3.1-2 is the net rate of mass efflux per unit volume. The physical meaning of (V.pv) is the divergence of pv, which is the mass flux. The divergence has a simple meaning as the net rate of mass efflux per unit volume. A very important special form of the equation of continuity is for an incompressible fluid, where the divergence of the velocity (V.v) is equal to 0, meaning no change in density.
This document summarizes a numerical study of single-phase and two-phase flow through sudden contractions in mini channels. Two-phase computational fluid dynamics simulations using an Eulerian-Eulerian model were performed to calculate pressure drop across contractions for water, air, and air-water mixtures. The pressure drop was determined by extrapolating pressure profiles upstream and downstream. Results were validated against experimental data and used to develop a correlation for two-phase pressure drop due to contraction.
Gas-Particulate Models of Flow through Porous StructuresIJERA Editor
A recently developed general model of gas-particulate flow is sub-classified in this work. The model takes into
account both the Darcy resistance and the Forchheimer effects, and is valid for variable particle number density
and flow through variable porosity media. The form of governing equations is discussed when the particle
relaxation time is small.
This document summarizes an experimental study on the evolution of turbulent patches in dilute polymer solutions. Key findings include:
1) Polymer solutions resulted in a smoother turbulent/non-turbulent interface compared to water, with lower flow length scales and consistently lower entrainment rates.
2) Inside the turbulent patches, polymer solutions exhibited higher kinetic energy densities compared to water.
3) Future work is planned using 3D particle tracking velocimetry to further validate results and provide more insight into the interface dynamics.
This document contains a 10 question quiz about reservoir induced seismicity for a geology course. The quiz contains 8 true/false questions about concepts like how gas/oil extraction increases pore pressure and affects fault strength. It also contains 2 short answer questions, one asking what could be suggested to control induced seismicity in reservoirs, and another asking about Byerlee's Law.
This document contains a quiz on reservoir induced seismicity with 10 multiple choice and short answer questions. The questions cover topics like foreshocks, types of seismicity including volcanic and reservoir, factors that influence frictional stress and fault slip like pore pressure, causes of reservoir triggered seismicity, sources of human caused seismicity, earthquake swarms, seismicity rate, Omori Law, and suggestions for improving earthquake safety of dams.
Commissioning of a 10 mld wwtp with flat sheet mbr technology the arenales de...WALEBUBLÉ
The authors are grateful to Professor Simon Judd & Claire Judd for the opportunity to publish this article on their renowned MBR-focused web page (www.thembrsite.com).
Steve Major: Finally…an Engineer’s Perspective: 9 MBRs and Countingovivombr
The Dyer Partnership designed the first Ovivo®MBR System in the United States. The Bandon Dunes facility is still in operation today and has nearly 100% of the original membranes installed. After many successful installations it appears that cost and complexity started to increase. Now, with the help of new innovations, MBR technology is not only Best Available Treatment it is also cost competitive with conventional WWT.
GRAD STUDENT SYMPOSIUM WWTP mass balance poster Sam 3-3-15 30x45Sam Supowit
- Conventional wastewater treatment is not efficient at removing fiproles like fipronil, with total fiprole levels remaining similar between influent and effluent.
- Fipronil is reduced by about 25% during treatment, while its metabolite fipronil sulfone forms, likely in aerobic reactors.
- Total fiprole levels re-entering the environment from wastewater treatment effluent are toxicologically relevant and may impact aquatic life.
Starting with a range of headworks options and ending with membrane - based solids management, each Ovivo MBR is an integrated, total solution to a wastewater treatment problem or reuse opportunity.
The document provides an overview of the tube and pipe market including:
1) Global tube production has grown faster than steel production in the last decade reaching 151Mt in 2012, with China accounting for half of global output.
2) Oil and gas related tubular products make up 30% of the tube market, with OCTG being the largest segment at 12% of the total.
3) The US is the largest OCTG market worldwide due to its acceptance of welded ERW pipes, with shipments recovering to over 7Mt in 2012 driven by shale drilling.
microBLOX™ Membrane Bioreactor (MBR) systems are fully functional solutions to wastewater treatment problems and are ideally suited to a wide range of applications. microBLOX™ technology was designed and engineered to be extremely simple to operate and optimize. The process uses one set of blowers to provide mixing, air scouring and process oxygen. For higher strength waste, concentrated oxygen can be efficiently added to the process on an as needed basis. Each system can be guaranteed to meet the most stringent nutrient limits and online monitoring is available for ammonia, nitrates and phosphorus in the effluent.
MBR basics have not changed in the last 10 years but the industry landscape is nearly unrecognizable. With so many manufacturers flooding the market what will 2025 look like?
The Advanced Reservoir Engineering Course course addresses modern practical aspects of Reservoir Engineering during 5-days packed with 7 hours of lectures, classroom exercises, discussions and literature reviews.
At the end of the Advanced Course participants will have a deeper knowledge of modern reservoir engineering principles and practices for reservoir development and production, including the estimation of oil and gas reserves. They will also have an awareness of the construction and use of reservoir models.
This course is intended for staff that have had prior exposure to exploration and production activities. Target categories of staff include Production and Reservoir Engineers, Petrophysicists, Geologists and Engineers involved with exploration and development of oil and gas reservoirs. The course is also useful for Petroleum Engineering team leaders, Production staff, IT staff and support staff working with Reservoir Engineering and development and production. Reservoir Engineers with a few years practical experience and Petroleum Engineers and Geoscientists that require more than general knowledge of reservoir engineering.
Participant’s understanding of fundamental concepts and modern practical reservoir engineering methods will be deepened and a wide range of topics is addressed.
Course topics include detailed treatment of PVT, oil and gas material balance methods, well modelling and well testing, SPE and SEC reserves estimation, displacement theory, reservoir and simulation modeling, fractured reservoirs, decline curve analysis, field development planning and production forecasting.
This document provides information about reservoir engineering executive recruitment and representing reservoir engineers for oil and gas exploration and production companies. It notes that they can meet both short and long-term needs, and encourages contacting Dave Bradshaw, the reservoir engineering search director, to discuss opportunities.
This document outlines various methods for predicting the inflow performance relationship (IPR) for vertical and horizontal oil wells. It discusses Vogel's, Wiggins', Standing's, and Fetkovich's methods for predicting the IPR and future IPR of vertical wells based on reservoir pressure decline. It also covers horizontal well advantages, drainage area calculations, and approaches for modeling steady-state and pseudosteady-state flow performance of horizontal wells. The document provides step-by-step explanations of each IPR prediction technique.
- Reservoirs are classified based on the composition of hydrocarbons present, initial reservoir pressure and temperature, and the pressure and temperature of produced fluids.
- A pressure-temperature diagram is used to classify reservoirs and describe the phase behavior of reservoir fluids, delineating the liquid, gas, and two-phase regions.
- Based on the diagram, reservoirs are classified as oil reservoirs if the temperature is below the critical temperature, and gas reservoirs if above the critical temperature.
Starting with a range of headworks options and ending with membrane-based solids management, each Ovivo MBR
can be an integrated, total solution to a wastewater treatment problem or reuse opportunity.
This document discusses non-Newtonian fluid flow in porous media. It describes three types of non-Newtonian fluid behavior and introduces the Herschel model. It also discusses using a pore network model to simulate non-Newtonian fluid flow, which involves obtaining a 3D image of the pore space, building a topologically equivalent network, and iteratively solving for the pressure field and fluid viscosity. Experimental results are presented from two studies measuring flow of Bingham fluids and crude oils through packed beds. Future work is proposed to model viscoelasticity, adsorption effects, and two-phase flow with non-Newtonian fluids.
This document outlines pore-scale modelling of non-Newtonian flow in porous media. It defines Newtonian and non-Newtonian fluids, and describes various rheological models including time-independent, viscoelastic, and time-dependent behaviors. Methods for modelling flow in porous networks include combining pore space descriptions with fluid rheology models. Results show good agreement between models and experiments for some fluids like Ellis fluids, but mixed results for Herschel-Bulkley fluids due to experimental errors and yield stress approximations. Network models are dependent on pore structure details for yield stress fluids.
This document discusses modeling viscoelastic flow in porous media. It first describes linear and non-linear viscoelasticity models under small and large deformations. It then discusses continuum and pore-scale approaches to modeling viscoelastic flow, noting advantages and disadvantages of each. Numerical methods like finite element and network modeling are presented as ways to solve the governing equations. Network modeling involves discretizing time and simulating flow using a time-independent network model that accounts for past history through effective local time-dependent viscosity.
recognize double porosity system from well testsMrRateeb
This document discusses methods for recognizing double porosity systems from well test data. It defines double porosity as a medium with high permeability fractures and low permeability porous matrix. Well tests can indicate multiple flow media. The double porosity model describes behavior with two interacting porous zones. Pressure or rate logs analyzed by conventional, log-log, and pressure derivative plots can identify double porosity behavior by showing two linear regions, an S-shape curve, or a distinctive pressure derivative minimum, respectively. Pressure derivatives are the most reliable identification method when data quality allows.
Engineering project non newtonian flow back stepJohnaton McAdam
This document describes a numerical simulation of non-Newtonian fluid flow over a backward-facing step using two viscosity models: the power law model and Carreau model. The incompressible Navier-Stokes equations are solved using finite element analysis in MATLAB. Boundary conditions of no-slip walls and zero traction at the outlet are applied. Simulation results at different inlet velocities show shear thinning and thickening behavior for both models. The Carreau model is found to better handle very low or high shear rates compared to the power law model.
This document contains a 10 question quiz about reservoir induced seismicity for a geology course. The quiz contains 8 true/false questions about concepts like how gas/oil extraction increases pore pressure and affects fault strength. It also contains 2 short answer questions, one asking what could be suggested to control induced seismicity in reservoirs, and another asking about Byerlee's Law.
This document contains a quiz on reservoir induced seismicity with 10 multiple choice and short answer questions. The questions cover topics like foreshocks, types of seismicity including volcanic and reservoir, factors that influence frictional stress and fault slip like pore pressure, causes of reservoir triggered seismicity, sources of human caused seismicity, earthquake swarms, seismicity rate, Omori Law, and suggestions for improving earthquake safety of dams.
Commissioning of a 10 mld wwtp with flat sheet mbr technology the arenales de...WALEBUBLÉ
The authors are grateful to Professor Simon Judd & Claire Judd for the opportunity to publish this article on their renowned MBR-focused web page (www.thembrsite.com).
Steve Major: Finally…an Engineer’s Perspective: 9 MBRs and Countingovivombr
The Dyer Partnership designed the first Ovivo®MBR System in the United States. The Bandon Dunes facility is still in operation today and has nearly 100% of the original membranes installed. After many successful installations it appears that cost and complexity started to increase. Now, with the help of new innovations, MBR technology is not only Best Available Treatment it is also cost competitive with conventional WWT.
GRAD STUDENT SYMPOSIUM WWTP mass balance poster Sam 3-3-15 30x45Sam Supowit
- Conventional wastewater treatment is not efficient at removing fiproles like fipronil, with total fiprole levels remaining similar between influent and effluent.
- Fipronil is reduced by about 25% during treatment, while its metabolite fipronil sulfone forms, likely in aerobic reactors.
- Total fiprole levels re-entering the environment from wastewater treatment effluent are toxicologically relevant and may impact aquatic life.
Starting with a range of headworks options and ending with membrane - based solids management, each Ovivo MBR is an integrated, total solution to a wastewater treatment problem or reuse opportunity.
The document provides an overview of the tube and pipe market including:
1) Global tube production has grown faster than steel production in the last decade reaching 151Mt in 2012, with China accounting for half of global output.
2) Oil and gas related tubular products make up 30% of the tube market, with OCTG being the largest segment at 12% of the total.
3) The US is the largest OCTG market worldwide due to its acceptance of welded ERW pipes, with shipments recovering to over 7Mt in 2012 driven by shale drilling.
microBLOX™ Membrane Bioreactor (MBR) systems are fully functional solutions to wastewater treatment problems and are ideally suited to a wide range of applications. microBLOX™ technology was designed and engineered to be extremely simple to operate and optimize. The process uses one set of blowers to provide mixing, air scouring and process oxygen. For higher strength waste, concentrated oxygen can be efficiently added to the process on an as needed basis. Each system can be guaranteed to meet the most stringent nutrient limits and online monitoring is available for ammonia, nitrates and phosphorus in the effluent.
MBR basics have not changed in the last 10 years but the industry landscape is nearly unrecognizable. With so many manufacturers flooding the market what will 2025 look like?
The Advanced Reservoir Engineering Course course addresses modern practical aspects of Reservoir Engineering during 5-days packed with 7 hours of lectures, classroom exercises, discussions and literature reviews.
At the end of the Advanced Course participants will have a deeper knowledge of modern reservoir engineering principles and practices for reservoir development and production, including the estimation of oil and gas reserves. They will also have an awareness of the construction and use of reservoir models.
This course is intended for staff that have had prior exposure to exploration and production activities. Target categories of staff include Production and Reservoir Engineers, Petrophysicists, Geologists and Engineers involved with exploration and development of oil and gas reservoirs. The course is also useful for Petroleum Engineering team leaders, Production staff, IT staff and support staff working with Reservoir Engineering and development and production. Reservoir Engineers with a few years practical experience and Petroleum Engineers and Geoscientists that require more than general knowledge of reservoir engineering.
Participant’s understanding of fundamental concepts and modern practical reservoir engineering methods will be deepened and a wide range of topics is addressed.
Course topics include detailed treatment of PVT, oil and gas material balance methods, well modelling and well testing, SPE and SEC reserves estimation, displacement theory, reservoir and simulation modeling, fractured reservoirs, decline curve analysis, field development planning and production forecasting.
This document provides information about reservoir engineering executive recruitment and representing reservoir engineers for oil and gas exploration and production companies. It notes that they can meet both short and long-term needs, and encourages contacting Dave Bradshaw, the reservoir engineering search director, to discuss opportunities.
This document outlines various methods for predicting the inflow performance relationship (IPR) for vertical and horizontal oil wells. It discusses Vogel's, Wiggins', Standing's, and Fetkovich's methods for predicting the IPR and future IPR of vertical wells based on reservoir pressure decline. It also covers horizontal well advantages, drainage area calculations, and approaches for modeling steady-state and pseudosteady-state flow performance of horizontal wells. The document provides step-by-step explanations of each IPR prediction technique.
- Reservoirs are classified based on the composition of hydrocarbons present, initial reservoir pressure and temperature, and the pressure and temperature of produced fluids.
- A pressure-temperature diagram is used to classify reservoirs and describe the phase behavior of reservoir fluids, delineating the liquid, gas, and two-phase regions.
- Based on the diagram, reservoirs are classified as oil reservoirs if the temperature is below the critical temperature, and gas reservoirs if above the critical temperature.
Starting with a range of headworks options and ending with membrane-based solids management, each Ovivo MBR
can be an integrated, total solution to a wastewater treatment problem or reuse opportunity.
This document discusses non-Newtonian fluid flow in porous media. It describes three types of non-Newtonian fluid behavior and introduces the Herschel model. It also discusses using a pore network model to simulate non-Newtonian fluid flow, which involves obtaining a 3D image of the pore space, building a topologically equivalent network, and iteratively solving for the pressure field and fluid viscosity. Experimental results are presented from two studies measuring flow of Bingham fluids and crude oils through packed beds. Future work is proposed to model viscoelasticity, adsorption effects, and two-phase flow with non-Newtonian fluids.
This document outlines pore-scale modelling of non-Newtonian flow in porous media. It defines Newtonian and non-Newtonian fluids, and describes various rheological models including time-independent, viscoelastic, and time-dependent behaviors. Methods for modelling flow in porous networks include combining pore space descriptions with fluid rheology models. Results show good agreement between models and experiments for some fluids like Ellis fluids, but mixed results for Herschel-Bulkley fluids due to experimental errors and yield stress approximations. Network models are dependent on pore structure details for yield stress fluids.
This document discusses modeling viscoelastic flow in porous media. It first describes linear and non-linear viscoelasticity models under small and large deformations. It then discusses continuum and pore-scale approaches to modeling viscoelastic flow, noting advantages and disadvantages of each. Numerical methods like finite element and network modeling are presented as ways to solve the governing equations. Network modeling involves discretizing time and simulating flow using a time-independent network model that accounts for past history through effective local time-dependent viscosity.
recognize double porosity system from well testsMrRateeb
This document discusses methods for recognizing double porosity systems from well test data. It defines double porosity as a medium with high permeability fractures and low permeability porous matrix. Well tests can indicate multiple flow media. The double porosity model describes behavior with two interacting porous zones. Pressure or rate logs analyzed by conventional, log-log, and pressure derivative plots can identify double porosity behavior by showing two linear regions, an S-shape curve, or a distinctive pressure derivative minimum, respectively. Pressure derivatives are the most reliable identification method when data quality allows.
Engineering project non newtonian flow back stepJohnaton McAdam
This document describes a numerical simulation of non-Newtonian fluid flow over a backward-facing step using two viscosity models: the power law model and Carreau model. The incompressible Navier-Stokes equations are solved using finite element analysis in MATLAB. Boundary conditions of no-slip walls and zero traction at the outlet are applied. Simulation results at different inlet velocities show shear thinning and thickening behavior for both models. The Carreau model is found to better handle very low or high shear rates compared to the power law model.
This presentation gives a brief introduction to the concept of coupled CFD-DEM Modeling.
Link to file: https://drive.google.com/open?id=1nO2n49BwhzBtT6NnvpxADG5WsC9uMJ-i
This document discusses rheology, which is defined as the science dealing with the flow and deformation of materials under stress. It provides definitions of key rheological terms like viscosity and describes different flow patterns such as Newtonian, plastic, pseudoplastic and dilatant flow. Specific techniques for determining viscosity are outlined, including capillary viscometry, falling sphere viscometry, cup and bob viscometry, and cone and plate viscometry.
Rheology is the study of deformation and flow of matter. There are several types of rheological properties including stress, viscosity, viscoelastic modulus, creep, and relaxation times. Rheology is important in manufacturing pharmaceutical dosage forms and applications like ointments, syrups, suspensions, and emulsions where rheological properties influence acceptability, bioavailability, and handling. Materials can exhibit Newtonian, plastic, pseudo-plastic, or dilatant flow depending on the relationship between shear stress and shear rate. Viscometers are used to determine viscosity and classify fluids as Newtonian or non-Newtonian.
This document discusses rheology and the importance of understanding flow properties in pharmaceutical manufacturing and product administration. It defines rheology as the study of flow and deformation of matter under stress. The document covers various types of fluid flow including Newtonian, plastic, pseudoplastic and dilatant. It also discusses thixotropy and measurement of viscosity using single point viscometers like Ostwald and falling sphere, as well as multi-point viscometers like cup and bob and cone and plate. Understanding rheology is important for developing dosage forms and ensuring their proper handling and administration.
Advances in Rock Physics Modelling and Improved Estimation of CO2 Saturation, Giorgos Papageorgiou - Geophysical Modelling for CO2 Storage, Leeds, 3 November 2015
1) The document discusses fluid kinematics, which deals with the motion of fluids without considering the forces that create motion. It covers topics like velocity fields, acceleration fields, control volumes, and flow visualization techniques.
2) There are two main descriptions of fluid motion - Lagrangian, which follows individual particles, and Eulerian, which observes the flow at fixed points in space. Most practical analysis uses the Eulerian description.
3) The Reynolds Transport Theorem allows equations written for a fluid system to be applied to a fixed control volume, which is useful for analyzing forces on objects in a flow. It relates the time rate of change of an extensive property within the control volume to surface fluxes and the property accumulation.
This document discusses time dependent mechanical properties, including viscosity, viscoelasticity, and fatigue. Viscosity is defined as the resistance of a fluid to flow and is important for processes like metal casting. Viscoelasticity describes materials that exhibit both elastic and viscous properties, as seen in creep and stress relaxation behaviors. Fatigue refers to material failure from repeated loading below the yield strength and depends on factors like the load magnitude and number of cycles. These time dependent properties are important for applications in dentistry involving processes like impression making and long-term performance of restorations.
1. The document describes an experiment conducted to determine the rheological properties of viscosity and yield point of a drilling fluid sample using a Fann viscometer.
2. Key aspects of the experiment included preparing the mud sample, measuring its viscosity at 300 and 600 RPM, and determining its plastic viscosity and apparent viscosity. Calibration of the Marsh funnel and factors affecting rheological properties are also discussed.
3. Sources of potential error in measuring viscosity are described, such as improper mud weight, excess or insufficient fluid, and improper reading of the measuring scale.
The document discusses a presentation on flow pattern, contacting, and non-ideal flow. It notes that three interrelated factors determine flow pattern: 1) residence time distribution, 2) state of aggregation of flowing material, and 3) earliness and lateness of mixing. It provides examples of how non-ideal flow can occur and deviations from plug and mixed flow. Figures are included to illustrate concepts like residence time distribution, macro and microfluid behavior, and early versus late mixing. The contents are intended solely for educational purposes for students under special COVID-19 circumstances.
This document discusses an experimental investigation of different types of notches used to measure flow rate. Triangular and rectangular notches were tested to determine which provides more accurate measurements of discharge coefficient at varying flow rates. The experimental results showed that notch geometry significantly affects the discharge coefficient. For smaller flows, multiple narrower triangular notches were found to be more precise than a single wide rectangular notch.
CFD Lecture (8/8): CFD in Chemical SystemsAbhishek Jain
Above lecture can be downloaded from www.zeusnumerix.com
The presentation aims at explaining to the user the simulations that happen in the chemical industry. These simulations are characterized by the chemical reactions, mixing of fluids, particle flow etc. The standard NS equations requirement introduction of source terms and special methods for CFD simulations and these have been introduced.
Spin coating is a process that uses centrifugal force to spread a liquid solution evenly and produce a thin film of uniform thickness on a surface. It has various applications in industries like microelectronics. A simple model of spin coating was developed based on assumptions of laminar, axisymmetric flow. This model derived an equation showing film thickness decreases over time according to fluid properties like viscosity and spin speed. Further work aims to model non-Newtonian fluid spin coating and experimentally validate the models.
This document discusses rheology and viscosity measurement techniques. It covers key topics like:
1) Newtonian and non-Newtonian flow, including plastic, pseudoplastic and dilatant systems.
2) Measurement of viscosity using viscometers like capillary, falling sphere and rotational viscometers.
3) Phenomena like thixotropy, antithixotropy and their significance in formulations.
The document provides an overview of important rheological concepts and methods to characterize the flow behavior and viscosity of formulations.
The document summarizes collision strength calculations for transitions between the lowest energy levels of O2+. It presents results from both the Independent Collision Folding Time (ICFT) and Breit-Pauli (BP) methods using scattering targets of increasing size, from 9 configurations up to 72 configurations. Tables compare the effective collision strengths to previous works and show good agreement and convergence as the target size increases.
Energy dispersive x-ray diffraction (EDD) uses a fixed-angle detector to measure diffracted x-rays by energy rather than angle. This allows analysis of bulk samples without movement but with some resolution and overlap limitations. New pixelated detectors may help overcome these issues. Tomographic EDD can provide 3D imaging of density and composition within samples. The document discusses EDD applications and the author's related work developing computational techniques and an analysis program for EDD data collection and processing.
The document summarizes research investigating the flow of yield stress fluids in porous media. It describes difficulties in measuring yield stress values and modeling complex pore spaces. The researchers developed a network model that simulates yield as occurring through a spanning path connecting inlet to outlet. They found experimental validation of the model and investigated whether yield follows percolation phenomena. Two methods, Invasion Percolation with Memory and Path of Minimum Pressure, were developed to predict threshold yield pressure and were found to generally agree, with some limitations noted regarding assumptions about serially connected bonds. Even accounting for bottlenecks and tortuosity, the network threshold may not be precisely predicted due to dynamic pressure field aspects in the flowing network.
This document discusses theoretical atomic and molecular physics research being conducted on recombination lines in nebulae spectra. The research group is investigating two recombination processes, radiative and dielectronic recombination, using atomic structure and R-matrix codes. They are studying carbon and magnesium ions to analyze planetary nebulae and draw conclusions about nebula conditions and compositions.
Sochi hexitex manchester 10 dec 2008 presentationTaha Sochi
The document describes EasyEDD, a software for processing powder diffraction data from tomographic energy-dispersive diffraction (TEDDI) experiments. EasyEDD allows batch processing of large quantities of TEDDI data through a graphical user interface. It supports common data formats and provides tools for data correction, visualization as color-coded grids, fitting of diffraction patterns, and analysis of results. The software combines these capabilities into an integrated environment to facilitate the analysis of data from high throughput TEDDI detectors.
The document describes EasyEDD, a software for analyzing tomographic electron diffraction data (TEDDI) obtained from synchrotron sources. EasyEDD allows batch processing and visualization of large diffraction data sets. It stores data in a 3D grid format and includes tools for corrections, fitting, visualization and exporting results. The software combines a graphical user interface with algorithms for numerical analysis. Current functionality and future improvements are outlined.
EasyED is a high throughput software that processes, analyzes, and visualizes powder diffraction data. It allows users to process large quantities of data with ease using graphical user interfaces combined with scientific computing techniques. EasyED currently supports curve fitting capabilities and 4 data file formats, with future plans to add more functionality like restraints, whole pattern decomposition, and 3D data mapping.
The document discusses EasyEDD, a software for processing and analyzing synchrotron diffraction data obtained via tomographic imaging technique TEDDI. EasyEDD allows managing, processing, analyzing and visualizing large quantities of synchrotron data with ease using graphical interface and scientific computing techniques. It reads and stores 3D diffraction data, performs corrections, fitting and visualization. Future work includes 3D mapping of data, more scientific functionality, Le Bail refinement and validation with experiments.
This document describes Easy EDD, a software for analyzing synchrotron electron diffraction data (EDD) obtained using tomographic electron diffraction (TEDDI). Easy EDD allows users to manage, process, analyze and visualize large quantities of EDD data with a graphical user interface. It reads EDD file formats, stores data in a 3D voxel structure, maps data to 2D color-coded grids, and allows curve fitting and refinement of diffraction patterns from individual voxels. Future development of Easy EDD includes 3D visualization and additional analysis capabilities.
This document describes Easy EDD software, which was created to analyze and visualize synchrotron electron diffraction data (EDD) obtained from tomographic imaging electron diffraction (TEDDI) experiments. The software allows for processing large quantities of EDD data with a graphical user interface and includes capabilities for reading data files, corrections, visualization, fitting, and refinement. Current functionality includes reading SRS data files, mapping data to a color-coded grid, 2D plotting of voxel intensities, and fitting curves. Future development may include 3D mapping and visualization, additional corrections and analysis, and other refinement techniques.
Tomographic electron diffraction (TEDD) is a technique that uses synchrotron radiation to obtain diffraction patterns from volume elements within a bulk sample to image the interior in terms of density and composition. Currently, scripts are used for TEDD analysis including reading data, corrections, and exporting to programs like Rietica/Topas for fitting. Easy EDD is software being developed to manage, process, analyze, and visualize large quantities of synchrotron electron diffraction (EDD) data with a graphical user interface and algorithms. It reads and maps data files on a 2D grid and provides tools for visualizing and processing individual cells. Future development includes 3D mapping, more analysis functions, importing/exporting, and implementing
This document summarizes research on modeling the flow of Herschel fluids in porous media. It discusses using the Herschel model to describe non-Newtonian fluids and presents results showing how fluid yield stress affects flow patterns in Berea and sandstone networks. It also compares network and single tube models, validates the network model using experimental data, and discusses incorporating additional physics into future models like viscoelasticity and two-phase flow.
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Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
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Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
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1. Modelling the Flow of non-NewtonianModelling the Flow of non-Newtonian
Fluids in Porous MediaFluids in Porous Media
Imperial College London & Schlumberger Research CentreImperial College London & Schlumberger Research Centre
Taha Sochi & Martin BluntTaha Sochi & Martin Blunt
3. NewtonianNewtonian:: stress is proportional to strain rate:stress is proportional to strain rate:
τ ∝ γτ ∝ γ
Non-NewtonianNon-Newtonian: this condition is not satisfied.: this condition is not satisfied.
Three groups of behaviour:Three groups of behaviour:
1. Time-independent: strain rate solely depends on1. Time-independent: strain rate solely depends on
instantaneous stress.instantaneous stress.
2. Time-dependent: strain rate is function of both2. Time-dependent: strain rate is function of both
magnitude and duration of stress.magnitude and duration of stress.
3. Viscoelastic: shows partial elastic recovery on3. Viscoelastic: shows partial elastic recovery on
removal of deforming stress.removal of deforming stress.
8. Thixotropic vs. ViscoelasticThixotropic vs. Viscoelastic
Time-dependency of viscoelastic arisesTime-dependency of viscoelastic arises
because response is not instantaneous.because response is not instantaneous.
Time-dependent behaviour of thixotropicTime-dependent behaviour of thixotropic
arises because of change in structure.arises because of change in structure.
10. Network ModellingNetwork Modelling
Obtain 3-dimensional image of the pore space.Obtain 3-dimensional image of the pore space.
Build a topologically-equivalent network.Build a topologically-equivalent network.
Account for non-circularity, when calculatingAccount for non-circularity, when calculating QQ
from analytical expression for cylinder, by usingfrom analytical expression for cylinder, by using
equivalent radius:equivalent radius:
4/1
8
=
π
G
Req
where the conductance,where the conductance, GG, is found empirically, is found empirically
from numerical simulation.from numerical simulation.
11. Start with initial guess for effective viscosity, andStart with initial guess for effective viscosity, and
hence solve the pressure field.hence solve the pressure field.
Flow SimulationFlow Simulation
Update effective viscosity using analyticalUpdate effective viscosity using analytical
expression with pseudo-Poiseuille definition.expression with pseudo-Poiseuille definition.
Obtain total flow rate & apparent viscosity.Obtain total flow rate & apparent viscosity.
Iterate until convergence is achieved whenIterate until convergence is achieved when
specified tolerance error in totalspecified tolerance error in total QQ between twobetween two
consecutive iteration cycles is reached.consecutive iteration cycles is reached.
13. Combine the pore space description of theCombine the pore space description of the
medium with the bulk rheology of the fluid.medium with the bulk rheology of the fluid.
The bulk rheology is used to derive analyticalThe bulk rheology is used to derive analytical
expression for the flow in simplified poreexpression for the flow in simplified pore
geometry.geometry.
Examples: Herschel-Bulkley & Ellis models.Examples: Herschel-Bulkley & Ellis models.
Network Modelling StrategyNetwork Modelling Strategy
14. This is a general time-independent modelThis is a general time-independent model
ττ StressStress
ττοο Yield stressYield stress
CC Consistency factorConsistency factor
γγ Strain rateStrain rate
nn Flow behaviour indexFlow behaviour index
Herschel-BulkleyHerschel-Bulkley
n
o
Cγττ +=
15.
16. This is a shear-thinning modelThis is a shear-thinning model
ττ StressStress
µµοο Zero-shear viscosityZero-shear viscosity
γγ Strain rateStrain rate
ττ1/21/2 Stress atStress at µµοο / 2/ 2
αα Indicial parameterIndicial parameter
EllisEllis
1
21
1
−
+
= α
/
o
τ
τ
γμ
τ
19. There are three major cases:There are three major cases:
1. Flow of strongly shear-dependent fluid in1. Flow of strongly shear-dependent fluid in
medium which is not very homogeneous:medium which is not very homogeneous:
Network Modelling StrategyNetwork Modelling Strategy
a. Difficult to track fluid elements in pores anda. Difficult to track fluid elements in pores and
determine their deformation history.determine their deformation history.
b. Mixing of fluid elements with variousb. Mixing of fluid elements with various
deformation history in individual pores.deformation history in individual pores.
Very difficult to model because:Very difficult to model because:
20. 2. Flow of shear-independent or weakly shear-2. Flow of shear-independent or weakly shear-
dependent fluid in porous medium:dependent fluid in porous medium:
Network Modelling StrategyNetwork Modelling Strategy
Apply single time-dependent viscosity functionApply single time-dependent viscosity function
to all pores at each instant of time and henceto all pores at each instant of time and hence
simulate time development.simulate time development.
21. 3. Flow of strongly shear-dependent fluid in very3. Flow of strongly shear-dependent fluid in very
homogeneous porous medium:homogeneous porous medium:
Network Modelling StrategyNetwork Modelling Strategy
a. Define effective pore shear rate.a. Define effective pore shear rate.
b. Use very small time step to find viscosity inb. Use very small time step to find viscosity in
the next instant assuming constant shear.the next instant assuming constant shear.
c. Find change in shear and hence makec. Find change in shear and hence make
correction to viscosity.correction to viscosity.
Possible problems: edge effects in case ofPossible problems: edge effects in case of
injection from reservoir & long CPU time.injection from reservoir & long CPU time.
22. GodfreyGodfrey
This is suggested as a thixotropic modelThis is suggested as a thixotropic model
)1(
)1()(
''
'
/''
/'
λ
λ
µ
µµµ
t
t
i
e
et
−
−
−∆−
−∆−=
µµ ViscosityViscosity
tt Time of shearingTime of shearing
µµii Initial-time viscosityInitial-time viscosity
∆∆µµ’’ && ∆∆µµ’’’’ Viscosity deficits associatedViscosity deficits associated
with time constantswith time constants λλ’’ && λλ’’’’
23. Stretched Exponential ModelStretched Exponential Model
This is a general time-dependent modelThis is a general time-dependent model
)1)(()( / st
iini
et λ
µµµµ −
−−+=
µµ ViscosityViscosity
tt Time of shearingTime of shearing
µµii Initial-time viscosityInitial-time viscosity
µµinin Infinite-time viscosityInfinite-time viscosity
λλss Time constantTime constant
25. There are mainly two effects to model:There are mainly two effects to model:
Network Modelling StrategyNetwork Modelling Strategy
1. Time dependency:1. Time dependency:
Apply the same strategy as in the case ofApply the same strategy as in the case of
time-dependent fluid after modelling thetime-dependent fluid after modelling the
transient state.transient state.
26. Network Modelling StrategyNetwork Modelling Strategy
2. Thickening at high flow rate:2. Thickening at high flow rate:
As the flow in porous media is mixed shear-As the flow in porous media is mixed shear-
extension flow due mainly to convergence-extension flow due mainly to convergence-
divergence, with the contribution of eachdivergence, with the contribution of each
component being unquantified and highlycomponent being unquantified and highly
dependent on pores actual shape, it is difficultdependent on pores actual shape, it is difficult
to predict the share of each especially whento predict the share of each especially when
the pore space description is approximate.the pore space description is approximate.
One possibility is to use average behaviour,One possibility is to use average behaviour,
depending on porous medium, to find thedepending on porous medium, to find the
contribution of each as a function of flow rate.contribution of each as a function of flow rate.
27. Upper Convected MaxwellUpper Convected Maxwell
This is the simplest and apparently theThis is the simplest and apparently the
second most popular modelsecond most popular model
ττ Stress tensorStress tensor
λλ11 Relaxation timeRelaxation time
µµοο Low-shear viscosityLow-shear viscosity
γγ Rate-of-strain tensorRate-of-strain tensor
γττ o
µλ −=+
∇
1
28. Oldroyd-BOldroyd-B
ττ Stress tensorStress tensor
λλ11 Relaxation timeRelaxation time
λλ22 Retardation timeRetardation time
µµοο Low-shear viscosityLow-shear viscosity
γγ Rate-of-strain tensorRate-of-strain tensor
+−=+
∇∇
γγττ 21
λµλ o
This is the second in simplicity andThis is the second in simplicity and
apparently the most popular modelapparently the most popular model
29. Discussion
Time-independent: good results for Ellis and
mixed results for Herschel-Bulkley. The main
reason is apparently yield stress.
Time-dependent: strategy developed for
modelling some cases of time-dependency.
Viscoelastic: strategy to be developed for
modelling time-dependency and thickening at
high flow rates in porous media.
30. Future WorkFuture Work
Implementation of time-dependentImplementation of time-dependent
strategystrategy
Possible implementation of viscoelasticPossible implementation of viscoelastic
effects.effects.
35. Herschel-Bulkley
το C n Herschel parameters
L Tube length
∆P Pressure difference
τw ∆PR/2L Where R is the tube radius
( )
+
+
+
−
+
+
−
−
∆
=
+
nnnP
L
C
Q oowoow
own
n
/11/12
)(2
/13
)(8
223
/1
11 ττττττ
ττ
π
36. Newtonian: το = 0 n = 1
Power law: το = 0 n ≠ 1
LC
PR
Q
8
. 4
∆
=
π
Bingham: το ≠ 0 n = 1
n
n
P
LC
R
Q
L
R
n
n
n
1
11
213
4
/1
4
8
.
∆
=
−
+
π
+
−
∆
=
4
4
3
1
3
4
1
8
.
w
o
w
o
LC
PR
Q
τ
τ
τ
τπ
39. Convergence
Usually converges quickly (<10 iterations).
Algebraic multi-grid solver is used.
Could fail to converge due to non-linearity.
Convergence failure is usually in the form of
oscillation between 2 values.
Sometimes, it is slow convergence rather than
failure, e.g. convergence observed after several
hundred iterations.
40. To help convergence:
1. Increase the number of iterations.
2. Initialise viscosity vector with single value.
3. Scan fine pressure-line.
4. Adjust the size of solver arrays.
41. Testing the Code
1. Newtonian & Bingham quantitatively verified.
3. All results are qualitatively reasonable:
2. Comparison with previous code gives
similar results.
Editor's Notes
The important one, from a causal standpoint, is that, while the time-dependent behaviour of
viscoelastic fluids arises because the response of stresses and strains in the fluid to changes
in imposed strains and stresses respectively is not instantaneous, in a thixotropic fluid such
response is instantaneous and the time-dependent behaviour arises purely because of
changes in the structure of the fluid as a result of shear.
If injection from reservoir, assume large medium to avoid edge effect
-Mention to the papers waiting processing
-Two different derivations. tau-_w is half pressure gradient times radius (used to simplify the expression)
-Each derived independently and obtained as a special case for Herschel.
- Distinguished by very fast convergence (reduction in computer time) compared with other solvers
-Drawback: require large memory. Not in our case
- Recommended 50. trade-off between convergence and computer time.
- Failure to converge in some cases if previous value used.
- For some reason it might converge at some point but not at its neighbours, e.g. 67.8Pa not 67.5 or 68
- Fail to converge if some vectors are very large.
- non-Newtonian solver flow results compared with Newtonian plus constant viscosity
-High-Pressure plateau for Bingham.
- Shape of curve, curvature, blocking & yield values