This document discusses lost circulation, which occurs when drilling fluid is lost to the formation instead of returning to the surface. It defines lost circulation zones and classifications ranging from seepage to total losses. Causes include fractured formations and exceeding the fracture gradient. Prevention methods are outlined such as using proper mud weight and lost circulation materials. Numerical examples are provided to calculate formation pressure from lost circulation incidents. Detection and remediation techniques include waiting, squeezing lost circulation materials into the zone, and surveys to locate the lost circulation zone.
This document presents the solution to a problem calculating total density using densities and volumes of water and bentonite. It shows that the total volume is 38 gallons, consisting of 25 gallons of water and 13 gallons of bentonite. It then sets up an equation where the total density multiplied by the total volume equals the sum of the water density multiplied by its volume and the bentonite density multiplied by its volume. Solving this equation yields a total density of 13.17 pounds per gallon. Contact information is provided at the end for any additional questions.
Field development plan, rate of production,SYED NAWAZ
It gives you an idea about an impact of reservoir damage on production rate
Hello Everyone,
Follow my youtube channel "PETROLEUM UNIVERSE" https://lnkd.in/gjZgb7E
For weekly brushing of basics follow me on linkedin
https://lnkd.in/dqPYkwa
Follow and Subscribe only if you like and try to circulate among your friends
in detail description of previous gate papers of petroleum engineering and some assumptions for 2021, with a brief of future steps. reference textbooks
Complete Casing Design with types of casing, casing properties, casing functions, design criteria and properties used for designing and one numerical problem
The document provides an overview of the drilling process and outlines key considerations for developing an effective drilling plan. It discusses establishing objectives, analyzing target locations and formations, selecting appropriate drilling methods and equipment, developing programs for well completion, mud usage, and more. A drilling plan, or general technical operations (GTO), serves as a blueprint that provides guidance to geologists, drillers, and mud chemists on the drilling of a well.
Surface Tension and Interfacial Tension Formula, Units and ProblemSYED NAWAZ
This document discusses reservoir engineering and provides a numerical problem example. It begins by outlining the content which includes formulas, units discussion, and a problem. The problem calculates the height to which liquid will be held given properties of an oil-water system including radius, contact angle, densities of oil and water, and interfacial tension. Relevant units are converted and the solution is shown. The document concludes by listing references on reservoir engineering and providing contact information for the author.
This document discusses lost circulation, which occurs when drilling fluid is lost to the formation instead of returning to the surface. It defines lost circulation zones and classifications ranging from seepage to total losses. Causes include fractured formations and exceeding the fracture gradient. Prevention methods are outlined such as using proper mud weight and lost circulation materials. Numerical examples are provided to calculate formation pressure from lost circulation incidents. Detection and remediation techniques include waiting, squeezing lost circulation materials into the zone, and surveys to locate the lost circulation zone.
This document presents the solution to a problem calculating total density using densities and volumes of water and bentonite. It shows that the total volume is 38 gallons, consisting of 25 gallons of water and 13 gallons of bentonite. It then sets up an equation where the total density multiplied by the total volume equals the sum of the water density multiplied by its volume and the bentonite density multiplied by its volume. Solving this equation yields a total density of 13.17 pounds per gallon. Contact information is provided at the end for any additional questions.
Field development plan, rate of production,SYED NAWAZ
It gives you an idea about an impact of reservoir damage on production rate
Hello Everyone,
Follow my youtube channel "PETROLEUM UNIVERSE" https://lnkd.in/gjZgb7E
For weekly brushing of basics follow me on linkedin
https://lnkd.in/dqPYkwa
Follow and Subscribe only if you like and try to circulate among your friends
in detail description of previous gate papers of petroleum engineering and some assumptions for 2021, with a brief of future steps. reference textbooks
Complete Casing Design with types of casing, casing properties, casing functions, design criteria and properties used for designing and one numerical problem
The document provides an overview of the drilling process and outlines key considerations for developing an effective drilling plan. It discusses establishing objectives, analyzing target locations and formations, selecting appropriate drilling methods and equipment, developing programs for well completion, mud usage, and more. A drilling plan, or general technical operations (GTO), serves as a blueprint that provides guidance to geologists, drillers, and mud chemists on the drilling of a well.
Surface Tension and Interfacial Tension Formula, Units and ProblemSYED NAWAZ
This document discusses reservoir engineering and provides a numerical problem example. It begins by outlining the content which includes formulas, units discussion, and a problem. The problem calculates the height to which liquid will be held given properties of an oil-water system including radius, contact angle, densities of oil and water, and interfacial tension. Relevant units are converted and the solution is shown. The document concludes by listing references on reservoir engineering and providing contact information for the author.
This document provides an introduction to reservoir engineering concepts including porosity, saturation, surface and interfacial tension. It defines key terms like porosity, saturation, cohesive forces, and adhesive forces. Formulas for surface tension and interfacial tension are presented and derived for gas-water and oil-water systems. A numerical example is worked through to calculate the height of liquid held in a capillary tube given properties of the oil-water system. References and contact information are provided at the end.
This document discusses petro-physical properties of reservoirs, including definitions of key concepts like fluid saturation, irreducible saturation, critical saturation, and residual saturation. It explains that saturation is defined as the percentage of pore volume occupied by a fluid (oil, gas, or water). It also provides an example of calculating average oil and water saturation for an under-saturated oil reservoir using porosity and oil saturation data from multiple samples. The document concludes by listing references for further reading on petroleum reservoir engineering topics.
it gives you an indetail information about gas formation volume factor formula, derivation, constant information, and a numerical problem for better understanding
The Reynolds number is used to identify the type of fluid flow in a pipe as either laminar or turbulent. It is a dimensionless quantity that represents the ratio of inertial forces to viscous forces. A Reynolds number below 2100 indicates laminar flow, above 4000 indicates turbulent flow, and between 2100-4000 is the critical transition region. It was first introduced by George Stokes and developed by Osborne Reynolds to characterize fluid flow and the transition between flow patterns.
Formation damage can occur through physical, chemical, and bacterial mechanisms. The formation damage process involves filter cake formation and drilling mud formulation. Formation damage sources include drilling, completion, workover, stimulation, production, and injection operations. Common damage mechanisms are particle invasion, clay swelling/dispersion, scale precipitation, and fines migration. Remedial measures include acidizing, fracturing, clay stabilization, and surfactant treatments. Proper mud system design aims to minimize invasion and filtrate loss into the formation.
This question appears in GATE Petroleum Engineering in which they have ask to calculate the skin factor and this question belongs to oil and gas well testing subject
This question appears in GATE 2016 Petroleum Engineering in which they ask us to estimate the total time required for reservoir deliver the oil and gas to the surface and obviously it's recovery factor
this question appears in GATE 2016 Petroleum Engineering in which they have ask us to calculate the input power required for a pump to deliver the required operation
this question appears in GATE Petroleum Engineering and in this we are calculating the number of stages required for pump to deliver the fluid to the required depth
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
This document provides an introduction to reservoir engineering concepts including porosity, saturation, surface and interfacial tension. It defines key terms like porosity, saturation, cohesive forces, and adhesive forces. Formulas for surface tension and interfacial tension are presented and derived for gas-water and oil-water systems. A numerical example is worked through to calculate the height of liquid held in a capillary tube given properties of the oil-water system. References and contact information are provided at the end.
This document discusses petro-physical properties of reservoirs, including definitions of key concepts like fluid saturation, irreducible saturation, critical saturation, and residual saturation. It explains that saturation is defined as the percentage of pore volume occupied by a fluid (oil, gas, or water). It also provides an example of calculating average oil and water saturation for an under-saturated oil reservoir using porosity and oil saturation data from multiple samples. The document concludes by listing references for further reading on petroleum reservoir engineering topics.
it gives you an indetail information about gas formation volume factor formula, derivation, constant information, and a numerical problem for better understanding
The Reynolds number is used to identify the type of fluid flow in a pipe as either laminar or turbulent. It is a dimensionless quantity that represents the ratio of inertial forces to viscous forces. A Reynolds number below 2100 indicates laminar flow, above 4000 indicates turbulent flow, and between 2100-4000 is the critical transition region. It was first introduced by George Stokes and developed by Osborne Reynolds to characterize fluid flow and the transition between flow patterns.
Formation damage can occur through physical, chemical, and bacterial mechanisms. The formation damage process involves filter cake formation and drilling mud formulation. Formation damage sources include drilling, completion, workover, stimulation, production, and injection operations. Common damage mechanisms are particle invasion, clay swelling/dispersion, scale precipitation, and fines migration. Remedial measures include acidizing, fracturing, clay stabilization, and surfactant treatments. Proper mud system design aims to minimize invasion and filtrate loss into the formation.
This question appears in GATE Petroleum Engineering in which they have ask to calculate the skin factor and this question belongs to oil and gas well testing subject
This question appears in GATE 2016 Petroleum Engineering in which they ask us to estimate the total time required for reservoir deliver the oil and gas to the surface and obviously it's recovery factor
this question appears in GATE 2016 Petroleum Engineering in which they have ask us to calculate the input power required for a pump to deliver the required operation
this question appears in GATE Petroleum Engineering and in this we are calculating the number of stages required for pump to deliver the fluid to the required depth
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
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.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
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%.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024