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.
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.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
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
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.
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.
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...amsjournal
The Fourth Industrial Revolution is transforming industries, including healthcare, by integrating digital,
physical, and biological technologies. This study examines the integration of 4.0 technologies into
healthcare, identifying success factors and challenges through interviews with 70 stakeholders from 33
countries. Healthcare is evolving significantly, with varied objectives across nations aiming to improve
population health. The study explores stakeholders' perceptions on critical success factors, identifying
challenges such as insufficiently trained personnel, organizational silos, and structural barriers to data
exchange. Facilitators for integration include cost reduction initiatives and interoperability policies.
Technologies like IoT, Big Data, AI, Machine Learning, and robotics enhance diagnostics, treatment
precision, and real-time monitoring, reducing errors and optimizing resource utilization. Automation
improves employee satisfaction and patient care, while Blockchain and telemedicine drive cost reductions.
Successful integration requires skilled professionals and supportive policies, promising efficient resource
use, lower error rates, and accelerated processes, leading to optimized global healthcare outcomes.