Machine Learning And Flow Assurance In Oil And Gas Production
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Machine Learning And Flow Assurance In Oil And Gas Production
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Author : Bhajan Lal
language : en
Publisher:
Release Date : 2023
Machine Learning And Flow Assurance In Oil And Gas Production written by Bhajan Lal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
This book is useful to flow assurance engineers, students, and industries who wish to be flow assurance authorities in the twenty-first-century oil and gas industry. The use of digital or artificial intelligence methods in flow assurance has increased recently to achieve fast results without any thorough training effectively. Generally, flow assurance covers all risks associated with maintaining the flow of oil and gas during any stage in the petroleum industry. Flow assurance in the oil and gas industry covers the anticipation, limitation, and/or prevention of hydrates, wax, asphaltenes, scale, and corrosion during operation. Flow assurance challenges mostly lead to stoppage of production or plugs, damage to pipelines or production facilities, economic losses, and in severe cases blowouts and loss of human lives. A combination of several chemical and non-chemical techniques is mostly used to prevent flow assurance issues in the industry. However, the use of models to anticipate, limit, and/or prevent flow assurance problems is recommended as the best and most suitable practice. The existing proposed flow assurance models on hydrates, wax, asphaltenes, scale, and corrosion management are challenged with accuracy and precision. They are not also limited by several parametric assumptions. Recently, machine learning methods have gained much attention as best practices for predicting flow assurance issues. Examples of these machine learning models include conventional approaches such as artificial neural network, support vector machine (SVM), least square support vector machine (LSSVM), random forest (RF), and hybrid models. The use of machine learning in flow assurance is growing, and thus, relevant knowledge and guidelines on their application methods and effectiveness are needed for academic, industrial, and research purposes. In this book, the authors focus on the use and abilities of various machine learning methods in flow assurance. Initially, basic definitions and use of machine learning in flow assurance are discussed in a broader scope within the oil and gas industry. The rest of the chapters discuss the use of machine learning in various flow assurance areas such as hydrates, wax, asphaltenes, scale, and corrosion. Also, the use of machine learning in practical field applications is discussed to understand the practical use of machine learning in flow assurance.
Machine Learning And Flow Assurance In Oil And Gas Production
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Author : Bhajan Lal
language : en
Publisher: Springer Nature
Release Date : 2023-03-11
Machine Learning And Flow Assurance In Oil And Gas Production written by Bhajan Lal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-11 with Technology & Engineering categories.
This book is useful to flow assurance engineers, students, and industries who wish to be flow assurance authorities in the twenty-first-century oil and gas industry. The use of digital or artificial intelligence methods in flow assurance has increased recently to achieve fast results without any thorough training effectively. Generally, flow assurance covers all risks associated with maintaining the flow of oil and gas during any stage in the petroleum industry. Flow assurance in the oil and gas industry covers the anticipation, limitation, and/or prevention of hydrates, wax, asphaltenes, scale, and corrosion during operation. Flow assurance challenges mostly lead to stoppage of production or plugs, damage to pipelines or production facilities, economic losses, and in severe cases blowouts and loss of human lives. A combination of several chemical and non-chemical techniques is mostly used to prevent flow assurance issues in the industry. However, the use of models to anticipate, limit, and/or prevent flow assurance problems is recommended as the best and most suitable practice. The existing proposed flow assurance models on hydrates, wax, asphaltenes, scale, and corrosion management are challenged with accuracy and precision. They are not also limited by several parametric assumptions. Recently, machine learning methods have gained much attention as best practices for predicting flow assurance issues. Examples of these machine learning models include conventional approaches such as artificial neural network, support vector machine (SVM), least square support vector machine (LSSVM), random forest (RF), and hybrid models. The use of machine learning in flow assurance is growing, and thus, relevant knowledge and guidelines on their application methods and effectiveness are needed for academic, industrial, and research purposes. In this book, the authors focus on the use and abilities of various machine learning methods in flow assurance. Initially, basic definitions and use of machine learning in flow assurance are discussed in a broader scope within the oil and gas industry. The rest of the chapters discuss the use of machine learning in various flow assurance areas such as hydrates, wax, asphaltenes, scale, and corrosion. Also, the use of machine learning in practical field applications is discussed to understand the practical use of machine learning in flow assurance.
Machine Learning In The Oil And Gas Industry
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Author : Yogendra Narayan Pandey
language : en
Publisher: Apress
Release Date : 2020-11-03
Machine Learning In The Oil And Gas Industry written by Yogendra Narayan Pandey and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-03 with Computers categories.
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and production engineering. Throughout the book, the emphasis is on providing a practical approach with step-by-step explanations and code examples for implementing machine and deep learning algorithms for solving real-life problems in the oil and gas industry. What You Will Learn Understanding the end-to-end industry life cycle and flow of data in the industrial operations of the oil and gas industry Get the basic concepts of computer programming and machine and deep learning required for implementing the algorithms used Study interesting industry problems that are good candidates for being solved by machine and deep learning Discover the practical considerations and challenges for executing machine and deep learning projects in the oil and gas industry Who This Book Is For Professionals in the oil and gas industry who can benefit from a practical understanding of the machine and deep learning approach to solving real-life problems.
Essentials Of Flow Assurance Solids In Oil And Gas Operations
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Author : Abdullah Hussein
language : en
Publisher: Gulf Professional Publishing
Release Date : 2022-10-19
Essentials Of Flow Assurance Solids In Oil And Gas Operations written by Abdullah Hussein and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-19 with Technology & Engineering categories.
Flow assurance solids deposition is one of the main challenges in oil and gas production operations with millions of dollars spent annually on their mitigation. Essentials of Flow Assurance Solids in Oil and Gas Operations works as an all-inclusive reference for engineers and researchers, covering all the different types of solids that are commonly encountered in oil and gas fields. Structured to flow through real-world operations, the reference branches through each solid deposit problem where the root causes are as well as modeling, monitoring, characterization, and management strategies, all comprehensively reviewed in the light of contemporary research breakthroughs. Backed by several field case studies, Essentials of Flow Assurance Solids in Oil and Gas Operations gives petroleum and reservoir engineers a resource to correlate between the theoretical fundamentals and field practical applications allowing for sustainable and optimal operations. - Provides the main operations of oil and gas fields, the characteristics of produced fluids, and the main flow assurance challenges - Furnishes the basic principles of deposits formation and mitigation, starting with a full investigation of the problems, then mechanisms, causes, predictions, modelling, and sample analysis, followed by management - Distinctively discusses the operational and environmental implications of flow assurance solids and their management using chemical and nonchemical methods - Teaches engineers through impactful visuals and data sets included in every chapter
Deep Learning For Engineers
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Author : Tariq M. Arif
language : en
Publisher: CRC Press
Release Date : 2024-02-28
Deep Learning For Engineers written by Tariq M. Arif and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-28 with Computers categories.
Deep Learning for Engineers introduces the fundamental principles of deep learning along with an explanation of the basic elements required for understanding and applying deep learning models. As a comprehensive guideline for applying deep learning models in practical settings, this book features an easy-to-understand coding structure using Python and PyTorch with an in-depth explanation of four typical deep learning case studies on image classification, object detection, semantic segmentation, and image captioning. The fundamentals of convolutional neural network (CNN) and recurrent neural network (RNN) architectures and their practical implementations in science and engineering are also discussed. This book includes exercise problems for all case studies focusing on various fine-tuning approaches in deep learning. Science and engineering students at both undergraduate and graduate levels, academic researchers, and industry professionals will find the contents useful.
Environmental Friendly Green Technologies For Improvement Of Heavy Crude Oil Flow Assurance
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Author : Shirsendu Banerjee
language : en
Publisher: Springer Nature
Release Date : 2025-05-19
Environmental Friendly Green Technologies For Improvement Of Heavy Crude Oil Flow Assurance written by Shirsendu Banerjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Science categories.
This book focuses on microbial prevention, the employment of specific segregated microorganisms which can be environmental-friendly and efficient technique for both prevention and degradation of wax in pipelines and during enhanced oil recovery (EOR). The demand for oil and gas as a primary source of energy is expected to reach to about 110 million barrels per day by 2040. Discovery of new conventional oil fields has declined, while its demand has risen rapidly in the last decade as crude oil still remains the primary source of energy. Hence, oil industries face a challenge of increasing production and transportation of crude oil from reservoirs which are unconventional. Reservoir to refinery transportation of heavy and waxy crude oils requires more technical expertise due its high viscosity, high asphaltene, and paraffin content along with wax deposition and agglomeration of wax on the inner walls of the pipelines and equipments. This book also boosts the knowledge of students, researchers, scientists, professors, engineers, and professionals who aspire to work in the field of petroleum engineering and related fields of oil production and transportation, environmental science, environmental biotechnology, environmental microbiology, civil/environmental engineering, eco-toxicology, and other relevant areas of sustainable technologies by helping them understand all the necessary technicalities of organic deposition phenomenon, i.e., cause, process, problems arising due to deposition, detection of the parameters responsible for the deposition, mitigation and most importantly, and its eradication.
Handbook Of Multiphase Flow Assurance
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Author : Taras Y. Makogon
language : en
Publisher: Gulf Professional Publishing
Release Date : 2019-06-04
Handbook Of Multiphase Flow Assurance written by Taras Y. Makogon and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-04 with Technology & Engineering categories.
Handbook of Multiphase Flow Assurance allows readers to progress in their understanding of basic phenomena and complex operating challenges. The book starts with the fundamentals, but then goes on to discuss phase behavior, fluid sampling, fluid flow properties and fluid characterization. It also covers flow assurance impedance, deliverability, stability and integrity issues, as well as hydraulic, thermal and risk analysis. The inclusion of case studies and references helps provide an industrial focus and practical application that makes the book a novel resource for flow assurance management and an introductory reference for engineers just entering the field of flow assurance. - Starts with flow assurance fundamentals, but also includes more complex operating challenges - Brings together cross-disciplinary discussions and solutions of flow assurance in a single text - Offers case studies and reference guidelines for practical applications
Machine Learning For Societal Improvement Modernization And Progress
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Author : Pendyala, Vishnu S.
language : en
Publisher: IGI Global
Release Date : 2022-06-24
Machine Learning For Societal Improvement Modernization And Progress written by Pendyala, Vishnu S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-24 with Computers categories.
Learning has been fundamental to the growth and evolution of humanity and civilization. The same concepts of learning, applied to the tasks that machines can perform, are having a similar effect now. Machine learning is evolving computation and its applications like never before. It is now widely recognized that machine learning is playing a similar role to electricity in the late 19th and early 20th centuries in modernizing the world. From simple high school science projects to large-scale radio astronomy, machine learning has revolutionized it all—however, a few of the applications clearly stand out as transforming the world and opening up a new era. Machine Learning for Societal Improvement, Modernization, and Progress showcases the path-breaking applications of machine learning that are leading to the next generation of computing and living standards. The focus of the book is machine learning and its application to specific domains, which is resulting in substantial civilizational progress. Covering topics such as lifespan prediction, smart transportation networks, and socio-economic data, this premier reference source is a dynamic resource for data scientists, industry leaders, practitioners, students and faculty of higher education, sociologists, researchers, and academicians.
Flow Assurance
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Author : Qiwei Wang
language : en
Publisher: Gulf Professional Publishing
Release Date : 2022-06-25
Flow Assurance written by Qiwei Wang and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-25 with Science categories.
Petroleum engineers search through endless sources to understand oil and gas chemicals, find problems, and discover solutions while operations are becoming more unconventional and driving towards more sustainable practices. The Oil and Gas Chemistry Management Series brings an all-inclusive suite of tools to cover all the sectors of oil and gas chemicals from drilling to production, processing, storage, and transportation. The second reference in the series, Flow Assurance, delivers the critical chemical oilfield basics while also covering latest research developments and practical solutions. Organized by the type of problems and mitigation methods, this reference allows the engineer to fully understand how to effectively control chemistry issues, make sound decisions, and mitigate challenges ahead. Basics include root cause, model prediction and laboratory simulation of the major chemistry related challenges during oil and gas productions, while more advanced discussions cover the chemical and non-chemical mitigation strategies for more efficient, safe and sustainable operations. Supported by a list of contributing experts from both academia and industry, Flow Assurance brings a necessary reference to bridge petroleum chemistry operations from theory into safer and cost-effective practical applications. - Offers full range of oilfield production chemistry issues, including chapters focused on hydrate and organic deposition control, liquid blockage mitigation, and abiotic and microbially influenced corrosion prevention - Gain effective control on problems and mitigation strategies from industry list of experts and contributors - Delivers both up to date research developments and practical applications, bridging between theory and practice
Fuels And Energy
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Author : Anil Kumar Sarma
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-03-03
Fuels And Energy written by Anil Kumar Sarma and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Business & Economics categories.
Human civilization has long relied on fire from biomass for energy. Burning, an oxidation reaction, liberates energy and continues until the material reaches its highest oxidation state. The evolution of energy sources, from forest fires to nuclear fuels, marks significant progress. Understanding fuel types and classifications is essential for students and educators. This book covers upstream and downstream processing of various fuels—biomass, petroleum, coal, natural gas, nuclear fuels, hydrogen, and fuel cells—along with combustion technology for energy extraction. It also addresses recent advances, emission concerns from energy industries, and stubble burning. The book explores how advanced formulations of coal, petroleum, and alternative fuels can be optimized for existing combustion systems, ensuring efficiency and compliance with EURO VI emission norms. This comprehensive guide aims to inform readers about fuel classification, energy production, and future research prospects.