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Author: Society of Petroleum Engineers (U.S.). Technical Conference and Exhibition
Publisher:
ISBN:
Category : Petroleum
Languages : en
Pages : 972
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Book Description
Author: Society of Petroleum Engineers (U.S.). Technical Conference and Exhibition
Publisher:
ISBN:
Category : Petroleum
Languages : en
Pages : 972
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Oil well logging
Languages : en
Pages : 568
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Book Description
Author:
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 808
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Book Description
Author: Gail Williamson
Publisher: Geological Society of London
ISBN: 9781862390430
Category : Science
Languages : en
Pages : 312
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Book Description
Author: Bhajan Lal
Publisher: Springer Nature
ISBN: 3031242319
Category : Technology & Engineering
Languages : en
Pages : 179
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Book Description
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.
Author:
Publisher:
ISBN:
Category : Oil well logging
Languages : en
Pages : 582
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Book Description
Author:
Publisher:
ISBN:
Category : Boring
Languages : en
Pages : 452
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Book Description
Author:
Publisher:
ISBN:
Category : Oil fields
Languages : en
Pages : 232
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Book Description
Author:
Publisher:
ISBN:
Category : Petroleum engineering
Languages : en
Pages : 364
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Book Description
Author: Muhammad Asif
Publisher: CRC Press
ISBN: 1000689433
Category : Technology & Engineering
Languages : en
Pages : 525
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Book Description
The global energy scenario is undergoing an unprecedented transition. In the wake of enormous challenges—such as increased population, higher energy demands, increasing greenhouse gas emissions, depleting fossil fuel reserves, volatile energy prices, geopolitical concerns, and energy insecurity issues—the energy sector is experiencing a transition in terms of energy resources and their utilization. This modern transition is historically more dynamic and multidimensional compared to the past considering the vast technological advancements, socioeconomic implications and political responses, and ever-evolving global policies and regulations. Energy insecurity in terms of its critical dimensions—access, affordability, and reliability—remains a major problem hindering the socioeconomic progress in developing countries. The Handbook of Energy Transitions presents a holistic account of the 21st-century energy transition away from fossil fuels. It provides an overview of the unfolding transition in terms of overall dimensions, drivers, trends, barriers, policies, and geopolitics, and then discusses transition in terms of particular resources or technologies, such as renewable energy systems, solar energy, hydropower, hydrogen and fuel cells, electric vehicles, energy storage systems, batteries, digitalization, smart grids, blockchain, and machine learning. It also discusses the present energy transition in terms of broader policy and developmental perspectives. Further, it examines sustainable development, the economics of energy and green growth, and the role of various technologies and initiatives like renewables, nuclear power, and electrification in promoting energy security and energy transition worldwide. Key Features Includes technical, economic, social, and policy perspectives of energy transitions Features practical case studies and comparative assessments Examines the latest renewable energy and low-carbon technologies Explains the connection between energy transition and global climate change
