Автор: Grann David Название: Killers of the flower moon ISBN: 0857209035 ISBN-13(EAN): 9780857209030 Издательство: Simon&Schuster UK Рейтинг: Цена: 1648.00 р. Наличие на складе: Есть (1 шт.) Описание: A masterpiece of narrative non-fiction, set around an American crime and the birth of the FBI, a thrilling investigative account of a forgotten moment in history.
Автор: Downey, Morgan Patrick Название: Oil 101 ISBN: 0982039204 ISBN-13(EAN): 9780982039205 Издательство: Неизвестно Рейтинг: Цена: 4131.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Causation is asymmetrical in many different ways. Causes precede effects; explanations cite causes not effects. Agents use causes to manipulate their effects; they don`t use effects to manipulate their causes. Effects of a common cause are correlated; causes of a common effect are not. This is a major book for philosophers of science that will also prove insightful to economists and statisticians.
Описание: Crafting an engrossing journey from the Pennsylvania oil fields of the 1860s to today`s Middle East, Crude Volatility shows how past periods of stability and volatility in oil prices help us understand the new boom-bust era. Robert McNally explains how oil became so central to our world and why it is subject to such extreme price fluctuations.
Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges.
Автор: Hussein, Abdullah (production Technician, Elanco C Название: Essentials of flow assurance solids in oil and gas operations ISBN: 0323991181 ISBN-13(EAN): 9780323991186 Издательство: Elsevier Science Рейтинг: Цена: 26107.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Bhajan Lal, Cornelius Borecho Bavoh Название: Machine Learning and Flow Assurance in Oil and Gas Production ISBN: 3031242300 ISBN-13(EAN): 9783031242304 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: This book covers execution of mega industrial projects in oil/gas industries covering engineering, procurement, construction, commissioning and performance testing and covers various tasks under each discipline to define the detailed scope of work, supplies and services.
Автор: Mavko Gary Название: The Rock Physics Handbook, 3 ed. ISBN: 1108420265 ISBN-13(EAN): 9781108420266 Издательство: Cambridge Academ Рейтинг: Цена: 12830.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Responding to the latest developments in rock physics research, this third edition has been thoroughly updated while retaining its comprehensive coverage of the fundamental theory and concepts in solid Earth geophysics. With worked examples, MATLAB (R) codes and datasets, it is the go-to reference for students, researchers and industry professionals.
Описание: This Book is a Gripping Account of the Murky World of the Anglo-American Oil Industry and its Hidden Role in World Politics. -- William Engdahl takes the reader through the history of how seven giant oil companies - five American and two British - developed a controlling grip on the worlds economy unprecedented in history. This is no ordinary history of oil. It is a history of global politics, more precisely of global geopolitics - how control of strategic geographical pivot regions first British and later American interests to control in large part the world economy. -- The book sheds light for the first time on such events as the 1973 oil shock - a sudden 400% rise in the price of the worlds most essential commodity in a matter of weeks. What William Engdahl reveals, with flawless documentation, will shock most people. The implications are even more devastating. He also documents how oil played an essential role in the ultimate collapse of the Soviet Union, in the rise and fall of the Taliban in Afghanistan, in the US occupation of Iraq and countless other events not normally understood in such a light.
Автор: Jeronim Perovi? Название: Cold War Energy ISBN: 3319495313 ISBN-13(EAN): 9783319495316 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the role of Soviet energy during the Cold War. By bringing together a range of junior and senior historians and specialists from Europe, Russia and the US, this book represents a pioneering endeavour to approach the role of Soviet energy during the Cold War in transnational perspective.
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