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Oil industries --- Oilseed industry --- Petroleum industry and trade

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"This book examines Russia's capacity to respond to a changing world through the lens of the country's oil industry. Against a backdrop of social, political and climatic change, Indra Overland and Nina Poussenkova present a systematic analysis of how modern energy developments in the form of shale oil, offshore oil and the global energy transition are handled. The book profiles Russia's five largest oil companies - Rosneft, LUKOIL, Gazprom Neft, Surgutneftegas and Tatneft - which are vital channels for much of Russia's income and constitute the backbone of the Russian economy. It explores the importance of the petroleum sector to Russian society, the place of Russian oil and gas in the world's energy supply and the rapid pace of change in the global energy industry. In doing so, it offers insights into internationalization, oil price fluctuations, corporate social responsibility and the impact of Western sanctions against Russia. This is an important read for scholars working on the Russian economy and energy business, particularly corporate social responsibility, organisational change and politics. It will also be a helpful reference tool for anyone working on the global petroleum sector who needs an update on the world's largest energy exporter"--

Oil industries --- Petroleum industry and trade --- Energy industries --- Oilseed industry --- oil companies book --- corporate social responsibility --- Arctic --- sanctions --- Russia --- climate change --- 1917 --- Rosja --- Rossīi︠a︡ --- Rossīĭskai︠a︡ Imperīi︠a︡ --- Ṛusastan --- Russian Empire --- Russie --- Russland

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This book addresses the factors that have led to the lackluster economic performance of the oil MENA region, despite the wealth of its vast natural resource. It offers a radical policy recommendation as a way out. Using data from a wide variety of sources, it analyzes the major problems that confront the governments of the MENA region, and make the case why the status quo is unsustainable. Recently, Algeria has shown that people will tire of the status quo and will demand wholesale changes. At the core of the problem of corruption, rent seeking, waste, and lack of economic diversification, is the presence of oil and its control by the state. But oil by itself should help, not hinder MENA’s economic development. While historically, oil revenues may have contributed to the maintenance of corrupt institutions and rent seeking among oil-rich nations, the mere presence of such valuable natural resources need not be the problem. It argues for a plan to empower citizens and invert the power relationship, so that the citizen’s voices matter. For the spirit of the Arab Spring to be successful, the region must adopt significant institutional changes that embrace the rule of law, transparency, democratic accountability, and the protection of human and private rights.

Oil industries. --- Oilseed industry --- Petroleum industry and trade --- Development economics. --- Economic growth. --- Economic policy. --- Development Economics. --- Economic Growth. --- Economic Policy. --- Economic nationalism --- Economic planning --- National planning --- State planning --- Economics --- Planning --- National security --- Social policy --- Development, Economic --- Economic growth --- Growth, Economic --- Economic policy --- Statics and dynamics (Social sciences) --- Development economics --- Resource curse --- Economic development

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This book provides a comprehensive analysis of the role of gateway cities in contemporary circuits of global production. Apart from facilitating the interlinking of economic activities in the surrounding regions with the global economy, gateway cities have enormous implications for how certain regions participate in the global economy. Based on a case study of the oil and gas industry in Southeast Asia the book maps gateway cities, explores why these cities have come to occupy a gateway role, and evaluates their implications for regional economic development. To this aim, the book links components from research on the World City Network with Global Production Network research and demonstrates how this intersection creates synergies for studying the role of cities in economic globalization. The main audiences that this book appeals to are researchers and students interested in debates on regional development and the role of cities in the global economy. The book is also attractive to scholars interested in the organization of extractive industries.

Economic development --- Petroleum industry and trade --- Energy industries --- Oil industries --- Development, Economic --- Economic growth --- Growth, Economic --- Economic policy --- Economics --- Statics and dynamics (Social sciences) --- Development economics --- Resource curse --- Geography. --- Urban economics. --- Economic development. --- Economic Geography. --- Urban Economics. --- Development Studies. --- Urban Geography / Urbanism (inc. megacities, cities, towns). --- Cities and towns --- City economics --- Economics of cities --- Cosmography --- Earth sciences --- World history --- Economic aspects --- Economic geography. --- Urban geography. --- Geography --- Geography, Economic --- World economics --- Commercial geography --- Sociology, Urban. --- Urban Sociology. --- Urban sociology

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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 Industrycovers 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. You will: 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.

Machine learning. --- Python (Computer program language). --- Open source software. --- Computer programming. --- Machine Learning. --- Python. --- Open Source. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Free software (Open source software) --- Open code software --- Opensource software --- Computer software --- Scripting languages (Computer science) --- Learning, Machine --- Artificial intelligence --- Machine theory --- Programming --- Petroleum engineering --- Petroleum industry and trade --- Engineering applications. --- Geophysical applications. --- Data processing. --- Energy industries --- Oil industries --- Mining engineering --- Geophysics --- Engineering --- Data processing