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Author: Katayoun Shafiee Publisher: MIT Press ISBN: 0262548852 Category : Technology & Engineering Languages : en Pages : 359
Book Description
The emergence of the international oil corporation as a political actor in the twentieth century, seen in BP's infrastructure and information arrangements in Iran. In the early twentieth century, international oil corporations emerged as a new kind of political actor. The development of the world oil industry, argues Katayoun Shafiee, was one of the era's largest political projects of techno-economic development. In this book, Shafiee maps the machinery of oil operations in the Anglo-Iranian oil industry between 1901 and 1954, tracking the organizational work involved in moving oil through a variety of technical, legal, scientific, and administrative networks. She shows that, in a series of disagreements, the British-controlled Anglo-Iranian Oil Company (AIOC, which later became BP) relied on various forms of information management to transform political disputes into techno-economic calculation, guaranteeing the company complete control over profits, labor, and production regimes. She argues that the building of alliances and connections that constituted Anglo-Iranian oil's infrastructure reconfigured local politics of oil regions and examines how these arrangements in turn shaped the emergence of both nation-state and transnational oil corporation. Drawing on her extensive archival and field research in Iran, Shafiee investigates the surprising ways in which nature, technology, and politics came together in battles over mineral rights; standardizing petroleum expertise; formulas for calculating profits, production rates, and labor; the “Persianization” of employees; nationalism and oil nationalization; and the long-distance machinery of an international corporation. Her account shows that the politics of oil cannot be understood in isolation from its technical dimensions. The open access edition of this book was made possible by generous funding from Knowledge Unlatched.
Author: Katayoun Shafiee Publisher: MIT Press ISBN: 0262548852 Category : Technology & Engineering Languages : en Pages : 359
Book Description
The emergence of the international oil corporation as a political actor in the twentieth century, seen in BP's infrastructure and information arrangements in Iran. In the early twentieth century, international oil corporations emerged as a new kind of political actor. The development of the world oil industry, argues Katayoun Shafiee, was one of the era's largest political projects of techno-economic development. In this book, Shafiee maps the machinery of oil operations in the Anglo-Iranian oil industry between 1901 and 1954, tracking the organizational work involved in moving oil through a variety of technical, legal, scientific, and administrative networks. She shows that, in a series of disagreements, the British-controlled Anglo-Iranian Oil Company (AIOC, which later became BP) relied on various forms of information management to transform political disputes into techno-economic calculation, guaranteeing the company complete control over profits, labor, and production regimes. She argues that the building of alliances and connections that constituted Anglo-Iranian oil's infrastructure reconfigured local politics of oil regions and examines how these arrangements in turn shaped the emergence of both nation-state and transnational oil corporation. Drawing on her extensive archival and field research in Iran, Shafiee investigates the surprising ways in which nature, technology, and politics came together in battles over mineral rights; standardizing petroleum expertise; formulas for calculating profits, production rates, and labor; the “Persianization” of employees; nationalism and oil nationalization; and the long-distance machinery of an international corporation. Her account shows that the politics of oil cannot be understood in isolation from its technical dimensions. The open access edition of this book was made possible by generous funding from Knowledge Unlatched.
Author: Eric Monteiro Publisher: MIT Press ISBN: 0262372290 Category : Technology & Engineering Languages : en Pages : 229
Book Description
How is digitalization of the offshore oil industry fundamentally changing how we understand work and ways of knowing? Digitalization sits at the forefront of public and academic conversation today, calling into question how we work and how we know. In Digital Oil, Eric Monteiro uses the Norwegian offshore oil and gas industry as a lens to investigate the effects of digitalization on embodied labor, and in doing so shows how our use of new digital technology transforms work and knowing. For years, roughnecks have performed the dangerous and unwieldy work of extracting the oil that lies three miles below the seabed along the Norwegian Continental Shelf. Today, the Norwegian oil industry is largely digital, operated by sensors and driven by data. Digital representations of physical processes inform work practices and decision-making with remotely operated, unmanned deep-sea facilities. Drawing on two decades of in-depth interviews, observations, news clips, and studies of this industry, Eric Monteiro dismantles the divide between the virtual and the physical in Digital Oil. What is gained or lost when objects and processes become algorithmic phenomena with the digital inferred from the physical? How can data-driven work practices and operational decision-making approximate qualitative interpretation, professional judgement, and evaluation? How are emergent digital platforms and infrastructures, as machineries of knowing, enabling digitalization? In answering these questions Monteiro offers a novel analysis of digitalization as an effort to press the limits of quantification of the qualitative.
Author: Klaus Brun Publisher: Gulf Professional Publishing ISBN: 0128146842 Category : Science Languages : en Pages : 630
Book Description
Compression Machinery for Oil and Gas is the go-to source for all oil and gas compressors across the industry spectrum. Covering multiple topics from start to finish, this reference gives a complete guide to technology developments and their applications and implementation, including research trends. Including information on relevant standards and developments in subsea and downhole compression, this book aids engineers with a handy, single resource that will help them stay up-to-date on the compressors needed for today's oil and gas applications. - Provides an overview of the latest technology, along with a detailed discussion of engineering - Delivers on the efficiency, range and limit estimations for machines - Pulls together multiple contributors to balance content from both academics and corporate research
Author: Patrick Bangert Publisher: Gulf Professional Publishing ISBN: 0128209143 Category : Science Languages : en Pages : 290
Book Description
Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. - Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful - Gain practical understanding of machine learning used in oil and gas operations through contributed case studies - Learn change management skills that will help gain confidence in pursuing the technology - Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)
Author: Hoss Belyadi Publisher: Gulf Professional Publishing ISBN: 0128219300 Category : Science Languages : en Pages : 478
Book Description
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. - Helps readers understand how open-source Python can be utilized in practical oil and gas challenges - Covers the most commonly used algorithms for both supervised and unsupervised learning - Presents a balanced approach of both theory and practicality while progressing from introductory to advanced analytical techniques
Author: John S. Evans Publisher: ISBN: 9781901892055 Category : Lubricating oils Languages : en Pages : 158
Book Description
The Oil Analysis Handbook is a volume in Coxmoor's Machine & System Condition Monitoring Series. Oil is considered as much an integral part of machine as any of its mechanical components and so must perform many vital functions over an extended period. By testing a sample of lubricant it is possible to measure its ability to continue its original function. This book sets out the concepts of oil analysis for the mature professional, the novice and student.
Author: Yogendra Narayan Pandey Publisher: Apress ISBN: 9781484260937 Category : Computers Languages : en Pages : 300
Book Description
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.
Author: Ross Barrett Publisher: U of Minnesota Press ISBN: 1452943958 Category : Nature Languages : en Pages : 519
Book Description
In the 150 years since the birth of the petroleum industry oil has saturated our culture, fueling our cars and wars, our economy and policies. But just as thoroughly, culture saturates oil. So what exactly is “oil culture”? This book pursues an answer through petrocapitalism’s history in literature, film, fine art, wartime propaganda, and museum displays. Investigating cultural discourses that have taken shape around oil, these essays compose the first sustained attempt to understand how petroleum has suffused the Western imagination. The contributors to this volume examine the oil culture nexus, beginning with the whale oil culture it replaced and analyzing literature and films such as Giant, Sundown, Bernardo Bertolucci’s La Via del Petrolio, and Ben Okri’s “What the Tapster Saw”; corporate art, museum installations, and contemporary photography; and in apocalyptic visions of environmental disaster and science fiction. By considering oil as both a natural resource and a trope, the authors show how oil’s dominance is part of culture rather than an economic or physical necessity. Oil Culture sees beyond oil capitalism to alternative modes of energy production and consumption. Contributors: Georgiana Banita, U of Bamberg; Frederick Buell, Queens College; Gerry Canavan, Marquette U; Melanie Doherty, Wesleyan College; Sarah Frohardt-Lane, Ripon College, Matthew T. Huber, Syracuse U; Dolly Jørgensen, Umeå U; Stephanie LeMenager, U of Oregon; Hanna Musiol, Northeastern U; Chad H. Parker, U of Louisiana at Lafayette; Ruth Salvaggio, U of North Carolina, Chapel Hill; Heidi Scott, Florida International U; Imre Szeman, U of Alberta; Michael Watts, U of California, Berkeley; Jennifer Wenzel, Columbia University; Sheena Wilson, U of Alberta; Rochelle Raineri Zuck, U of Minnesota Duluth; Catherine Zuromskis, U of New Mexico.
Author: Timothy Mitchell Publisher: Verso Books ISBN: 1781681163 Category : Political Science Languages : en Pages : 289
Book Description
“A brilliant, revisionist argument that places oil companies at the heart of 20th-century history—and of the political and environmental crises we now face.” —Guardian “A sweeping overview of the relationship between fossil fuels and political institutions from the industrial revolution to the Arab Spring.” —Financial Times Oil is a curse, it is often said, that condemns the countries producing it to an existence defined by war, corruption and enormous inequality. Carbon Democracy tells a more complex story, arguing that no nation escapes the political consequences of our collective dependence on oil. It shapes the body politic both in regions such as the Middle East, which rely upon revenues from oil production, and in the places that have the greatest demand for energy. Timothy Mitchell begins with the history of coal power to tell a radical new story about the rise of democracy. Coal was a source of energy so open to disruption that oligarchies in the West became vulnerable for the first time to mass demands for democracy. In the mid-twentieth century, however, the development of cheap and abundant energy from oil, most notably from the Middle East, offered a means to reduce this vulnerability to democratic pressures. The abundance of oil made it possible for the first time in history to reorganize political life around the management of something now called “the economy” and the promise of its infinite growth. The politics of the West became dependent on an undemocratic Middle East. In the twenty-first century, the oil-based forms of modern democratic politics have become unsustainable. Foreign intervention and military rule are faltering in the Middle East, while governments everywhere appear incapable of addressing the crises that threaten to end the age of carbon democracy—the disappearance of cheap energy and the carbon-fuelled collapse of the ecological order. In making the production of energy the central force shaping the democratic age, Carbon Democracy rethinks the history of energy, the politics of nature, the theory of democracy, and the place of the Middle East in our common world.
Author: Katayoun Shafiee
Author: Katayoun Shafiee
Author: Eric Monteiro
Author: Klaus Brun
Author: Patrick Bangert
Author: Hoss Belyadi
Author: Larry A. Toms
Author: John S. Evans
Author: Yogendra Narayan Pandey
Author: Ross Barrett
Author: Timothy Mitchell