Basic Petroleum Data Book
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Author | : William C. Lyons |
Publisher | : Gulf Professional Publishing |
Total Pages | : 1450 |
Release | : 1996 |
Genre | : Technology & Engineering |
ISBN | : 0884156427 |
Volume 1 presents the mathematics and general engineering and science of petroleum engineering. It also examines the auxiliary equipment and provides coverage of all aspects of drilling and well completion.
Author | : Peter K. Link |
Publisher | : Oil & Gas Consultants International, Incorporated |
Total Pages | : 448 |
Release | : 1987 |
Genre | : Nature |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 340 |
Release | : 2005 |
Genre | : Energy conservation |
ISBN | : |
Author | : Alberto Clo |
Publisher | : Springer Science & Business Media |
Total Pages | : 269 |
Release | : 2013-03-09 |
Genre | : Business & Economics |
ISBN | : 1475760612 |
In 20th century society, oil has played a fundamental role not only from the economic point of view, but also from the point of view of the political relationships established between major Western countries and oil-producing countries. A survey into oil history, its market dynamics and price evolution, is essential for a deeper understanding of modern industry and world economy, as world development depends on oil supplies, prices, and its political accessibility. Oil Economics and Policy follows the historical development of the oil industry, and inevitably also covers many aspects of energy resource economy. In so doing, it pays particular attention to one aspect, namely, the fixing of oil prices. This is mainly in order to attempt to understand whether, and by how much, the structural transformations that the oil industry has undergone during the various phases of its existence - and the various market structures deriving from them - have influenced the dynamics of oil prices. Alberto ClĂ´ is Professor of Industrial Economics at the University of Bologna. Minister of Industry and Trade during Lamberto Dini's government (January 1995-May 1996), he has been a member both of national and international scientific boards and of ministerial committees. He is author of numerous writings on industrial and energy economies and editor-in-chief of the journal Energia.
Author | : Adam T. Bourgoyne |
Publisher | : |
Total Pages | : 522 |
Release | : 1986 |
Genre | : Business & Economics |
ISBN | : |
Applied Drilling Engineering presents engineering science fundamentals as well as examples of engineering applications involving those fundamentals.
Author | : |
Publisher | : |
Total Pages | : 196 |
Release | : 1985 |
Genre | : Energy conservation |
ISBN | : |
Author | : M.A. Al-Sahlawi |
Publisher | : CRC Press |
Total Pages | : 457 |
Release | : 1992-01-22 |
Genre | : Science |
ISBN | : 1482277026 |
Revised and updated to reflect major changes in the field, this second edition presents an integrated and balanced view of current attitudes and practices used in sound economic decision-making for engineering problems encountered in the oil industry. The volume contains many problem-solving examples demonstrating how economic analyses are applied
Author | : United States. Energy Information Administration. Office of Oil and Gas |
Publisher | : |
Total Pages | : 114 |
Release | : 1991 |
Genre | : Natural gas |
ISBN | : |
Author | : Patrick Bangert |
Publisher | : Gulf Professional Publishing |
Total Pages | : 290 |
Release | : 2021-03-04 |
Genre | : Science |
ISBN | : 0128209143 |
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 | : Tetra Tech, Inc |
Publisher | : |
Total Pages | : 532 |
Release | : 1979 |
Genre | : Energy conservation |
ISBN | : |