This volume presents a collection of articles on state-of-the-art soft computing and AI applications that cover broad domains and many disciplines. The authors explain the evolution of the mathematics behind the intelligent systems; consider fuzzy logic and neural network applications; and explore several AI applications.

Soft Computing: Fuzzy Logic, Neural Networks, and Distributed Artificial Intelligence (Prentice Hall Series on Environmental and Intelligent Manufac)

Computers & Technology

Aminzadeh, Fred

Certification

PRENTICE/HALL

Geophysics for Petroleum Engineers focuses on the applications of geophysics in addressing petroleum engineering problems. It explores the complementary features of geophysical techniques in better understanding, characterizing, producing and monitoring reservoirs. This book introduces engineers to geophysical methods so that they can communicate with geophysicist colleagues and appreciate the benefits of their work. These chapters describe fundamentals of geophysical techniques, their physical bases, their applications and limitations, as well as possible pitfalls in their misuse. Case study examples illustrate the integration of geophysical data with various other data types for predicting and describing reservoir rocks and fluid properties. The examples come from all over the world, with several case histories from the fields in the Middle East.

Geophysics for Petroleum Engineers (Volume 60) (Developments in Petroleum Science, Volume 60)

Science & Math

Dasgupta, Shivaji N.

Earth Sciences

Elsevier Science

In this information-packed volume, the authors present mathematical models and analyses for evaluating, assessing, and describing the petroleum geology of the oil-rich South Caspian Sea Basin, including eastern Azerbaijan and western Turkmenistan. Their mathematical models include descriptions of the development and structure of the surrounding geological systems and traps.

Petroleum Geology of the South Caspian Basin

Buryakovsky, L.

Chilingarian, G.V.

Gulf Professional Publishing

RESERVOIR CHARACTERIZATION FUNDAMENTALS AND APPLICATIONS The second volume in the series, "Sustainable Energy Engineering," written by some of the foremost authorities in the world on reservoir engineering, this groundbreaking new volume presents the most comprehensive and updated new processes, equipment, and practical applications in the field. Long thought of as not being "sustainable," newly discovered sources of petroleum and newly developed methods for petroleum extraction have made it clear that not only can the petroleum industry march toward sustainability, but it can be made "greener" and more environmentally friendly. Sustainable energy engineering is where the technical, economic, and environmental aspects of energy production intersect and affect each other. This collection of papers covers the strategic and economic implications of methods used to characterize petroleum reservoirs. Born out of the journal by the same name, formerly published by Scrivener Publishing, most of the articles in this volume have been updated, and there are some new additions, as well, to keep the engineer abreast of any updates and new methods in the industry. Truly a snapshot of the state of the art, this groundbreaking volume is a must-have for any petroleum engineer working in the field, environmental engineers, petroleum engineering students, and any other engineer or scientist working with reservoirs. This outstanding new volume: <ul> <li>Is a collection of papers on reservoir characterization written by world-renowned engineers and scientists and presents them here, in one volume</li> <li>Contains in-depth coverage of not just the fundamentals of reservoir characterization, but the anomalies and challenges, set in application-based, real-world situations</li> <li>Covers reservoir characterization for the engineer to be able to solve daily problems on the job, whether in the field or in the office</li> <li>Deconstructs myths that are prevalent and deeply rooted in the industry and reconstructs logical solutions</li> <li>Is a valuable resource for the veteran engineer, new hire, or petroleum engineering student</li> </ul>

Reservoir Characterization: Fundamentals and Applications, Volume 2 (Sustainable Energy Engineering, 2)

Engineering & Transportation

Engineering

Wiley-Scrivener

ARTIFICAL INTELLIGENCE AND DATA ANALYTICS FOR ENERGY EXPLORATION AND PRODUCTION This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications in the field. The book provides an in-depth treatment of the foundations of Artificial Intelligence (AI) Machine Learning, and Data Analytics (DA). It also includes many of AI-DA applications in oil and gas reservoirs exploration, development, and production. The book covers the basic technical details on many tools used in "smart oil fields". This includes topics such as pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural language processing, data analytics and next-generation visualization. While theoretical details will be kept to the minimum, these topics are introduced from oil and gas applications viewpoints. In this volume, many case histories from the recent applications of intelligent data to a number of different oil and gas problems are highlighted. The applications cover a wide spectrum of practical problems from exploration to drilling and field development to production optimization, artificial lift, and secondary recovery. Also, the authors demonstrate the effectiveness of intelligent data analysis methods in dealing with many oil and gas problems requiring combining machine and human intelligence as well as dealing with linguistic and imprecise data and rules.

Artificial Intelligence and Data Analytics for Energy Exploration and Production

Temizel, Cenk

Hajizadeh, Yasin

Expert Systems in Exploration (Geophysical Development Series)

Technology

Soc of Exploration Geophysicists

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