Artificial Intelligence and Data Analytics for Energy Exploration and Production

Name: Artificial Intelligence and Data Analytics for Energy Exploration and Production
Brand: WILEY-SCRIVENER
SKU: 9781119879695
Price: 1168.8 RON
Availability: InStock

Autor: Fred (University of Houston; University of Southern California) Aminzadeh, Cenk (Saudi Aramco) Temizel, Hajizadeh, Yasin (University of Calgary, Canada)

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Legare: Copertă tare

Editura: WILEY-SCRIVENER

Disponibilitate: În depozitul extern

Expediem în 14-20 zile

1 168.80 lei

ARTIFICAL INTELLIGENCE AND DATA ANALYTICS FOR ENERGY EXPLORATION AND PRODUCTION This groundbreaking...

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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.

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Artificial Intelligence and Data Analytics for Energy Exploration and Production

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