Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples - Image 1

£127.79

Elsevier Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples

Name: Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples
Brand: Elsevier
Price: 127.79 GBP
Availability: InStock

AI & Machine Learning

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Description

Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry’s pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry. Reviews the use and applications of AI in energy transition of the oil and gas sectors Provides fundamental knowledge and academic background of artificial intelligence, including practical applications with real-world examples and coding flowcharts Showcases the successful implementation of AI in the industry (including geothermal energy)

Product Specifications

Brand: Elsevier
Format: paperback
ASIN: 0443240108
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 01 August 2024
Listed Since: 21 February 2024

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Elsevier Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples

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