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100 AI Use Cases in the Upstream Industry - A Comprehensive Guide for Professionals and Researchers to Overcome Industry Challenges Using AI and Python - cover

100 AI Use Cases in the Upstream Industry - A Comprehensive Guide for Professionals and Researchers to Overcome Industry Challenges Using AI and Python

Mostafa Kaouri

Maison d'édition: Publishdrive

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Synopsis

Venture into the transformative world of artificial intelligence within the upstream industry with 100 AI Use Cases in the Upstream Industry. This book, written by AI and digital transformation expert, Mostafa Kaouri, provides a comprehensive look at the implementation of AI in the upstream oil and gas sector.
 
The book is structured as a thorough guide, exploring 100 diverse applications of AI in geology, reservoir engineering, drilling, production, operations, planning, data management, and IT. Each use case comes with Python code examples, so you can jump-start your journey into implementing AI solutions in the industry.
 
The journey begins with a historical overview of AI's integration into the industry, charting its course from the advent of computing in the mid-20th century to the recent fusion of AI with other emerging technologies. This paves the way for the heart of the book - 100 AI use cases, each solving distinct challenges faced by the upstream industry.
 
Whether you are a seasoned industry professional seeking to embrace digital transformation or a researcher looking to pioneer new paths in the industry, this book is a definitive resource. It covers not just the theory but also the practical side of AI, presenting Python code examples for each AI use case.
 
With 100 AI Use Cases in the Upstream Industry, you'll get an all-encompassing perspective of AI's power in driving operational efficiency, enhancing safety, and facilitating data-driven decision-making processes in the upstream industry.
 
Start your AI exploration in the upstream industry today and get ready to unlock new potentials in your professional journey.
Disponible depuis: 01/07/2023.
Longueur d'impression: 288 pages.

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