Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry

Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry
Author :
Publisher : CRC Press
Total Pages : 162
Release :
ISBN-10 : 9781000629552
ISBN-13 : 1000629554
Rating : 4/5 (554 Downloads)

Book Synopsis Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry by : Manan Shah

Download or read book Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry written by Manan Shah and published by CRC Press. This book was released on 2022-09-02 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain meaningful insights. In addition, as data is the new raw material for today’s world, AI and ML will be applied in every industrial sector. Industry 4.0 mainly focuses on the automation of things. From that perspective, the oil and gas industry is one of the largest industries in terms of economy and energy. Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry analyzes the use of AI and ML in the oil and gas industry across all three sectors, namely upstream, midstream, and downstream. It covers every aspect of the petroleum industry as related to the application of AI and ML, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, and conditions analysis, to the final delivery of the product to the end customer, while taking into account the incorporation of the safety measures for a better operation and the efficient and effective execution of operations. This book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems. It will serve as a useful guide for professionals working in the petroleum industry, industrial engineers, AI and ML experts and researchers, as well as students.


Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry Related Books

Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry
Language: en
Pages: 162
Authors: Manan Shah
Categories: Technology & Engineering
Type: BOOK - Published: 2022-09-02 - Publisher: CRC Press

GET EBOOK

Today, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain mean
Applications of Artificial Intelligence Techniques in the Petroleum Industry
Language: en
Pages: 324
Authors: Abdolhossein Hemmati-Sarapardeh
Categories: Science
Type: BOOK - Published: 2020-08-26 - Publisher: Gulf Professional Publishing

GET EBOOK

Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning th
Shale Analytics
Language: en
Pages: 292
Authors: Shahab D. Mohaghegh
Categories: Technology & Engineering
Type: BOOK - Published: 2017-02-09 - Publisher: Springer

GET EBOOK

This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focu
Machine Learning and Data Science in the Oil and Gas Industry
Language: en
Pages: 290
Authors: Patrick Bangert
Categories: Science
Type: BOOK - Published: 2021-03-04 - Publisher: Gulf Professional Publishing

GET EBOOK

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 eng
Machine Learning in the Oil and Gas Industry
Language: en
Pages: 300
Authors: Yogendra Narayan Pandey
Categories: Computers
Type: BOOK - Published: 2020-11-03 - Publisher: Apress

GET EBOOK

Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas explorat