Machine Learning in Oil and Gas Industry

In the chapter, the use of machine learning in the oil and gas industry is briefly presented with emphases on the current trends in the oil and gas models. Also, the use of machine learning in the oil and gas upstream is discussed with highlights on the recent advancement on the use of AI in the oil...

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Main Authors: Sahith Sayani, J.K., Lal, B.
Format: Book
Published: Springer Nature 2023
Online Access:http://scholars.utp.edu.my/id/eprint/38042/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174779179&doi=10.1007%2f978-3-031-24231-1_2&partnerID=40&md5=c79c9a2fb94df592ea7665ab070e66ff
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spelling oai:scholars.utp.edu.my:380422023-12-11T03:02:06Z http://scholars.utp.edu.my/id/eprint/38042/ Machine Learning in Oil and Gas Industry Sahith Sayani, J.K. Lal, B. In the chapter, the use of machine learning in the oil and gas industry is briefly presented with emphases on the current trends in the oil and gas models. Also, the use of machine learning in the oil and gas upstream is discussed with highlights on the recent advancement on the use of AI in the oil and gas industry. The challenges facing the application of machine learning in the oil and gas industry is also presented. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. Springer Nature 2023 Book NonPeerReviewed Sahith Sayani, J.K. and Lal, B. (2023) Machine Learning in Oil and Gas Industry. Springer Nature, pp. 7-26. ISBN 9783031242311; 9783031242304 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174779179&doi=10.1007%2f978-3-031-24231-1_2&partnerID=40&md5=c79c9a2fb94df592ea7665ab070e66ff 10.1007/978-3-031-24231-1₂ 10.1007/978-3-031-24231-1₂
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description In the chapter, the use of machine learning in the oil and gas industry is briefly presented with emphases on the current trends in the oil and gas models. Also, the use of machine learning in the oil and gas upstream is discussed with highlights on the recent advancement on the use of AI in the oil and gas industry. The challenges facing the application of machine learning in the oil and gas industry is also presented. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
format Book
author Sahith Sayani, J.K.
Lal, B.
spellingShingle Sahith Sayani, J.K.
Lal, B.
Machine Learning in Oil and Gas Industry
author_facet Sahith Sayani, J.K.
Lal, B.
author_sort Sahith Sayani, J.K.
title Machine Learning in Oil and Gas Industry
title_short Machine Learning in Oil and Gas Industry
title_full Machine Learning in Oil and Gas Industry
title_fullStr Machine Learning in Oil and Gas Industry
title_full_unstemmed Machine Learning in Oil and Gas Industry
title_sort machine learning in oil and gas industry
publisher Springer Nature
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/38042/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174779179&doi=10.1007%2f978-3-031-24231-1_2&partnerID=40&md5=c79c9a2fb94df592ea7665ab070e66ff
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score 13.160551