Machine Learning Applications in Subsurface Energy Resource Management - State of the Art and Future Prognosis (Hardcover)

Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, preventative maintenance, and text mining) Details the emerging area of unstructured (text and image) data analysis applied across these multiple domains Offers multiple perspectives from authors representing operating companies, universities, and research organizations Provides an array of case studies illustrating the latest application of multiple ML techniques in each application domain Includes a literature review of each state-of-art application domain

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	December 2022
First published:	2023
Editors:	Srikanta Mishra
Dimensions:	229 x 152 x 25mm (L x W x T)
Format:	Hardcover
Pages:	360
ISBN-13:	978-1-03-207452-8
Categories:	Books > Professional & Technical > Energy technology & engineering > General Books > Earth & environment > Earth sciences > Geology & the lithosphere > Geochemistry Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-03-207452-3
Barcode:	9781032074528

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