Machine Learning Applications in Subsurface Energy Resource Management

State of the Art and Future Prognosis

Specificaties
Gebonden, 360 blz. | Engels
CRC Press | 1e druk, 2022
ISBN13: 9781032074528
Rubricering
CRC Press 1e druk, 2022 9781032074528
Verwachte levertijd ongeveer 11 werkdagen

Samenvatting

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

Specificaties

ISBN13:9781032074528
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:360
Uitgever:CRC Press
Druk:1

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        Machine Learning Applications in Subsurface Energy Resource Management