Machine Learning Applications in Subsurface Energy Resource Management: State of the Art and Future Prognosis - - Books - Taylor & Francis Ltd - 9781032074528 - December 27, 2022
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Machine Learning Applications in Subsurface Energy Resource Management: State of the Art and Future Prognosis

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Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for machine learning applications in subsurface energy resource management (e.g., oil and gas, geologic carbon sequestration, geothermal energy).

372 pages

Media Books     Hardcover Book   (Book with hard spine and cover)
Released December 27, 2022
ISBN13 9781032074528
Publishers Taylor & Francis Ltd
Pages 360
Dimensions 158 × 235 × 25 mm   ·   642 g
Editor Mishra, Srikanta

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