Machine Learning Applications in Subsurface Energy Resource Management: State of the Art and Future Prognosis

Machine Learning Applications in Subsurface Energy Resource Management: State of the Art and Future Prognosis group work Wydawca: Taylor & Francis Ltd Data wydania: 2022 ISBN: 9781032074528 Liczba stron: 360 Format: 235 x 158 x 25 Rodzaj oprawy: Hardback Opis produktu: 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).