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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: State of the Art and Future Prognosis
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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 27 de diciembre de 2022 |
| ISBN13 | 9781032074528 |
| Editores | Taylor & Francis Ltd |
| Páginas | 360 |
| Dimensiones | 158 × 235 × 25 mm · 642 g |
| Editor | Mishra, Srikanta |
