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"item_title" : "Machine Learning Applications in Subsurface Energy Resource Management",
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Machine Learning Applications in Subsurface Energy Resource Management : State of the Art and Future Prognosis
Overview
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).
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Details
- ISBN-13: 9781032074528
- ISBN-10: 1032074523
- Publisher: CRC Press
- Publish Date: December 2022
- Dimensions: 9 x 6 x 0.88 inches
- Shipping Weight: 1.49 pounds
- Page Count: 360
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