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Machine Learning Applications in Subsurface Energy Resource Management|Srikanta Mishra

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

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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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