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Advances in Geothermal Energy

Experimental, Numerical & Machine Learning Approaches

  • 1st Edition - January 1, 2029
  • Editors: Mrityunjay Singh, Sachchida Nand Pandey, Ajeet Kumar Srivastav, Sandip K. Saha
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 4 4 3 - 1 3 1 7 9 - 0
  • eBook ISBN:
    9 7 8 - 0 - 4 4 3 - 1 3 1 8 0 - 6

Geothermal energy is gaining traction as one of the few renewable energy resources providing continuous significant base-load power with minimal visual impact and no storage… Read more

Advances in Geothermal Energy

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Geothermal energy is gaining traction as one of the few renewable energy resources providing continuous significant base-load power with minimal visual impact and no storage requirement. Recent literature on geothermal energy though is limited to conventional methods and uncertain geological data for models. Advances in Geothermal Energy delivers new advancement of field investigations, reservoir characterization, and rock property estimation, offering better development in computationally efficient and effective models. The first of its kind, this reference presents highly collaborative approaches among field data, lab data, numerical models and deep learning models. Supported by a geographically balanced set of contributors, Advances in Geothermal Energy gives today’s engineers an opportunity to expand geothermal potential and activity through machine learning techniques.