Machine Learning-Enhanced Play Fairway Analysis for Uncertainty Characterization and Decision Support in Geothermal Exploration
Geothermal exploration has traditionally relied on geological, geochemical, or geophysical surveys for evidence of adequate enthalpy, fluids, and permeability in the subsurface prior to drilling. The recent adoption of play fairway analysis (PFA), a method used in oil and gas exploration, has progre...
Main Authors: | Holmes, R. Chadwick, Fournier, Aimé |
---|---|
Format: | Article |
Published: |
Multidisciplinary Digital Publishing Institute
2022
|
Online Access: | https://hdl.handle.net/1721.1/141121 |
Similar Items
-
Machine Learning-Enhanced Play Fairway Analysis for Uncertainty Characterization and Decision Support in Geothermal Exploration
by: Holmes, R. Chadwick, et al.
Published: (2022) -
Exploration and Production Risk Mitigation for Geothermal Adoption in the Energy Transition
by: Holmes, Robert Chadwick
Published: (2022) -
Decision analysis for geothermal energy
by: Yost, Keith A
Published: (2012) -
Machine learning and decision support in critical care
by: Johnson, A, et al.
Published: (2016) -
Enhanced geothermal energy and cogeneration : design, technology and economics
by: Ehsani, Shoa-Ollah, 1967-
Published: (2009)