Please I need your help to review and sort all machine learning work that was done for Deep Geothermal Energy Exploration and review each approach while writing the pros and cons of each approach. Also I need to identify the knowledge gap within all approaches to help in future work identification.
Please note that we are reviewing DEEP GEOTHERMAL RESOURCES here only and not the shallow resources. Also, please note that I am only concerned with GEOTHERMAL ENERGY EXPLORATION PHASE and not the production or Geothermal Plants.
** PLEASE DONT ADD PHOTOS OR TABLES IN THE REPORT
A BRIEF ON THE REPORT WILL BE AS BELOW:
Machine Learning Work Review
(Review all related projects including but not limited to the documents attached)
Knowledge Gap Identification
(Touch on the importance of the geochemical data as a source of reservoir characteristics identification. Unlike the imagery, seismic and other surface characteristics, geochemical analysis represents the subsurface reservoir)
Other ML applications in Geothermal Energy
(Optimizing power production through plant/ reservoir monitoring & analytics and improving prediction and detection of trouble events)
NB: It will be nice if we can exchange couple of emails on the resources before you spend time on things that are not needed. Thanks
Last Completed Projects
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