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[PDF][PDF] A review of predictive analytics in the exploration and management of us geological resources
Dada, Oliha, Majemite, Obaigbena, & Biu, P. No. 313-337 Page 314 methods with modern
predictive analytic techniques. It further investigates the economic impact of predictive …
predictive analytic techniques. It further investigates the economic impact of predictive …
When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates
Previous moderate-and high-temperature geothermal resource assessments of the western
United States utilized data-driven methods and expert decisions to estimate resource …
United States utilized data-driven methods and expert decisions to estimate resource …
Quality analysis of machine learning methods applied to the geothermal potential assessment: a case study
X Cheng, W Qiao, D Hu, Z Qi, P Feng… - Energy Sources, Part A …, 2024 - Taylor & Francis
Accurately determining the favorable areas of geothermal resources and selecting the target
positions of exploration wells are extremely important for exploration and efficient …
positions of exploration wells are extremely important for exploration and efficient …
Assessing Low-Temperature Geothermal Play Types: Relevant Data and Play Fairway Analysis Methods
E Davalos-Elizondo, A Kolker, N Taverna, E Holt - 2023 - osti.gov
The US Department of Energy (DOE) Geothermal Technologies Office (GTO) is supporting
the Geothermal Heating and Cooling Geospatial Datasets and Analysis project conducted …
the Geothermal Heating and Cooling Geospatial Datasets and Analysis project conducted …
Cursed? Why one does not simply add new data sets to supervised geothermal machine learning models
SP Mordensky, E Burns, J Lipor, J DeAngelo - 2023 - par.nsf.gov
Recent advances in machine learning (ML) identifying areas favorable to hydrothermal
systems indicate that the resolution of feature data remains a subject of necessary …
systems indicate that the resolution of feature data remains a subject of necessary …
What did they just say? Building a Rosetta stone for geoscience and machine learning
Modern advancements in science and engineering are built upon multidisciplinary projects
that bring experts together from different fields. Within their respective disciplines …
that bring experts together from different fields. Within their respective disciplines …
Applying Positive Unlabeled Learning Techniques and Using the Kullback-Leibler Divergence to Improve Geothermal Surveying Assessments
MT Rodriguez - 2024 - search.proquest.com
As we face the current climate crisis, the discovery of geothermal energy resources has the
potential to greatly reduce our dependence on fossil fuels worldwide. However, the …
potential to greatly reduce our dependence on fossil fuels worldwide. However, the …
Low-Temperature Geothermal Resources: Relevant Data and PFA Methods to Reduce Development Risk
E Davalos-Elizondo, A Kolker, N Taverna - 2023 - osti.gov
This project is part of a larger national effort focused on demonstrating the multi-faceted
value of integrating low-temperature geothermal resources into national decarbonization …
value of integrating low-temperature geothermal resources into national decarbonization …