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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
0 Stars
Curated
1 Resources
0 Stars
Curated
Devices Suitable for Sectional Isolation Along Both Cased and Open-hole Wellbores Materials Testing Report
The main goal of this project is to develop an annular isolation system capable to withstand geothermal downhole conditions and mitigate the problems experienced by conventional packers in FORGE wells. This materials testing report is based on thermoplastic and elastomeric materia...
Teodoriu, C. et al Welltec
Nov 08, 2022
2 Resources
0 Stars
Curated
2 Resources
0 Stars
Curated
Devices Suitable for Sectional Isolation Along Both Cased and Open-hole Wellbores Geomechanical Packer Formation Model Iteraction
The main goal of this project is to develop an annular isolation system capable to withstand geothermal downhole conditions and mitigate the problems experienced by conventional packers in FORGE wells. This presentation outlines the work in rock modelling and interaction with the ...
Ghassemi, A. et al Welltec
Jun 20, 2023
2 Resources
0 Stars
Curated
2 Resources
0 Stars
Curated
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Curated
6 Resources
0 Stars
Curated