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Appendices for Geothermal Exploration Artificial Intelligence Report

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
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SOLTHERM Thermodynamic Database for Geochemical Modeling

This data submission is a link to a thermodynamic database maintained by the University of Oregon. The data at this link are not 'data results' from sampling. The data at this link comprise a thermodynamic database for aqueous species, minerals, and gases, including data for stoic...
Palandri, J. University of Oregon
Oct 07, 2015
2 Resources
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Utah FORGE: Evaluation of Potential Geochemical Responses to Injection in the FORGE Geothermal Reservoir

Plugging of fracture porosity from mineral precipitation due to injecting cold water into a a geothermal reservoir can impact the overall permeability of the fracture network in the reservoir. This can have serious ramifications on the efficiency of the geothermal resource. Geoche...
Patil, V. and Simmons, S. Energy and Geoscience Institute at the University of Utah
Apr 03, 2019
1 Resources
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Hawthorne Nevada Deep Direct-Use Feasibility Study Data Used for Geothermal Resource Conceptual Modeling and Power Capacity Estimates

This data submission includes several data components that were used to develop a conceptual model and power capacity-estimates of two low-temperature geothermal resources that define geothermal prospect A at Hawthorne, Nevada. Data are sourced from a combination of legacy publicl...
Ayling, B. and Hinz, N. Great Basin Center for Geothermal Energy
Apr 05, 2020
7 Resources
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