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Leveraging Artificial Intelligence for Field-Scale Thermal Conductivity Prediction in the UTAH FORGE Geothermal System

Year: 2025

Type: conference-paper

Source: SPE Annual Technical Conference and Exhibition

DOI: 10.2118/228167-ms

Authors: F. Nath, R. Garcilazo, J. Collazo

Institution: Texas A&M International University

Language: English

Topic: Geothermal Energy Systems and Applications

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4415139121

FWCI:

Cites: 13

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