Work

Physics-Informed Machine Learning Model for Real-Time Downhole Temperature Monitoring in HPHT and Geothermal Drilling

Year: 2025

Type: conference-paper

Source: SPE Annual Technical Conference and Exhibition

DOI: 10.2118/228003-ms

Authors: Moaz Hiba, Luis E. Zerpa, AmirHossein Fallah, Mohamed Shafik Khaled

Institution: Colorado School of Mines

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4415137841

FWCI: 9.007

Cites: 33

Cited by: 4

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