Work

Scalable Geomechanical Modeling for CO2 Sequestration Using Progressive Neural Operators with Low-Rank Adaptation

Year: 2025

Type: conference-paper

Source: U.S. Rock Mechanics/Geomechanics Symposium (ARMA)

DOI: 10.56952/arma-2025-0688

Authors: Teeratorn Kadeethum, Daniel Lizama Molina, Kyung Won Chang, Hongkyu Yoon

Institution: Sandia National Laboratories

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4412989991

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