Machine Learning-Driven Analysis of Geophysical Wellbore Data for Underground Storage Applications
Published in Rock Mechanics and Rock Engineering, 2026
This journal article studies machine-learning methods for interpreting geophysical wellbore data in support of underground carbon storage applications.
Recommended citation: N. Bondarenko, A. Ankul, C. Goldberg, S. Williams-Stroud, and R. Makhnenko. "Machine Learning-Driven Analysis of Geophysical Wellbore Data for Underground Storage Applications." Rock Mechanics and Rock Engineering, 2026.
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