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Perspective | Open Access

Advances and prospects of physics-based and data-driven approaches for CO2 geological storage safety assessments

State Key Laboratory of Deep Earth Exploration and Imaging, China University of Geosciences (Beijing), Beijing 100083, P. R. China
The Research Institute of Petroleum Exploration and Development, Beijing 100083, P. R. China
New Mexico Institute of Mining and Technology, Socorro, NM 87801, US
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Abstract

Assessing the long-term safety of geological CO2 storage remains a critical technical challenge. CO2 migration in porous media is governed by the coupling of multiphase flow, capillary trapping, dissolution, geochemical reactions, and geomechanical effects. In addition to geophysical monitoring methods, experimental and mathematical models can estimate CO2 leakage volumes and associated risks by simulating fluid transportation processes. This perspective offers a comprehensive comparison of the recent experimental studies, physics-based models, and data-driven approaches for evaluating CO2 storage safety. Laboratory investigations provide fundamental insights into plume evolution and trapping mechanisms. Analytical and semi-analytical models generate rapid storage capability screening. Numerical simulators serve as essential tools for evaluating long-term storage performance. Data-driven methods can accelerate computational-demanding numerical workflows and support uncertainty quantification. Based on the strengths and limitations of the physics-based and data-driven approaches, this paper further identifies future research directions in experimental design and mathematical modeling for CO2 storage safety assessment.

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Advances in Geo-Energy Research
Pages 197-200

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Cite this article:
Wang Z, Sun Q, Li X, et al. Advances and prospects of physics-based and data-driven approaches for CO2 geological storage safety assessments. Advances in Geo-Energy Research, 2026, 19(2): 197-200. https://doi.org/10.46690/ager.2026.02.07

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Received: 12 January 2026
Revised: 01 February 2026
Accepted: 09 February 2026
Published: 11 February 2026
© The Author(s) 2026.

This article is distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.