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    RiYang LAI, HengYue XU, JiaBao PENG, Xin FU, DanPing CAO. A Feasibility Evaluation Method for Seismic Monitoring of CO₂Geological Storage Based on Reservoir Simulation and PrestackPre-stackTime-Lapse AVO InversionJ. Geophysical Prospecting for Petroleum. DOI: 10.12431/issn.1000-1441.2026-0517
    Citation: RiYang LAI, HengYue XU, JiaBao PENG, Xin FU, DanPing CAO. A Feasibility Evaluation Method for Seismic Monitoring of CO₂Geological Storage Based on Reservoir Simulation and PrestackPre-stackTime-Lapse AVO InversionJ. Geophysical Prospecting for Petroleum. DOI: 10.12431/issn.1000-1441.2026-0517

    A Feasibility Evaluation Method for Seismic Monitoring of CO₂Geological Storage Based on Reservoir Simulation and PrestackPre-stackTime-Lapse AVO Inversion

    • Deep saline reservoirs play a crucial role and have broad application potential in CO2 geological storage. To assess their storage capacity and monitor the migration process of CO2 plumes, this paper takes the Utsira sandstone reservoir in the Sleipner area as the research object, constructs a numerical simulation model for CO2 geological storage, and simulates the CO2 saturation distribution and the evolution characteristics of reservoir physical parameters after CO2 injection. Based on this, considering the elastic parameter response caused by changes in reservoir fluid properties, the time-varying characteristics of parameters such as P-wave velocity, S-wave velocity, and density are predicted using the fluid substitution theory of a rock physics model. Combined with AVO (or AVA, amplitude varying with incident angle) analysis and pre-stack time-lapse AVO inversion, the response capability of time-lapse seismic monitoring technology to the CO2 storage process is systematically evaluated, and the feasibility of the pre-stack seismic inversion method in CO2 geological storage monitoring is verified. This paper constructs an integrated feasibility evaluation process for CO2 geological seismic monitoring, which includes reservoir simulation, rock physics, forward modeling, and pre-stack seismic inversion. This process achieves a systematic connection from reservoir simulation to seismic inversion, providing reliable methodological support for the dynamic monitoring and effect evaluation of CO2 seismic storage in deep saline aquifers.
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