A method for characterizing permeability of a subsurface hydrogen storage reservoir based on pore volume multiplication

By constructing a dynamic permeability prediction model based on pore volume multiples, the problem of dynamic permeability changes in underground hydrogen storage reservoirs was solved, enabling accurate prediction of permeability in depleted oil and gas reservoirs and improving the reliability and accuracy of hydrogen recovery rate assessment.

CN122193054BActive Publication Date: 2026-07-24CHINA UNIV OF PETROLEUM (EAST CHINA)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA UNIV OF PETROLEUM (EAST CHINA)
Filing Date
2026-05-13
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies fail to accurately consider the dynamic changes in permeability of depleted oil and gas reservoirs over long-term development when assessing underground hydrogen storage facilities, leading to misjudgments of hydrogen recovery rates and posing risks to screening and assessment.

Method used

By using a method based on pore volume multiples, combined with the classical Kozeny-Carman equation and the PTC-KC model, a dynamic permeability prediction model is constructed. Microscopic pore structure parameters are obtained using in-situ CT displacement experiments, and the fluid interaction process at different development stages is simulated to accurately predict reservoir permeability.

Benefits of technology

It enables accurate prediction of the permeability of underground hydrogen storage facilities, improves the reliability of hydrogen recovery, reduces costs, avoids the lag of expensive coring operations and fluid experiments, and provides a basis for the preliminary selection of optimal areas for underground hydrogen storage facilities and risk assessment of injection and production schemes.

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Abstract

The application discloses a kind of underground hydrogen storage reservoir permeability characterization method based on pore volume multiple, it is related to underground hydrogen storage library technical field.The application first obtains the core sample of target depleted oil and gas reservoir, uses core sample to carry out in-situ CT displacement experiment simulation target reservoir different development history stage, obtains the rock micro-pore structure parameter under different cumulative injection pore volume multiple, then constructs the PTC-KC model and pore structure parameter two-stage competition model of target reservoir, obtains the dynamic PTC-KC permeability prediction model based on cumulative injection pore volume multiple by combining the two, for predicting the structure dynamic evolution and dynamic permeability of target reservoir full development cycle, cooperate target reservoir geological model carries out underground hydrogen storage simulation, obtains the hydrogen recovery of target reservoir and carries out evaluation, realizes the accurate prediction of underground hydrogen storage library permeability under the complex development water drive history.
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