A method of closing a coal mine underground carbon dioxide storage

By constructing a knowledge base for the evolution of multiphase geological processes and multimodal interpretation, combined with a multi-scale knowledge logic framework, multi-scenario extrapolation and Pareto front analysis were performed, which solved the shortcomings of existing technologies in predicting storage efficiency and optimizing schemes, and achieved efficient carbon dioxide storage.

CN122133808APending Publication Date: 2026-06-02XIAN UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIAN UNIV OF SCI & TECH
Filing Date
2026-04-14
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies have failed to construct a cross-scale causal relationship system for the evolution of multiphase geological processes, and lack systematic integration of geological stratigraphic data, storage condition data and multiphase media migration records. This results in a lack of completeness and depth in the understanding of the intrinsic interaction between geological structure, rock strata properties and fluid transport, making it difficult to achieve efficient carbon dioxide sequestration.

Method used

By constructing a knowledge base for the evolution of multiphase geological processes, constructing causal structures and interpreting multimodal data, combining a multi-scale knowledge logic framework, extrapolating the medium-term prediction capability across multiple scenarios, conducting multi-objective Pareto front analysis, compiling and optimizing the storage scheme, and forming a closed-loop collaborative system through dual-track data verification and bias attribution analysis.

Benefits of technology

It significantly improves the synergy between the prediction of storage effectiveness and the optimization of the scheme, achieves a dynamic balance of multi-objective effectiveness, and ensures the comprehensive effectiveness and practical applicability of the long-term storage scheme.

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Abstract

This invention relates to the field of coal mine sequestration technology and discloses a method for sequestering carbon dioxide underground in closed coal mines. The method includes: constructing a causal structure of a knowledge base for the evolution of multiphase geological processes in coal mines to form a multi-scale knowledge logic framework; interpreting historical sequestration projects in coal mines using multiple modalities and encapsulating the interpretation results as medium-term prediction capabilities; extrapolating the future state of the medium-term prediction capabilities output under multiple scenarios based on the multi-scale knowledge logic framework to obtain a long-term sequestration efficiency trajectory; performing multi-objective Pareto front analysis on the long-term sequestration efficiency trajectory and compiling the analysis results into an optimized sequestration scheme; applying the optimized sequestration scheme and using dual-track data efficiency to verify the real-time monitoring data and the long-term sequestration efficiency trajectory to form a decision-making source deviation representation; analyzing the decision-making source deviation representation through deviation attribution and encoding the analysis results into a multi-scale knowledge logic framework and medium-term prediction capability collaborative reconstruction instruction. This invention can improve the efficiency of carbon dioxide sequestration in closed coal mines.
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