scCO2地质封存多模态安全评估系统及方法

By combining numerical simulation and multi-source monitoring data with a multimodal safety assessment system, and utilizing cross-modal attention feature fusion and physical constraints, the problems of single information source and mechanical parameter degradation in the safety assessment of scCO2 geological storage are solved. This enables accurate identification and early warning of safety status and is applicable to the safety monitoring and risk assessment of carbon dioxide geological storage.

CN122020433BActive Publication Date: 2026-07-17CHINA UNIV OF GEOSCIENCES (WUHAN)

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA UNIV OF GEOSCIENCES (WUHAN)
Filing Date
2026-04-14
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies for assessing the safety of scCO2 geological storage suffer from several problems, including reliance on a single information source, fixed safety thresholds that fail to consider the degradation of mechanical parameters caused by dissolution, and a lack of physical constraints in purely data-driven methods. These issues make it difficult to accurately identify and provide early warnings of the safety status of geological storage.

Method used

A multimodal safety assessment system is adopted, which combines numerical simulation, multi-source monitoring data, cross-modal attention feature fusion and physical constraints to construct multi-channel simulation images and time series. Through the self-attention mechanism, long-term time dependence and potential leakage precursors are captured, and the impact of CO2 dissolution on reservoir mechanical parameters is quantified to achieve accurate identification and early warning of safety status.

Benefits of technology

It enables accurate identification and early warning of the safety status of scCO2 geological storage, and is applicable to safety monitoring and risk assessment of geological storage projects in deep saline aquifers, depleted oil and gas reservoirs and coal seams, providing engineering decision support.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122020433B_ABST
    Figure CN122020433B_ABST
Patent Text Reader

Abstract

本发明公开了一种scCO2地质封存多模态安全评估系统及方法,涉及二氧化碳地质封存安全监测与风险评估技术领域,scCO2地质封存多模态安全评估系统主要包括数值模拟构建模块、多源监测数据采集与分析模块、模拟空间特征编码模块、监测数据时间特征编码模块、跨模态注意力特征融合模块、物理约束与力学退化建模模块、安全状态分类与预警模块。实施本发明提供的scCO2地质封存多模态安全评估系统及方法,能对scCO2地质封存安全状态的准确识别与提前预警。
Need to check novelty before this filing date? Find Prior Art