咸水层CO₂注入动态分析及封存潜力评估方法

CO₂ injection dynamic analysis and storage capacity evaluation in saline aquifers

摘要

为实现咸水层CO₂封存过程中储层参数的快速识别与动态封存潜力的准确预测,提出一种适用于两相流动条件下的CO₂注入动态分析方法。基于非稳态渗流理论,建立考虑应力敏感效应的CO₂-咸水两相渗流数学模型,引入拟压力和拟时间函数,表征压力、饱和度及物性参数变化引起的非线性响应;结合物质平衡方程求解平均压力和平均饱和度,形成适用于注入全过程流动阶段划分、储层物性参数反演和动态封存潜力预测的直线分析方法。结果表明:该方法考虑地质条件与经济因素,能够有效克服两相流与应力敏感效应耦合引起的非线性响应问题,实现CO₂咸水层封存渗流特征预测与动态封存潜力评估,具有较高的储层识别精度。该结果为CO₂地质封存的现场部署与风险控制提供支持。

Abstract

To enable rapid identification of reservoir properties and accurate evaluation of storage potential during CO₂ injection in saline aquifers, a two-phase RTA method suitable for injection scenarios is proposed. The mathematical model for CO₂-brine two-phase flow incorporating stress-sensitive effects is developed. The model introduces pseudopressure and pseudotime functions, coupled with the material balance equation, provides an analytical solution. A set of diagnostic plots is constructed to segment the entire injection process into distinct two-phase flow regimes, while straight-line analysis is used to invert aquifer properties. The results show that, by integrating an injectivity forecasting model and accounting for both geological constraints and economic considerations, the method enables predictive analysis of CO₂ injection performance and dynamic storage capacity. Validation using synthetic and field injection cases demonstrates the method's high accuracy in reservoir characterization and strong applicability in engineering practice. This result offers valuable support for field deployment and risk management of CO₂ geological storage.

关键词

CO₂封存 / 两相流 / 咸水层 / 注入动态分析 / 储层参数反演 / 封存潜力评估

Key words

CO₂ storage / two-phase flow / saline aquifer / injection dynamic analysis / reservoir parameter inversion / storage potential assessment

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基金资助

国家重点研发计划项目(2022YFE0206700)