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CO2地质封存是世界范围内减少CO2排放量,缓解温室效应的重要手段。深部咸水层分布广泛且CO2封存潜力大,是最具潜力的CO2封存场所。因开展CO2地质封存条件下CO2与储层岩石相互作用的试验成本高昂且持续时间短,数值模拟成为研究CO2长期封存过程CO2储层岩石物理和化学性质演化的重要手段。CO2和储层岩石化学反应的数值模型主要模拟饱含CO2咸水溶液与储层岩石中含有的矿物发生反应,导致矿物溶解和沉淀的过程,而矿物的溶解和沉淀会影响储层岩石孔隙率和渗透率。数值模拟建模过程中矿物热力学和动力学参数的取值差异,导致矿物溶解和沉淀速率的差异,加大了地球化学模拟结果的不确定性。对重要矿物的地球化学反应相关参数(平衡常数、反应速率常数、比表面积)进行了全面总结,指出了相关参数的不确定性是限制数值模拟准确性的决定因素。
Abstract：CO2 geological sequestration is an important measure to decrease CO2 emissions and mitigate the greenhouse effect worldwide. Deep saline aquifers are widely distributed with a large CO2 sequestration capacity, and are regarded as ideal CO2 sequestration sites. Due to the high cost and short duration of the experiments to study the interaction between CO2 and reservoir rocks under the condition of CO2 geological sequestration, numerical simulation becomes an important method to study the evolutions of the physical and chemical properties of the rock in a CO2 reservoir during long-term sequestration of CO2. The process of mineral dissolution and precipitation caused by the reaction between the CO2-saturated brine and the minerals in the reservoir rock is mainly simulated by the numerical reactive transport model, and the porosity and permeability of the rock in the reservoir are affected by mineral dissolution and precipitation. The variations of the thermodynamic and kinetic parameters of the minerals selected during the modeling process leads to variations of the predicted mineral dissolution and precipitation rates, and thus cause the large uncertainties of the results from geochemical simulation. Moreover, the parameters(equilibrium constant, reaction rate constant, and specific surface area) related to the geochemical reactions of the important minerals are comprehensively summarized, revealing that the uncertainties of the related parameters are the dominating factors to limit the accuracy of the simulation.
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基本信息:
DOI：10.13928/j.cnki.wrahe.2020.11.002
中图分类号:X701
引用信息:
[1]刘思楠,张力为,苏学斌,等.二氧化碳咸水层封存条件矿物溶解与沉淀化学反应建模与参数取值综述[J],2020,51(11):13-22.DOI:10.13928/j.cnki.wrahe.2020.11.002.
基金信息:
国家自然科学基金项目(41902258,U1967208);; 中国科学院-工研院两岸合作计划项目(CAS-ITRI2019011)