首页|期刊导航|地质学报|基于室内注入试验的岩芯尺度玄武岩-CO2矿化封存固碳量优化计算方法研究

基于室内注入试验的岩芯尺度玄武岩-CO2矿化封存固碳量优化计算方法研究OA

Optimized calculation method for carbon sequestration capacity in core-scale basalt-CO2 mineralization based on laboratory injection experiments

中文摘要英文摘要

玄武岩-CO2 矿化封存是实现我国"双碳"战略的新兴碳封存技术,其中针对玄武岩地层封存潜力的准确评价是衡量矿化封存工程可行性的关键.目前玄武岩矿化封存潜力计算存在矿物置换法、单位矿化法等诸多方法,业内对不同方法的计算原理、精度及适用条件仍缺乏共识.本研究基于自主研发的CO2 稳态渗流试验系统,开展注入性矿化试验,考察海南文昌地区具有不同孔隙、裂隙特征玄武岩样品在矿化封存过程中的溶液离子浓度、渗透率、次生矿物生长质量等指标的动态变化过程,比对计算值,明确各类计算方法的误差范围及原因.在此基础上提出一种固碳量优化计算方法,应用于海南文昌市蓬莱镇黑山岭(HSL)、上海白龙港-三甲港区(SJG)玄武岩地层固碳量计算.结果表明:在矿化反应初期主要发生矿物溶解,Ca2+、Mg2+离子浓度处于过饱和状态,渗透率小幅上升,此后持续下降;次生矿物生长呈现出明显的分区特性,入口区段溶解反应占据主导,出口区段沉淀占据主导;受压溶效应影响,矿化过程中含裂隙的玄武岩开度分别下降了5.23%和2.97%,完整玄武岩反应后表面C元素质量占比为2.6%,裂隙面开度降低及孔隙"堵塞"是导致渗透率降低的主要原因;孔隙/裂隙结构差异直接影响玄武岩固碳潜力,含大孔和裂隙的玄武岩固碳潜力超出小孔完整玄武岩135.7%;对比玄武岩固碳潜力的理论计算值与试验值表明,矿物置换法计算误差最低为2.4%,而单位矿化法与孔隙填充法的计算结果都存在显著高估;提出的固碳潜力优化计算方法可在不额外引入经验参数的前提下实现计算精度提升,计算得到 HSL及SJG两个站点7500 m2 场地条件下对应的玄武岩地层的潜在固碳量分别为7.01×104 t与9.50×104 t.上述研究结果可为后续矿化封存可行性分析提供依据.

Basalt-CO2 mineral sequestration is an emerging CCUS(Carbon Capture,Utilization,and Storage)technology essential for achieving China's"dual carbon"strategy.Accurate evaluation of the sequestration potential of basalt formations is a key technical indicator for assessing the feasibility of mineral sequestration projects.Currently,various methods exist for calculating the mineral sequestration potential of basalt,such as the mineral replacement and unit mineralization methods;however,there is no industry consensus regarding the calculation principles,accuracy,and applicable conditionsof these approaches.Using an independently developed steady-state CO2 seepage test system,this study conducted laboratory injection-driven mineralization experiments to investigate the dynamic evolution of indicators such as solution ion concentration,permeability,and secondary mineral accumulationin basalt samples with varying pore and fracture characteristics from Wenchang,Hainan,during long-term mineral sequestration.By comparing the calculated values,the error ranges and underlying causes of various calculation methods were clarified.On this basis,an optimized calculation method for carbon sequestration capacity was proposed and applied to calculate the carbon sequestration capacity of basalt formations in Heishanling(HSL;Penglai Town,Wenchang City,Hainan)and the Bailonggang-Sanjia Port Area(SJG;Shanghai).The results show that:mineral dissolution dominates the early stages of the mineralization reaction,with Ca2+and Mg2+concentrations reaching supersaturation,followed by a slight permeability increase and a subsequent continuous decrease.The growth of secondary minerals shows obvious spatial patterns,with dissolution reactions dominating in the inlet section and precipitation dominating in the outlet section.Furthermore,pressure dissolution caused fracture apertures to decrease by 5.23%and 2.97%respectively.The 2.6%mass percentage of carbon on the surface of intact basalt,combined with fracture closure and pore"blockage,"accounts for the observed permeability reduction.The results indicate that basalt with larger pores and fractures exhibits a carbon sequestration potential 135.7%higher than that of intact basalt with small pores.Comparison between theoretical and experimental values shows that the mineral replacement method yields the lowest error(2.4%),while the unit mineralization and pore-filling methods significantly overestimate potential.The optimized calculation method improves calculation accuracy without the need for additional empirical parameters.Finally,the potential carbon sequestration capacities of the HSL and SJG sites were calculated to be 7.01×104 and 9.50×104 tons,respectively(for a 7500 m2 site area).These findings provide a scientific basis for the feasibility analysis of mineralization sequestration projects.

周渊涛;李博;张丰收;石振明;孔德珩

同济大学土木工程学院,上海,200092同济大学土木工程学院,上海,200092同济大学土木工程学院,上海,200092同济大学土木工程学院,上海,200092同济大学土木工程学院,上海,200092

固碳量矿化反应CCUS孔隙/裂隙玄武岩

carbon sequestration capacitymineralization reactionCCUSporous/fractured basalt

《地质学报》 2026 (8)

2970-2984,15

本文为腾讯首届碳寻计划项目、国家自然科学基金资助项目(编号42377162,42402284)和中国博士后科学基金资助项目(编号2023M732632)联合资助的成果.

10.19762/j.cnki.dizhixuebao.2025396

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