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Modeling of CO_2 Leakage up Through an Abandoned Well from Deep Saline Aquifer to Shallow Fresh Groundwaters

机译:从深盐含水层到浅层淡水的废弃井中CO_2泄漏的模拟

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This article presents a numerical modeling application using the code TOUGH-REACT of a leakage scenario occurring during a CO_2 geological storage performed in the Jurassic Dogger formation in the Paris Basin. This geological formation has been intensively used for geothermal purposes and is now under consideration as a site for the French national program of reducing greenhouse gas emissions and CO_2 geological storage. Albian sandstone, situated above the Dogger limestone is a major strategic potable water aquifer; the impacts of leaking CO_2 due to potential integrity failure have, therefore, to be investigated. The present case-study illustrates both the capacity and the limitations of numerical tools to address such a critical issue. The physical and chemical processes simulated in this study have been restricted to: (i) supercritical CO_2 injection and storage within the Dogger reservoir aquifer, (ii) CO_2 upwards migration through the leakage zone represented as a ID vertical porous medium to simulate the cement-rock formation interface in the abandoned well, and (iii) impacts on the Albian aquifer water quality in terms of chemical composition and the mineral phases representative of the porous rock by estimating fluid-rock interactions in both aquifers. Because of CPU time and memory constraints, approximation and simplification regarding the geometry of the geological structure, the mineralogical assemblages and the injection period (up to 5 years) have been applied to the system, resulting in limited analysis of the estimated impacts. The CO_2 migration rate and the quantity of CO_2 arriving as free gas and dissolving, firstly in the storage water and secondly in the water of the overlying aquifer, are calculated. CO_2 dissolution into the Dogger aquifer induces a pH drop from about 7.3 to 4.9 limited by calcite dissolution buffering. Glauconite present in the Albian aquifer also dissolves, causing an increase of the silicon and aluminum in solution and triggering the precipitation of kaolinite and quartz around the intrusion point. A sensitivity analysis of the leakage rate according to the location of the leaky well and the variability of the petro-physical properties of the reservoir, the leaky well zone and the Albian aquifers is also provided.
机译:本文介绍了使用代码TOUGH-REACT进行数值建模的应用程序,该程序适用于在巴黎盆地的侏罗纪Dogger地层进行的CO_2地质封存过程中发生的渗漏情景。这种地质构造已被广泛用于地热目的,现在正在考虑作为法国减少温室气体排放和CO_2地质存储国家计划的地点。位于Dogger石灰石上方的Albian砂岩是一种重要的战略饮用水层。因此,必须研究由于潜在的完整性故障而泄漏CO_2的影响。本案例研究说明了数值工具解决这一关键问题的能力和局限性。本研究中模拟的物理和化学过程仅限于:(i)Dogger油藏含水层内的超临界CO_2注入和存储,(ii)CO_2向上通过表示为ID垂直多孔介质的渗漏区向上迁移,以模拟水泥— (iii)通过估算两个含水层中的流体-岩石相互作用,从化学成分和代表多孔岩石的矿物相方面对Albian含水层水质产生影响。由于CPU时间和内存的限制,已将有关地质结构的几何,矿物组合和注入期(最长5年)的近似和简化应用于系统,从而导致对估计影响的分析有限。首先计算出CO 2的迁移率和作为游离气体并溶解的CO 2的量,首先是在储存水中,其次是在上覆含水层的水中。溶解在Dogger含水层中的CO_2引起pH值从约7.3降至4.9,受方解石溶解缓冲作用限制。 Albian含水层中存在的青铝石也会溶解,导致溶液中的硅和铝增加,并触发侵入点附近的高岭石和石英沉淀。还提供了根据泄漏井的位置以及储层,泄漏井区和Albian含水层的岩石物理属性的变化对泄漏率的敏感性分析。

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