Department of Earth and Planetary Science, UC Berkeley , 307 McCone Hall Berkeley, California 94720-4767, United States.
Aramco Research Centers, Houston 16300 Park Row Drive Houston, Texas 77094, United States.
Acc Chem Res. 2017 Sep 19;50(9):2075-2084. doi: 10.1021/acs.accounts.7b00334. Epub 2017 Aug 28.
Geologic carbon storage (GCS) involves capture and purification of CO at industrial emission sources, compression into a supercritical state, and subsequent injection into geologic formations. This process reverses the flow of carbon to the atmosphere with the intention of returning the carbon to long-term geologic storage. Models suggest that most of the injected CO will be "trapped" in the subsurface by physical means, but the most risk-free and permanent form of carbon storage is as carbonate minerals (Ca,Mg,Fe)CO. The transformation of CO to carbonate minerals requires supply of the necessary divalent cations by dissolution of silicate minerals. Available data suggest that rates of transformation are highly uncertain and difficult to predict by standard approaches. Here we show that the chemical kinetic observations and experimental results, when they can be reduced to a single cation-release time scale that describes the fractional rate at which cations are released to solution by mineral dissolution, show sufficiently systematic behavior as a function of pH, fluid flow rate, and time that the rates of mineralization can be estimated with reasonable certainty. The rate of mineralization depends on both the abundance (determined by the reservoir rock mineralogy) and the rate at which cations are released from silicate minerals by dissolution into pore fluid that has been acidified with dissolved CO. Laboratory-measured rates and field observations give values spanning 8 to 10 orders of magnitude, but when they are evaluated in the context of a reservoir-scale reactive transport simulation, this range becomes much smaller. The reservoir scale simulations provide limits on the applicable conditions under which silicate mineral dissolution and subsequent carbonate mineral precipitation are likely to occur (pH 4.5 to 6, fluid flow velocity less than 5 m/year, and 50-100 years or more after the start of injection). These constraints lead to estimates of 200 to 2000 years for conversion of 60-90% of injected CO when the reservoir rock has a sufficient volume fraction of divalent cation-bearing silicate minerals and confirms that when reservoir rock mineralogy is not favorable the fraction of CO converted to carbonate minerals is minimal over 10 years. A sufficient amount of reactive minerals is typically about 20% by volume. Our approach may allow for rapid evaluation of mineralization potential of subsurface storage reservoirs and illustrates how reservoir scale modeling can be integrated with other observations to address key issues relating to engineering of geologic systems.
地质碳封存(GCS)涉及在工业排放源处捕获和净化 CO,将其压缩成超临界状态,然后注入地质构造中。该过程逆转了碳向大气的流动方向,旨在将碳返回长期地质储存。模型表明,注入的大部分 CO 将通过物理手段“捕获”在地下,但最安全和永久的碳储存形式是作为碳酸盐矿物(Ca、Mg、Fe)CO。CO 向碳酸盐矿物的转化需要通过溶解硅酸盐矿物来供应必要的二价阳离子。现有数据表明,转化速率高度不确定,难以用标准方法预测。在这里,我们表明,当化学动力学观察结果和实验结果可以简化为一个描述矿物溶解过程中阳离子释放到溶液中的分数速率的单一阳离子释放时间尺度时,它们表现出足够系统的行为,作为 pH、流体流速和时间的函数,从而可以合理地确定矿化速率。矿化速率取决于储层岩石矿物学决定的丰度和硅酸盐矿物通过溶解到酸化的 CO 中释放到孔隙流体中的阳离子的释放速率。实验室测量的速率和现场观测值跨越 8 到 10 个数量级,但当它们在储层尺度反应性传输模拟的背景下进行评估时,这个范围会小得多。储层尺度模拟提供了限制硅酸盐矿物溶解和随后碳酸盐矿物沉淀可能发生的适用条件的范围(pH 值为 4.5 至 6,流体流速小于 5 米/年,注入后 50 至 100 年或更长时间)。这些约束导致当储层岩石具有足够的二价阳离子bearing 硅酸盐矿物体积分数时,注入的 CO 中有 60-90%被转化为 200 至 2000 年的估计,并且当储层岩石矿物学不利时,在 10 年内 CO 转化为碳酸盐矿物的分数最小。足够数量的反应性矿物通常约占体积的 20%。我们的方法可以快速评估地下储存储层的矿化潜力,并说明了如何将储层尺度建模与其他观测结果相结合,以解决与地质系统工程相关的关键问题。