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首页> 外文期刊>Transport in Porous Media >An Analytical Algorithm of Porosity-Permeability for Porous and Fractured Media: Extension to Reactive Transport Conditions and Fitting via Flow-Through Experiments Within Limestone and Dolomite
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An Analytical Algorithm of Porosity-Permeability for Porous and Fractured Media: Extension to Reactive Transport Conditions and Fitting via Flow-Through Experiments Within Limestone and Dolomite

机译：多孔裂缝介质渗透性分析算法：延伸反应转运条件，通过石灰石和白云岩内的流动实验拟合

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Accurate prediction of permeability evolution is essential for forecasting the long-term performance and lifetime of hydrothermal reservoirs, an important goal in the geothermal, ore, and petroleum industries. Erol et al. (Transp Porous Media 120(2):327-358, 2017. 10.1007/s11242-017-0923-z) introduced a general (non-empirical) analytical Kozeny-Carman type equation for predicting matrix and fracture permeability during single-phase, non-reactive flow. Here we incorporate the equation into an algorithm for addressing the influence on porous and fractured media permeability of the transient reactive processes of mineral dissolution and precipitation. Analytical algorithm predictions are identical to permeability values measured during fluid circulation through limestone and dolomite core samples from the Campine Basin deep geothermal system in Belgium. Benchmarking used identical values for initial hydraulic aperture dimension and porosity, measured during fluid circulation based on nondestructive micro-CT imaging. Analytical algorithm predictions of reactive surface area and fracture porosity are similar to results based on the TOUGHREACT reactive transport code. TOUGHREACT implements several well-established power-law models for predicting permeability, notably Civan (AIChE J 47(2):1167-1197, 2001. 10.1002/aic.690470206) and Verma and Pruess (J Geophys Res Solid Earth 93:1159-1173, 1988. 10.1029/jb093ib02p01159). However, these models rely on specification of empirical exponents, which are not straightforward to measure. Our results suggest that a more general, computationally inexpensive analytical method can lead to accurate permeability calculation.
机译：准确预测渗透性进化对于预测热水储层的长期性能和寿命是必不可少的，这是地热，矿石和石油行业的重要目标。 erol等人。 （Transp多孔介质120（2）：327-358,2017。10.1007 / s11242-017-0923-z）引入了一种通用（非经验）分析kozeny-carman型方程，用于在单相期间预测基质和断裂渗透率，非反应流动。在这里，我们将该等式纳入一种解决矿物溶解和沉淀的瞬时反应过程对多孔和裂缝介质渗透性的影响。分析算法预测是通过来自比利时Campine盆地深层地热系统的石灰石和白云岩核心样本在流体循环期间测量的渗透率值相同。基于非破坏性微型CT成像的流体循环期间测量了用于初始液压孔径尺寸和孔隙率的相同值。反应性表面积和断裂孔隙率的分析算法预测与基于古老反应性传输代码的结果类似。努力实现了几种成熟的良好的幂律模型，用于预测渗透性，特别是CIVAN（Aiche J 47（2）：1167-1197,2001.10.1002 / AIC.690470206）和Verma和Pruess（J Geophys Res固体地球93：1159- 1173,1988.101029 / JB093IB02P01159）。然而，这些模型依赖于经验指数的规范，这并不直接测量。我们的研究结果表明，一种更一般的，计算廉价的分析方法可以导致准确的渗透性计算。

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