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Quantifying flow in variably wet microporous carbonates using object-based geological modelling and both lattice-Boltzmann and pore network fluid flow simulations

机译:使用基于对象的地质建模和格子Boltzmann和孔隙网络流体流动模拟来量化可变湿微孔碳酸盐中的流动

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摘要

Chalky microporosity can constitute up to 100% of the total porosity within carbonate reservoirs, but its contribution to both single- and multi-phase flow is poorly quantified. We present a flexible, object-based algorithm to construct 3D computational rock representations that reproduce micritic fabrics of chalky microporous carbonates based on calcite crystal fabrics observed in 2D SEM images. By methodologically altering model parameters we begin to explore the state-space of microporous carbonates to quantify single- and multi-phase flow using both lattice-Boltzmann and network flow models.Micropore size has little to no effect on single-phase permeability, while differences in multi-phase flow properties are observed for microporous fabrics with pores no smaller than 0.50μm3 suggesting a change in the pore-scale controls on flow. Single-phase permeability increases by an order of magnitude within fabrics of varying total microporosity (18% to 35%), but minimal effect on multi-phase flow is observed. Similarly, multi-phase flow properties are unaltered by micrite rounding due to burial dissolution, suggesting no alteration in pore-network topology. Micrite rounding, however, notably increases porosity and single-phase permeability in comparison to original rhombic micrite fabrics. The presence of moldic mesopores impacts flow but only when there is a direct connection between them. Otherwise, single-phase permeability is controlled bymicropores. Importantly, recovery is dependent on wetting scenario and pore-network homogeneity. Under water-wet imbibition, an increase in pore homogeneity (more micropores) yields a lower residual oil saturation. Together, these results quantify the importance of microporosity in contributing to, or controlling, overall flow and sweep characteristics in carbonate reservoirs.
机译:碳酸盐岩储层中垩白的微孔度最多可构成总孔隙度的100%,但对单相和多相流的贡献却很难量化。我们提出了一种灵活的,基于对象的算法来构建3D计算岩石表示形式,该模型基于在2D SEM图像中观察到的方解石晶体织物,再现了垩白微孔碳酸盐的微晶织物。通过改变模型参数的方法,我们开始探索微孔碳酸盐的状态空间,以使用格-玻耳兹曼模型和网络流模型对单相和多相流进行定量分析。微孔尺寸对单相渗透率的影响很小甚至没有影响孔隙不小于0.50μm3的微孔织物观察到多相流动特性,表明孔隙率控制流量发生了变化。在总微孔度不同(18%至35%)的织物中,单相渗透率增加了一个数量级,但对多相流动的影响却很小。类似地,由于埋藏溶解,多相流的性质不会因微晶石的舍入而改变,这表明孔网络拓扑结构没有变化。然而,与原始菱形微晶织物相比,微晶圆度显着增加了孔隙率和单相渗透性。霉菌中孔的存在会影响流动,但仅在它们之间存在直接连接时才会影响流动。否则,单相渗透率由微孔控制。重要的是,恢复取决于润湿情况和孔隙网络的均匀性。在水湿吸收下,孔隙均质性增加(更多的微孔)会产生较低的剩余油饱和度。综合起来,这些结果量化了微孔在碳酸盐岩储层中有助于或控制总体流量和吹扫特征的重要性。

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