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A digital rock physics approach to effective and total porosity for complex carbonates: pore-typing and applications to electrical conductivity

机译:复杂碳酸盐有效孔隙率和总孔隙率的数字岩石物理方法:孔型分析和电导率应用

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Recent advances in micro-CT techniques allow imaging heterogeneous carbonates at multiple scales and including voxel-wise registration of images at different resolution or in different saturation states. This enables characterising such carbonates at the pore-scale targeting the optimizing of hydrocarbon recovery in the face of structural heterogeneity, resulting in complex spatial fluid distributions. Here we determine effective and total porosity for different pore-types in a complex carbonate and apply this knowledge to improve our understanding of electrical properties by integrating experiment and simulation in a consistent manner via integrated core analysis. We consider Indiana Limestone as a surrogate for complex carbonate rock and type porosity in terms of macro- and micro-porosity using micro-CT images recorded at different resolution. Effective and total porosity fields are derived and partitioned into regions of macro-porosity, micro-porosity belonging to oolithes, and micro-porosity excluding oolithes’ rims. In a second step we use the partitioning of the micro-porosity to model the electrical conductivity of the limestone, matching experimental measurements by finding appropriate cementation exponents for the two different micro-porosity regions. We compare these calculations with calculations using a single cementation exponent for the full micro-porosity range. The comparison is extended to resistivity index at partial saturation, further testing the assignment of Archie parameters, providing insights into the regional connectivity of the different pore types.
机译:微型CT技术的最新进展允许在多个尺度上成像非均质碳酸盐,包括以不同分辨率或不同饱和状态对图像进行体素配准。这使得能够在孔尺度上表征此类碳酸盐,从而针对结构异质性优化烃采收率,从而导致复杂的空间流体分布。在这里,我们确定复杂碳酸盐中不同孔隙类型的有效孔隙率和总孔隙率,并通过集成的岩心分析以一致的方式集成实验和模拟,以此知识来增进我们对电性能的理解。我们使用以不同分辨率记录的微CT图像,将印第安纳州的石灰岩视为复杂碳酸盐岩和类型孔隙度的宏观和微观孔隙度的替代物。导出有效孔隙率区域和总孔隙率区域,并将其划分为大孔隙区域,属于卵石的微孔隙区域和不包含卵石边缘的微孔隙区域。在第二步中,我们使用微孔的划分来模拟石灰岩的电导率,并通过为两个不同的微孔区域找到合适的胶结指数来匹配实验测量值。我们将这些计算与在整个微孔范围内使用单个胶结指数的计算进行比较。该比较扩展到部分饱和时的电阻率指数,进一步测试了Archie参数的分配,从而洞察了不同孔隙类型的区域连通性。

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