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A technique to identify the predominant pore direction in a porous medium and application to reservoir rocks
Journal of Petroleum Exploration and Production Technology ( IF 2.4 ) Pub Date : 2021-06-23 , DOI: 10.1007/s13202-021-01215-0
Waldir L. Roque , Edvaldo F. M. Neto , José V. P. Cruz Júnior

The study of the pore space structure of a porous medium has been very much improved with the aid of microtomographic imaging and its analysis through image processing. In this paper, a technique to identify the predominant pore direction (PPD) in the pore space is introduced and according to that the pore space can be partition as vertical (V), horizontal (H) or diagonal (D). The PPD technique has been developed for 2D and 3D spaces based on microCT images of a porous medium and can be used to both, pore or grain spaces. An implementation of the PPD has been done in an in-house computer program using Phyton. A set of application tests for 2D and 3D PPD partitioning is given, being, respectively, i) a synthetic binary image and a binary image of a Berea sandstone rock sample and ii) a Berea sandstone and a Carbonate reservoir rock core samples, both provided by the MicroCT Images and Networks of Imperial College London database, and a 3D grain partitioning of a trabecular bone structure. Additionally, the V, H and D PPD effective pore networks of a pore space are determined; the porosities for the PPD subspaces and for their effective pore networks are computed and results are provided. Finally, a brief discussion about the implementation and computational cost for the 2D and 3D cases is provided. It is worth to mention that the findings of this study may help for better understanding of directional fluid flow and mechanical stress in porous medium.



中文翻译:

一种确定多孔介质中优势孔隙方向的技术及其在储层岩石中的应用

借助显微断层成像及其通过图像处理的分析,对多孔介质孔隙空间结构的研究得到了很大改进。本文介绍了一种识别孔隙空间优势孔隙方向(PPD)的技术,根据孔隙空间可划分为垂直(V)、水平(H)或对角线(D)。PPD 技术已开发用于基于多孔介质的显微 CT 图像的 2D 和 3D 空间,可用于孔隙或颗粒空间。PPD 的实现是在使用 Phyton 的内部计算机程序中完成的。给出了一组 2D 和 3D PPD 划分的应用测试,分别是 i) 合成二值图像和 Berea 砂岩岩石样品的二值图像和 ii) Berea 砂岩和碳酸盐岩储层岩心样品,均由伦敦帝国理工学院的 MicroCT 图像和网络数据库提供,以及小梁骨结构的 3D 颗粒分区。此外,确定了孔隙空间的 V、H 和 D PPD 有效孔隙网络;计算 PPD 子空间的孔隙率及其有效孔隙网络并提供结果。最后,简要讨论了 2D 和 3D 案例的实现和计算成本。值得一提的是,这项研究的结果可能有助于更好地理解多孔介质中的定向流体流动和机械应力。计算 PPD 子空间的孔隙率及其有效孔隙网络并提供结果。最后,简要讨论了 2D 和 3D 案例的实现和计算成本。值得一提的是,这项研究的结果可能有助于更好地理解多孔介质中的定向流体流动和机械应力。计算 PPD 子空间的孔隙率及其有效孔隙网络并提供结果。最后,简要讨论了 2D 和 3D 案例的实现和计算成本。值得一提的是,这项研究的结果可能有助于更好地理解多孔介质中的定向流体流动和机械应力。

更新日期:2021-06-23
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