Pore-to-Core Upscaling of Two-Phase Flow in Mixed-Wet Porous Media: Part I—Seamless Pore-Network Extraction

IF 2.7 3区 工程技术 Q3 ENGINEERING, CHEMICAL Transport in Porous Media Pub Date : 2024-09-12 DOI:10.1007/s11242-024-02126-4
Bradley McCaskill, Yanbin Gong, Ziqiang Qin, Mohammad Sedghi, Mohammad Piri, Shehadeh Masalmeh
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Abstract

We present a novel and efficient pore-network extraction (PNE) platform that utilizes a seamless merging algorithm to extract core-sized pore networks directly from high-resolution segmented micro-computed tomography images of rock samples. This platform has the distinct advantage of being parallel friendly, allowing the entire computational workload of the extraction process to be distributed across multiple compute nodes. The superior computational efficiency of this approach paves the way for the extraction of deterministic pore networks with physical dimensions that are comparable to those of core samples employed in conventional core-flooding experiments. Sensitivity analysis studies are performed on digital replicates of Berea and Bentheimer sandstone rock samples. To illustrate the role of a user-defined adjustment coefficient on the extraction process, a set of conventional-sized pore networks are extracted and analyzed for both rock samples. To ascertain the quality of these pore networks, comparisons are made with equivalent pore networks extracted using a well-characterized open-source pore-network extractor. After rigorous examination of these conventional-sized pore networks, the validated PNE platform is applied to extract miniature-core-sized pore networks, and their relevant statistics and petrophysical properties are presented. In addition, these networks are extensively utilized in both quasi-static and dynamic pore-network modeling (PNM) simulations of two-phase flow processes. The predicted two-phase flow properties of the rock samples are benchmarked against the corresponding experimental data and the results are presented in both the current and the second volume of this work.

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混合-湿润多孔介质中两相流动的孔-孔放大:第一部分--无缝孔网提取
我们提出了一种新颖高效的孔隙网络提取(PNE)平台,该平台利用无缝合并算法,直接从岩石样本的高分辨率分段微计算机断层扫描图像中提取岩芯大小的孔隙网络。该平台具有并行友好的显著优势,可将整个提取过程的计算工作量分布在多个计算节点上。这种方法的卓越计算效率为提取确定性孔隙网络铺平了道路,其物理尺寸可与传统岩芯充水实验中使用的岩芯样本相媲美。灵敏度分析研究是在贝里亚和本特海默砂岩岩石样本的数字副本上进行的。为了说明用户定义的调整系数在提取过程中的作用,对这两种岩石样本提取并分析了一组常规尺寸的孔隙网络。为了确定这些孔隙网络的质量,我们将其与使用特性良好的开源孔隙网络提取器提取的等效孔隙网络进行了比较。在对这些常规尺寸的孔隙网络进行严格检查之后,将经过验证的 PNE 平台应用于提取微型岩芯尺寸的孔隙网络,并介绍其相关统计数据和岩石物理特性。此外,这些网络还被广泛用于两相流过程的准静态和动态孔隙网络建模(PNM)模拟。岩石样本的预测两相流特性与相应的实验数据进行了比对,比对结果在本卷和第二卷中均有介绍。
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来源期刊
Transport in Porous Media
Transport in Porous Media 工程技术-工程:化工
CiteScore
5.30
自引率
7.40%
发文量
155
审稿时长
4.2 months
期刊介绍: -Publishes original research on physical, chemical, and biological aspects of transport in porous media- Papers on porous media research may originate in various areas of physics, chemistry, biology, natural or materials science, and engineering (chemical, civil, agricultural, petroleum, environmental, electrical, and mechanical engineering)- Emphasizes theory, (numerical) modelling, laboratory work, and non-routine applications- Publishes work of a fundamental nature, of interest to a wide readership, that provides novel insight into porous media processes- Expanded in 2007 from 12 to 15 issues per year. Transport in Porous Media publishes original research on physical and chemical aspects of transport phenomena in rigid and deformable porous media. These phenomena, occurring in single and multiphase flow in porous domains, can be governed by extensive quantities such as mass of a fluid phase, mass of component of a phase, momentum, or energy. Moreover, porous medium deformations can be induced by the transport phenomena, by chemical and electro-chemical activities such as swelling, or by external loading through forces and displacements. These porous media phenomena may be studied by researchers from various areas of physics, chemistry, biology, natural or materials science, and engineering (chemical, civil, agricultural, petroleum, environmental, electrical, and mechanical engineering).
期刊最新文献
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