An integrated approach to derive relative permeability from capillary pressure

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational Geosciences Pub Date : 2024-06-21 DOI:10.1007/s10596-024-10297-8
Nathan Moodie, Brian McPherson
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Abstract

Surface tension affects all aspects of fluid flow in porous media. Through measurements of surface tension interaction under multiphase conditions, a relative permeability curve can be determined. Relative permeability is a numerical description of the interaction between two or more fluids and the porous media. It is a critical parameter for various tools that characterize subsurface multiphase flow systems, such as numerical simulation for carbon sequestration, oil and gas development, and groundwater contamination remediation. Therefore, it is critical to get a good statistical distribution of relative permeability in the porous media under study. Empirical formula for determining relative permeability from capillary pressure are already well established but do not provide the needed flexibility that is required to match laboratory-derived relative permeability curves. By expanding the existing methods for calculating relative permeability from capillary pressure data, it is possible to create both two and three-phase relative permeability curves. Mercury intrusion capillary pressure (MICP) data from the Morrow 'B' Sandstone coupled with interfacial tension and contact angle measurements were used to create a suite of relative permeability curves. These curves were then calibrated to a small sample of existing laboratory curves to elucidate common fitting parameters for the formation that were then used to create relative permeability curves from MICP data that does not have an associated laboratory-measured relative permeability curve.

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从毛细管压力推导相对渗透率的综合方法
表面张力影响多孔介质中流体流动的方方面面。通过测量多相条件下的表面张力相互作用,可以确定相对渗透率曲线。相对渗透率是对两种或多种流体与多孔介质之间相互作用的数值描述。它是表征地下多相流系统的各种工具的关键参数,例如用于碳封存、油气开发和地下水污染修复的数值模拟。因此,在所研究的多孔介质中获得良好的相对渗透率统计分布至关重要。根据毛细管压力确定相对渗透率的经验公式已经非常成熟,但不具备与实验室得出的相对渗透率曲线相匹配所需的灵活性。通过扩展现有的根据毛细管压力数据计算相对渗透率的方法,可以创建两相和三相相对渗透率曲线。莫罗'B'砂岩的汞侵入毛细管压力(MICP)数据与界面张力和接触角测量结果相结合,被用来创建一套相对渗透率曲线。然后将这些曲线与现有实验室曲线的小样本进行校准,以阐明地层的共同拟合参数,然后利用 MICP 数据绘制没有相关实验室测量相对渗透率曲线的相对渗透率曲线。
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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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