Modeling of 3D Rock Porous Media by Combining X-Ray CT and Markov Chain Monte CarloSource: Journal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 001::page 013001-1DOI: 10.1115/1.4045461Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Rocks contain multi-scale pore structures, with dimensions ranging from nano- to sample-scale, the inherent tradeoff between imaging resolution and sample size limits the simultaneous characterization of macro-pores and micro-pores using single-resolution imaging. Here, we developed a new hybrid digital rock modeling approach to cope with this open challenge. We first used micron-CT to construct the 3D macro-pore digital rock of tight sandstone, then performed high-resolution SEM on the three orthogonal surfaces of sandstone sample, thus reconstructed the 3D micro-pore digital rock by Markov chain Monte Carlo (MCMC) method; finally, we superimposed the macro-pore and micro-pore digital rocks to achieve the integrated digital rock. Maximal ball algorithm was used to extract pore-network parameters of digital rocks, and numerical simulations were completed with Lattice-Boltzmann method (LBM). The results indicate that the integrated digital rock has anisotropy and good connectivity comparable with the real rock, and porosity, pore-throat parameters and intrinsic permeability from simulations agree well with the values acquired from experiments. In addition, the proposed approach improves the accuracy and scale of digital rock modeling and can deal with heterogeneous porous media with multi-scale pore-throat system.
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contributor author | Lin, Wei | |
contributor author | Li, Xizhe | |
contributor author | Yang, Zhengming | |
contributor author | Xiong, Shengchun | |
contributor author | Luo, Yutian | |
contributor author | Zhao, Xinli | |
date accessioned | 2022-02-04T22:57:11Z | |
date available | 2022-02-04T22:57:11Z | |
date copyright | 1/1/2020 12:00:00 AM | |
date issued | 2020 | |
identifier issn | 0195-0738 | |
identifier other | jert_142_1_013001.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4275780 | |
description abstract | Rocks contain multi-scale pore structures, with dimensions ranging from nano- to sample-scale, the inherent tradeoff between imaging resolution and sample size limits the simultaneous characterization of macro-pores and micro-pores using single-resolution imaging. Here, we developed a new hybrid digital rock modeling approach to cope with this open challenge. We first used micron-CT to construct the 3D macro-pore digital rock of tight sandstone, then performed high-resolution SEM on the three orthogonal surfaces of sandstone sample, thus reconstructed the 3D micro-pore digital rock by Markov chain Monte Carlo (MCMC) method; finally, we superimposed the macro-pore and micro-pore digital rocks to achieve the integrated digital rock. Maximal ball algorithm was used to extract pore-network parameters of digital rocks, and numerical simulations were completed with Lattice-Boltzmann method (LBM). The results indicate that the integrated digital rock has anisotropy and good connectivity comparable with the real rock, and porosity, pore-throat parameters and intrinsic permeability from simulations agree well with the values acquired from experiments. In addition, the proposed approach improves the accuracy and scale of digital rock modeling and can deal with heterogeneous porous media with multi-scale pore-throat system. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Modeling of 3D Rock Porous Media by Combining X-Ray CT and Markov Chain Monte Carlo | |
type | Journal Paper | |
journal volume | 142 | |
journal issue | 1 | |
journal title | Journal of Energy Resources Technology | |
identifier doi | 10.1115/1.4045461 | |
journal fristpage | 013001-1 | |
journal lastpage | 013001-8 | |
page | 8 | |
tree | Journal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 001 | |
contenttype | Fulltext |