Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics

The pore structure reconstruction of the porous media is of great importance to the research of mechanisms of fluid flow in porous media. To capture the large-scale patterns in the pore space, the multiple-point statistical technique is generally adopted for porous media reconstruction. Commonly, tw...

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Main Authors: Qing Xie, Jianping Xu, Yuanda Yuan, Cong Niu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2020/8844968
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author Qing Xie
Jianping Xu
Yuanda Yuan
Cong Niu
author_facet Qing Xie
Jianping Xu
Yuanda Yuan
Cong Niu
author_sort Qing Xie
collection DOAJ
description The pore structure reconstruction of the porous media is of great importance to the research of mechanisms of fluid flow in porous media. To capture the large-scale patterns in the pore space, the multiple-point statistical technique is generally adopted for porous media reconstruction. Commonly, two different schemes, i.e., the single-grid scheme and the multiple-grid scheme, can be applied for simulation realization. The selection between this two schemes and a proper data template size have thus become a new research issue, and the performance of the characteristic reproduction of the training image using this two schemes must be quantified. In this paper, a series of multiple-point statistics simulation basing on a 2D micro-CT sandstone image are proceeded using both single- and multiple-grid schemes, and different data templates are adapted for porous media reconstruction. Further, to quantify the impact of the computational schemes and setting of the data template to the simulation realizations, a number of measurements considering the pore diameter, porosity, connectivity, and permeability are implemented to fully analyze the results obtained. Results show that by using the single-point statistical method, a large template is necessary to reproduce large-scale structures. The multiple-grid template method may bring great benefits to simulation efficiency over the simple data template method, as well as the recovery of the pore long-range geometric features and seepage characteristics. With the extension of the template for the multiple-grid scheme, the simulation results show lack of variations to some extent.
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institution Kabale University
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spelling doaj-art-3f1d9993eae64407b43d4a2c2da1a22f2025-08-20T03:35:53ZengWileyGeofluids1468-81151468-81232020-01-01202010.1155/2020/88449688844968Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point StatisticsQing Xie0Jianping Xu1Yuanda Yuan2Cong Niu3College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, ChinaCollege of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, ChinaCollege of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, ChinaCollege of Building Environment Engineering, Zhengzhou University of Light Industry, Zhengzhou 450000, ChinaThe pore structure reconstruction of the porous media is of great importance to the research of mechanisms of fluid flow in porous media. To capture the large-scale patterns in the pore space, the multiple-point statistical technique is generally adopted for porous media reconstruction. Commonly, two different schemes, i.e., the single-grid scheme and the multiple-grid scheme, can be applied for simulation realization. The selection between this two schemes and a proper data template size have thus become a new research issue, and the performance of the characteristic reproduction of the training image using this two schemes must be quantified. In this paper, a series of multiple-point statistics simulation basing on a 2D micro-CT sandstone image are proceeded using both single- and multiple-grid schemes, and different data templates are adapted for porous media reconstruction. Further, to quantify the impact of the computational schemes and setting of the data template to the simulation realizations, a number of measurements considering the pore diameter, porosity, connectivity, and permeability are implemented to fully analyze the results obtained. Results show that by using the single-point statistical method, a large template is necessary to reproduce large-scale structures. The multiple-grid template method may bring great benefits to simulation efficiency over the simple data template method, as well as the recovery of the pore long-range geometric features and seepage characteristics. With the extension of the template for the multiple-grid scheme, the simulation results show lack of variations to some extent.http://dx.doi.org/10.1155/2020/8844968
spellingShingle Qing Xie
Jianping Xu
Yuanda Yuan
Cong Niu
Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics
Geofluids
title Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics
title_full Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics
title_fullStr Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics
title_full_unstemmed Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics
title_short Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics
title_sort quantitative analysis for the reconstruction of porous media using multiple point statistics
url http://dx.doi.org/10.1155/2020/8844968
work_keys_str_mv AT qingxie quantitativeanalysisforthereconstructionofporousmediausingmultiplepointstatistics
AT jianpingxu quantitativeanalysisforthereconstructionofporousmediausingmultiplepointstatistics
AT yuandayuan quantitativeanalysisforthereconstructionofporousmediausingmultiplepointstatistics
AT congniu quantitativeanalysisforthereconstructionofporousmediausingmultiplepointstatistics