Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics
Joint Authors
Xu, Jianping
Xie, Qing
Yuan, Yuanda
Niu, Cong
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-06
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xie, Qing& Xu, Jianping& Yuan, Yuanda& Niu, Cong. 2020. Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics. Geofluids،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1165862
Modern Language Association (MLA)
Xie, Qing…[et al.]. Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics. Geofluids No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1165862
American Medical Association (AMA)
Xie, Qing& Xu, Jianping& Yuan, Yuanda& Niu, Cong. Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics. Geofluids. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1165862
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1165862