LAPSE:2024.1790v1
Published Article

LAPSE:2024.1790v1
Quantitative Characterization of Pore−Fracture Structures in Coal Reservoirs by Using Mercury Injection−Removal Curves and Permeability Variation under Their Constraints
August 23, 2024
Abstract
Pore and fracture structure heterogeneity is the basis for coalbed methane production capacity. In this paper, high-pressure mercury intrusion test curves of 16 coal samples from the Taiyuan Formation in the Linxing area are studied. Based on the fractal dimension values of mercury intrusion and retreat curves, the correlation between the two different fractal parameters is studied. Then, the permeability variation of different types of coal samples is studied using overlying pressure pore permeability tests. The correlation between the permeability variation of coal samples and dimension values is explored, and the results are as follows. (1) Based on porosity and mercury removal efficiency, all coal samples can be divided into three types, that is, types A, B, and C. Among them, Type A samples are characterized by lower total pore volume, with pore volume percentages ranging from 1000 to 10,000 nm not exceeding 15%. (2) During the mercury injection stage, both the M-model and S-model can reflect the heterogeneity of seepage pore distribution. In the mercury removal stage, the M-model cannot characterize the heterogeneity of pore size distribution in each stage, which is slightly different from the mercury injection stage. (3) The permeability of Type A samples is most sensitive to pressure, with a permeability loss rate of up to 96%. The original pore and fracture structure of this type of coal sample is relatively developed, resulting in a high initial permeability. (4) There is no significant relationship between compressibility and fractal dimension of mercury injection and mercury removal, which may be due to the comprehensive influence of pore structure on the compressibility of the sample.
Pore and fracture structure heterogeneity is the basis for coalbed methane production capacity. In this paper, high-pressure mercury intrusion test curves of 16 coal samples from the Taiyuan Formation in the Linxing area are studied. Based on the fractal dimension values of mercury intrusion and retreat curves, the correlation between the two different fractal parameters is studied. Then, the permeability variation of different types of coal samples is studied using overlying pressure pore permeability tests. The correlation between the permeability variation of coal samples and dimension values is explored, and the results are as follows. (1) Based on porosity and mercury removal efficiency, all coal samples can be divided into three types, that is, types A, B, and C. Among them, Type A samples are characterized by lower total pore volume, with pore volume percentages ranging from 1000 to 10,000 nm not exceeding 15%. (2) During the mercury injection stage, both the M-model and S-model can reflect the heterogeneity of seepage pore distribution. In the mercury removal stage, the M-model cannot characterize the heterogeneity of pore size distribution in each stage, which is slightly different from the mercury injection stage. (3) The permeability of Type A samples is most sensitive to pressure, with a permeability loss rate of up to 96%. The original pore and fracture structure of this type of coal sample is relatively developed, resulting in a high initial permeability. (4) There is no significant relationship between compressibility and fractal dimension of mercury injection and mercury removal, which may be due to the comprehensive influence of pore structure on the compressibility of the sample.
Record ID
Keywords
coalbed methane reservoirs, fractal dimension, mercury intrusion, mercury removal, pore and fracture structure
Subject
Suggested Citation
Jiang X, Miao B, Zhang J, Xi D, Qin Z, Vandeginste V. Quantitative Characterization of Pore−Fracture Structures in Coal Reservoirs by Using Mercury Injection−Removal Curves and Permeability Variation under Their Constraints. (2024). LAPSE:2024.1790v1
Author Affiliations
Jiang X: Beijing Tianma Intelligent Control Technology Co., Ltd., Beijing 101399, China
Miao B: College of Resources, Shandong University of Science and Technology, Tai’an 271019, China [ORCID]
Zhang J: College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, China [ORCID]
Xi D: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China [ORCID]
Qin Z: Department of Mechanical, Materials and Manufacturing Engineering, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK
Vandeginste V: Department of Materials Engineering, KU Leuven, Campus Bruges, 8200 Bruges, Belgium
Miao B: College of Resources, Shandong University of Science and Technology, Tai’an 271019, China [ORCID]
Zhang J: College of Earth Sciences & Engineering, Shandong University of Science and Technology, Qingdao 266590, China [ORCID]
Xi D: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China [ORCID]
Qin Z: Department of Mechanical, Materials and Manufacturing Engineering, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK
Vandeginste V: Department of Materials Engineering, KU Leuven, Campus Bruges, 8200 Bruges, Belgium
Journal Name
Processes
Volume
12
Issue
7
First Page
1434
Year
2024
Publication Date
2024-07-09
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr12071434, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2024.1790v1
This Record
External Link

https://doi.org/10.3390/pr12071434
Publisher Version
Download
Meta
Record Statistics
Record Views
354
Version History
[v1] (Original Submission)
Aug 23, 2024
Verified by curator on
Aug 23, 2024
This Version Number
v1
Citations
Most Recent
This Version
URL Here
http://psecommunity.org/LAPSE:2024.1790v1
Record Owner
PSE Press
Links to Related Works
