LAPSE:2023.29791
Published Article

LAPSE:2023.29791
Fractal Characterization of Complex Hydraulic Fractures in Oil Shale via Topology
April 13, 2023
Abstract
The formation of complex fracture networks through the fracturing technology is a crucial operation used to improve the production capacity of tight gas/oil. In this study, physical simulation experiments of hydraulic fracturing were conducted with a true triaxial test system on cubic shale oil samples from the Yanchang Formation, China. The fractures were scanned by CT both before and after the experiments and then reconstructed in 3D. The complexity of fracture networks was investigated quantitatively by the fractal theory with topology. Finally, the effect of the horizontal stress ratio, fluid viscosity, and natural fractures on the complexity of the fracture networks was discussed. The results indicate that the method based on fractal theory and topology can effectively characterize the complexity of the fracture network. The change rates of the fractal dimension (K) are 0.45−3.64%, and the fractal dimensions (DNH) of the 3D fracture network after fracturing are 1.9522−2.1837, the number of connections per branch after fracturing (CB) are 1.57−2.0. The change rate of the fractal dimension and the horizontal stress ratio are negatively correlated. However, the change rate of the fractal dimension first increases and then decreases under increasing fluid viscosities, and a transition occurs at a fluid viscosity of 5.0 mPa·s. Whether under different horizontal stress ratios or fluid viscosities, the complexity of the fracture networks after fracturing can be divided into four levels according to DNH and CB. Complex fracture networks are more easily formed under a lower horizontal stress ratio and a relatively low fluid viscosity. A fracturing fluid viscosity that is too low or too high limits the formation of a fracture network.
The formation of complex fracture networks through the fracturing technology is a crucial operation used to improve the production capacity of tight gas/oil. In this study, physical simulation experiments of hydraulic fracturing were conducted with a true triaxial test system on cubic shale oil samples from the Yanchang Formation, China. The fractures were scanned by CT both before and after the experiments and then reconstructed in 3D. The complexity of fracture networks was investigated quantitatively by the fractal theory with topology. Finally, the effect of the horizontal stress ratio, fluid viscosity, and natural fractures on the complexity of the fracture networks was discussed. The results indicate that the method based on fractal theory and topology can effectively characterize the complexity of the fracture network. The change rates of the fractal dimension (K) are 0.45−3.64%, and the fractal dimensions (DNH) of the 3D fracture network after fracturing are 1.9522−2.1837, the number of connections per branch after fracturing (CB) are 1.57−2.0. The change rate of the fractal dimension and the horizontal stress ratio are negatively correlated. However, the change rate of the fractal dimension first increases and then decreases under increasing fluid viscosities, and a transition occurs at a fluid viscosity of 5.0 mPa·s. Whether under different horizontal stress ratios or fluid viscosities, the complexity of the fracture networks after fracturing can be divided into four levels according to DNH and CB. Complex fracture networks are more easily formed under a lower horizontal stress ratio and a relatively low fluid viscosity. A fracturing fluid viscosity that is too low or too high limits the formation of a fracture network.
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Keywords
3D fracture networks, fractal theory, hydraulic fracturing, shale oil, topology
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Suggested Citation
He Q, He B, Li F, Shi A, Chen J, Xie L, Ning W. Fractal Characterization of Complex Hydraulic Fractures in Oil Shale via Topology. (2023). LAPSE:2023.29791
Author Affiliations
He Q: College of Architecture and Environment, Sichuan University, Chengdu 610065, China
He B: College of Architecture and Environment, Sichuan University, Chengdu 610065, China; Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu 610207, China
Li F: State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Research Institute of Petroleum Exploration and Development of SINOPEC, Beijing 100038, China
Shi A: State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Research Institute of Petroleum Exploration and Development of SINOPEC, Beijing 100038, China
Chen J: College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Xie L: College of Architecture and Environment, Sichuan University, Chengdu 610065, China; Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu 610207, China
Ning W: College of Architecture and Environment, Sichuan University, Chengdu 610065, China
He B: College of Architecture and Environment, Sichuan University, Chengdu 610065, China; Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu 610207, China
Li F: State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Research Institute of Petroleum Exploration and Development of SINOPEC, Beijing 100038, China
Shi A: State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Research Institute of Petroleum Exploration and Development of SINOPEC, Beijing 100038, China
Chen J: College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Xie L: College of Architecture and Environment, Sichuan University, Chengdu 610065, China; Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu 610207, China
Ning W: College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Journal Name
Energies
Volume
14
Issue
4
First Page
1123
Year
2021
Publication Date
2021-02-20
ISSN
1996-1073
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PII: en14041123, Publication Type: Journal Article
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LAPSE:2023.29791
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https://doi.org/10.3390/en14041123
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