LAPSE:2023.19157
Published Article

LAPSE:2023.19157
Numerical Investigation for Three-Dimensional Multiscale Fracture Networks Based on a Coupled Hybrid Model
March 9, 2023
Abstract
The mismatching between the multi-scale feature of complex fracture networks (CFNs) in unconventional reservoirs and their current numerical approaches is a conspicuous problem to be solved. In this paper, the CFNs are divided into hydraulic macro-fractures, induced fractures, and natural micro-fractures according to their mode of origin. A hybrid model coupling various numerical approaches is proposed to match the three-dimensional multi-scale fracture networks. The macro-fractures with high-conductivity and wide-aperture are explicitly characterized by a mimetic Green element method-based hierarchical fracture model. The induced fractures and natural micro-fractures that have features of low-conductivity and small-openings are upscaled to the dual-medium grid and enhanced matrix grid through the equivalent continuum-medium method, respectively. Subsequently, some benchmark cases are implemented to confirm the high-precision and high-robustness of the proposed hybrid model that indeed accomplishes accurate modeling of fluid flow in multi-scale CFNs by comparing with commercial software tNavigator®. Furthermore, an integrated workflow of simulation modeling for multiscale CFNs combined with a field example in Sichuan from China is used to analyzing the production information of fractured horizontal wells in shale gas reservoirs. Compared with the field production data from this typical well, it can be proved that the hybrid model has strong reliability and practicability.
The mismatching between the multi-scale feature of complex fracture networks (CFNs) in unconventional reservoirs and their current numerical approaches is a conspicuous problem to be solved. In this paper, the CFNs are divided into hydraulic macro-fractures, induced fractures, and natural micro-fractures according to their mode of origin. A hybrid model coupling various numerical approaches is proposed to match the three-dimensional multi-scale fracture networks. The macro-fractures with high-conductivity and wide-aperture are explicitly characterized by a mimetic Green element method-based hierarchical fracture model. The induced fractures and natural micro-fractures that have features of low-conductivity and small-openings are upscaled to the dual-medium grid and enhanced matrix grid through the equivalent continuum-medium method, respectively. Subsequently, some benchmark cases are implemented to confirm the high-precision and high-robustness of the proposed hybrid model that indeed accomplishes accurate modeling of fluid flow in multi-scale CFNs by comparing with commercial software tNavigator®. Furthermore, an integrated workflow of simulation modeling for multiscale CFNs combined with a field example in Sichuan from China is used to analyzing the production information of fractured horizontal wells in shale gas reservoirs. Compared with the field production data from this typical well, it can be proved that the hybrid model has strong reliability and practicability.
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Keywords
mimetic Green element method, multiscale fractures, reservoir simulation, three-dimensional fracture visualization
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Suggested Citation
Du X, Cheng L, Chen J, Cai J, Niu L, Cao R. Numerical Investigation for Three-Dimensional Multiscale Fracture Networks Based on a Coupled Hybrid Model. (2023). LAPSE:2023.19157
Author Affiliations
Du X: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China [ORCID]
Cheng L: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China
Chen J: Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China
Cai J: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China [ORCID]
Niu L: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China
Cao R: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China
Cheng L: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China
Chen J: Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China
Cai J: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China [ORCID]
Niu L: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China
Cao R: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China
Journal Name
Energies
Volume
14
Issue
19
First Page
6354
Year
2021
Publication Date
2021-10-05
ISSN
1996-1073
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Original Submission
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PII: en14196354, Publication Type: Journal Article
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LAPSE:2023.19157
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https://doi.org/10.3390/en14196354
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Mar 9, 2023
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