LAPSE:2023.6701
Published Article

LAPSE:2023.6701
Classification and Assessment of Core Fractures in a Post-Fracturing Conglomerate Reservoir Using the AHP−FCE Method
February 24, 2023
Abstract
To characterize the hydraulic fracture network of a conglomerate reservoir, a slant core well was drilled aimed to obtain direct information regarding hydraulic fractures through slant core at the conglomerate hydraulic fracturing test site (CHFTS). Core fracture classification was the fundamental issue of the project. In this study, three grade classifications for core fractures were proposed. Comprehensive classification of core fractures was carried out using the analytic hierarchy process (AHP)−fuzzy comprehensive evaluation (FCE) method. Finally, the fracture classification results were validated against numerical simulation. The grade-1 fracture classification included hydraulic fractures, drilling-induced fractures and core cutting-induced fractures. A total of 214 hydraulic fractures were observed. For the grade-2 classification, the hydraulic fractures were divided into 47 tensile fractures and 167 shear fractures. For the grade-3 classification, the shear fractures were subdivided into 45 tensile-shear fractures and 122 compression-shear fractures. Based on the numerical verification of the core fracture classifications, the dataset acquired was applied to analyze the spatial distribution of tensile and shear fractures. Results showed that the tensile fractures were mainly in the near-wellbore area with lateral distances of less than 20−25 m from the wellbore. The shear fractures were mainly in the far-wellbore area with lateral distances of 20−30 m from the wellbore. These results provide a basis for understanding the fracture types, density, and failure mechanisms of post-fracturing conglomerate reservoir.
To characterize the hydraulic fracture network of a conglomerate reservoir, a slant core well was drilled aimed to obtain direct information regarding hydraulic fractures through slant core at the conglomerate hydraulic fracturing test site (CHFTS). Core fracture classification was the fundamental issue of the project. In this study, three grade classifications for core fractures were proposed. Comprehensive classification of core fractures was carried out using the analytic hierarchy process (AHP)−fuzzy comprehensive evaluation (FCE) method. Finally, the fracture classification results were validated against numerical simulation. The grade-1 fracture classification included hydraulic fractures, drilling-induced fractures and core cutting-induced fractures. A total of 214 hydraulic fractures were observed. For the grade-2 classification, the hydraulic fractures were divided into 47 tensile fractures and 167 shear fractures. For the grade-3 classification, the shear fractures were subdivided into 45 tensile-shear fractures and 122 compression-shear fractures. Based on the numerical verification of the core fracture classifications, the dataset acquired was applied to analyze the spatial distribution of tensile and shear fractures. Results showed that the tensile fractures were mainly in the near-wellbore area with lateral distances of less than 20−25 m from the wellbore. The shear fractures were mainly in the far-wellbore area with lateral distances of 20−30 m from the wellbore. These results provide a basis for understanding the fracture types, density, and failure mechanisms of post-fracturing conglomerate reservoir.
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Keywords
analytical hierarchy process (AHP), CHFTS, fracture classification, fuzzy comprehensive evaluation (FCE), slant core well
Subject
Suggested Citation
Zhuo R, Ma X, Zhang S, Ma J, Xiang Y, Sun H. Classification and Assessment of Core Fractures in a Post-Fracturing Conglomerate Reservoir Using the AHP−FCE Method. (2023). LAPSE:2023.6701
Author Affiliations
Zhuo R: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China
Ma X: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China
Zhang S: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China
Ma J: Engineering Technology Research Institute, PetroChina Xinjiang Oilfield Company, Karamay 834000, China
Xiang Y: Engineering Technology Research Institute, PetroChina Xinjiang Oilfield Company, Karamay 834000, China
Sun H: Engineering Technology Research Institute, PetroChina Xinjiang Oilfield Company, Karamay 834000, China
Ma X: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China
Zhang S: State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China
Ma J: Engineering Technology Research Institute, PetroChina Xinjiang Oilfield Company, Karamay 834000, China
Xiang Y: Engineering Technology Research Institute, PetroChina Xinjiang Oilfield Company, Karamay 834000, China
Sun H: Engineering Technology Research Institute, PetroChina Xinjiang Oilfield Company, Karamay 834000, China
Journal Name
Energies
Volume
16
Issue
1
First Page
418
Year
2022
Publication Date
2022-12-29
ISSN
1996-1073
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PII: en16010418, Publication Type: Journal Article
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LAPSE:2023.6701
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https://doi.org/10.3390/en16010418
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