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Author:

Wang, S. (Wang, S..) | Zhou, J. (Zhou, J..) | Zhang, L. (Zhang, L..) | Han, Z. (Han, Z..) | Kong, Y. (Kong, Y..)

Indexed by:

EI Scopus SCIE

Abstract:

Abundant natural fractures (NFs) in hot dry rock (HDR) reservoirs serve as a crucial element in hydraulic fracturing technology and reservoir production. Nevertheless, the interaction mechanism between hydraulic fractures (HFs) and natural fracture networks (NFNs) remains poorly understood. This study combines the novel hydro-grain-based model (hydro-GBM) and discrete fracture network (DFN) model to investigate the effects of in-situ stress, fracture number, and fracture length on hydraulic fracturing behaviors in mineral-scale granite with NFNs. Results indicate that as the complexity of NFs increases, the stress shadow effect is amplified during HF propagation, while the spatial arrangement of NFs governs the propagation of secondary paths. Additionally, a downward trend is observed in average activity levels of acoustic emission (AE) events and proportions of large events within NFs and matrix. Damage and activation degrees in both NFs and matrix decrease with an increase in the number of NFs. The inability of main hydraulic paths to propagate over long distances can be attributed to the dispersion of fracturing fluid and the rapid decay of pressure within densely distributed, short NFs. These numerical findings shed light on the process of HFs activating NFNs and provide valuable insights for enhancing heat extraction efficiency in HDR reservoirs. © 2024

Keyword:

Natural fracture network Particle flow code Hot dry rock Fluid-solid coupling algorithm Grain-based model Hydraulic fracturing

Author Community:

  • [ 1 ] [Wang S.]Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
  • [ 2 ] [Wang S.]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Wang S.]College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
  • [ 4 ] [Wang S.]Innovation Academy for Earth Science, CAS, Beijing, 100029, China
  • [ 5 ] [Zhou J.]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Zhang L.]Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
  • [ 7 ] [Zhang L.]College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
  • [ 8 ] [Zhang L.]Innovation Academy for Earth Science, CAS, Beijing, 100029, China
  • [ 9 ] [Han Z.]Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
  • [ 10 ] [Han Z.]Innovation Academy for Earth Science, CAS, Beijing, 100029, China
  • [ 11 ] [Kong Y.]Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
  • [ 12 ] [Kong Y.]College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
  • [ 13 ] [Kong Y.]Innovation Academy for Earth Science, CAS, Beijing, 100029, China

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Source :

Energy

ISSN: 0360-5442

Year: 2024

Volume: 295

9 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 16

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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