TY - JOUR
T1 - Probabilistic Integration of Geomechanical and Geostatistical Inferences for Mapping Natural Fracture Networks
AU - Chandna, Akshat
AU - Srinivasan, Sanjay
N1 - Funding Information:
The authors would like to acknowledge the support and funding from the Penn State Initiative for Geostatistics and Geo-Modeling Applications (PSIGGMA) and the member companies.
Publisher Copyright:
© 2023, International Association for Mathematical Geosciences.
PY - 2023/7
Y1 - 2023/7
N2 - Geomechanical modeling of the fracturing process accounts for the physical factors that inform the propagation and termination of the fractures. However, the resultant models may not honor the fracture statistics derived from auxiliary sources such as outcrop images. Stochastic algorithms, on the other hand, generate natural fracture maps based purely on statistical inferences from outcrop images excluding the effects of any physical processes guiding the propagation and termination of fractures. This paper, therefore, focuses on presenting a methodology for combining information from geomechanical and stochastic approaches necessary to obtain a fracture modeling approach that is geologically realistic as well as consistent with the geomechanical conditions for fracture propagation. As a prerequisite for this integration approach, a multi-point statistics-based stochastic simulation algorithm is implemented that yields the probability of fracture propagation along various paths. The application and effectiveness of this probability integration paradigm are demonstrated on a synthetic fracture set.
AB - Geomechanical modeling of the fracturing process accounts for the physical factors that inform the propagation and termination of the fractures. However, the resultant models may not honor the fracture statistics derived from auxiliary sources such as outcrop images. Stochastic algorithms, on the other hand, generate natural fracture maps based purely on statistical inferences from outcrop images excluding the effects of any physical processes guiding the propagation and termination of fractures. This paper, therefore, focuses on presenting a methodology for combining information from geomechanical and stochastic approaches necessary to obtain a fracture modeling approach that is geologically realistic as well as consistent with the geomechanical conditions for fracture propagation. As a prerequisite for this integration approach, a multi-point statistics-based stochastic simulation algorithm is implemented that yields the probability of fracture propagation along various paths. The application and effectiveness of this probability integration paradigm are demonstrated on a synthetic fracture set.
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U2 - 10.1007/s11004-022-10041-x
DO - 10.1007/s11004-022-10041-x
M3 - Article
AN - SCOPUS:85146397970
SN - 1874-8961
VL - 55
SP - 645
EP - 671
JO - Mathematical Geosciences
JF - Mathematical Geosciences
IS - 5
ER -