TY - JOUR
T1 - Numerical simulation of hydraulic fracturing and associated microseismicity using finite-discrete element method
AU - Zhao, Qi
AU - Lisjak, Andrea
AU - Mahabadi, Omid
AU - Liu, Qinya
AU - Grasselli, Giovanni
N1 - Funding Information:
This work has been supported by the Natural Sciences and Engineering Research Council of Canada through Discovery Grant 341275 (G. Grasselli) and Engage EGP 461019-13 . The authors would like to thank the support and advice from the ESG Solutions.
Publisher Copyright:
© 2014 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - Hydraulic fracturing (HF) technique has been extensively used for the exploitation of unconventional oil and gas reservoirs. HF enhances the connectivity of less permeable oil and gas-bearing rock formations by fluid injection, which creates an interconnected fracture network and increases the hydrocarbon production. Meanwhile, microseismic (MS) monitoring is one of the most effective approaches to evaluate such stimulation process. In this paper, the combined finite-discrete element method (FDEM) is adopted to numerically simulate HF and associated MS. Several post-processing tools, including frequency-magnitude distribution (b-value), fractal dimension (D-value), and seismic events clustering, are utilized to interpret numerical results. A non-parametric clustering algorithm designed specifically for FDEM is used to reduce the mesh dependency and extract more realistic seismic information. Simulation results indicated that at the local scale, the HF process tends to propagate following the rock mass discontinuities; while at the reservoir scale, it tends to develop in the direction parallel to the maximum in-situ stress.
AB - Hydraulic fracturing (HF) technique has been extensively used for the exploitation of unconventional oil and gas reservoirs. HF enhances the connectivity of less permeable oil and gas-bearing rock formations by fluid injection, which creates an interconnected fracture network and increases the hydrocarbon production. Meanwhile, microseismic (MS) monitoring is one of the most effective approaches to evaluate such stimulation process. In this paper, the combined finite-discrete element method (FDEM) is adopted to numerically simulate HF and associated MS. Several post-processing tools, including frequency-magnitude distribution (b-value), fractal dimension (D-value), and seismic events clustering, are utilized to interpret numerical results. A non-parametric clustering algorithm designed specifically for FDEM is used to reduce the mesh dependency and extract more realistic seismic information. Simulation results indicated that at the local scale, the HF process tends to propagate following the rock mass discontinuities; while at the reservoir scale, it tends to develop in the direction parallel to the maximum in-situ stress.
KW - Clustering
KW - Finite-discrete element method (FDEM)
KW - Hydraulic fracturing (HF)
KW - Kernel density estimation (KDE)
KW - Microseismic (MS)
KW - Numerical simulation
UR - http://www.scopus.com/inward/record.url?scp=85006218244&partnerID=8YFLogxK
U2 - 10.1016/j.jrmge.2014.10.003
DO - 10.1016/j.jrmge.2014.10.003
M3 - Journal article
AN - SCOPUS:85006218244
SN - 1674-7755
VL - 6
SP - 574
EP - 581
JO - Journal of Rock Mechanics and Geotechnical Engineering
JF - Journal of Rock Mechanics and Geotechnical Engineering
IS - 6
ER -