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Numerical Modeling of Hydrofracturing Using the Damage Theory

  • Alice GuestEmail author
  • Antonin Settari
Conference paper
Part of the Springer Series in Geomechanics and Geoengineering book series (SSGG, volume 11)

Abstract

Hydraulic fracturing is a field technology widely used in the petroleum industry in order to increase the effective permeability of the reservoir and thus the production of gas by fracturing the rock by an injection of fluid. Hydrofracturing is often being monitored by detecting and analyzing microseismic events. We present a numerical technique that simulates the occurrence of microseismic events and their deformation modes during hydrofracturing and thus allows us to improve our understanding of hydrofracturing-related microseismicity. We can explain the time and spatial spread in the location of seismic events by the heterogeneity of the reservoir and the variability in the deformation modes as a natural process reflecting the reorganization of stresses in an elastic medium. We show that microseismic activity reflects the macroscopic description of hydrofracturing as a tensile crack even in highly heterogeneous reservoirs.

Keywords

Hydraulic fracturing Microseismicity Seismic moment tensors Numerical modeling Isotropic damage theory 

References

  1. K. Aki, P. Richards, Quantitative Seismology (University Science Books, Sausalito, CA, 2002)Google Scholar
  2. A. Baig, T. Urbancic, Microseismic moment tensors: a path to understanding frac growth. Leading Edge 29, 320–324 (Mar 2010)Google Scholar
  3. J.F. Hazzard, R.P. Young, Moment tensors and micromechanical models. Tectonophysics 356, 181–197 (2002)Google Scholar
  4. J.A. Hudson, R.G. Pearce, R.M. Rogers, Source type plot for inversion of the moment tensors. J. Geophys. Res. 94, 765–774 (1989)CrossRefGoogle Scholar
  5. A. Settari, R. B. Sullivan, D.A. Walters, 3-D analysis and prediction of microseismicity in fracturing by coupled geomechanical modeling, SPE 75714 (2002)Google Scholar
  6. C.A. Tang, P.K. Kaiser, Numerical simulation of cumulative damage and seismic energy release during brittle rock failure – Part I: fundamentals. Int. J. Rock Mech. Min. Sci. 35, 113–121 (1998)CrossRefGoogle Scholar
  7. T. Wong, R.H.C. Wong, K.T. Chau, C.A. Tang, Microcrack statistics, Weibull distribution and micromechanical modeling of compressive failure in rock. Mech. Mater. 38, 664–681 (2006). doi:10.1016/j.mechmat.2005.12.002Google Scholar
  8. W.C. Zhu, C.A. Tang, Micromechanical model for simulating the fracture process of rock. Rock Mech. Rock Eng. 37, 25–56 (2004)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Department of GeoscienceUniversity of CalgaryCalgaryCanada
  2. 2.CalgaryCanada
  3. 3.Department of Chemical and Petroleum Engineering, The Schoolich School of EngineeringUniversity of CalgaryCalgaryCanada

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