2003 Seattle Annual Meeting (November 2–5, 2003)
Paper No. 66-10
Presentation Time: 11:00 AM-11:15 AM

DISCRETE FRACTURE NETWORK MODELING OF INDUCED SEISMICISTY

DERSHOWITZ, William, FracMan Technology Group, Golder Associates Inc, 18300 NE Union Hill Rd #200, Redmond, WA 98052, dersh@golder.com and LEE, Glori, FracMan Technology Group, Golder Associates Inc, 18300 NE Union Hill Rd, Redmond, WA 98052

Fluid injection and withdrawal frequently produce mico-seismicity, and occasionally produce more significant seismic events. In most of these cases, fluid pressures as well as temperature changes influence the stress state on pre-existing faults, leading to fault slip and consequent seismicity. The frequency and magnitude of this seismicity depends upon a combination of the pre-existing fracture and fault geometry, in situ stresses, and in situ pressures.

The discrete fracture network (DFN) approach is used to develop a 3D model for the faults and fractures affected by fluid injection and withdrawal. The frequency and magnitude of micro-seismicity depends on this geometry, particularly relative to the in situ stress field. The procedure for application of DFN technologies to evaluate and predict induced seismicity is as follows:

1) evaluate available structural data, including lineaments, stratigraphic models, and seismic structures to determine the faults which could be effected directly or indirectly by fluid injection; 2) evaluate the in situ stress field and previous seismic history if any to determine the stress states on potentially active faults; 3) simulate the flow field with injection and withdrawal within the DFN model to determine the change in pore-pressure on potentially active faults; 4) calculate thermo-elastic effects using the solution of Mossop and Segal (2002); 5) utilize empirical relationships to relate the change in shear and normal stress on potentially active faults to determine the potential change in frequency and magnitude of seismic events.

The advantage of this approach is that it directly utilizes the specific local fracture and fault information to analyses site specific induced seismicity potential.

This paper describes the development of the DFN approach described above, utilizing data from geothermal and reservoir sites in the US and Asia.

2003 Seattle Annual Meeting (November 2–5, 2003)
Session No. 66
M. King Hubbert at 100: The Enduring Contributions of Twentieth-Century Geology’s Renaissance Man
Washington State Convention and Trade Center: 602/603/604
8:00 AM-12:00 PM, Monday, November 3, 2003

Geological Society of America Abstracts with Programs, Vol. 35, No. 6, September 2003, p. 196

© Copyright 2003 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.