Statistical Analysis of Microseismic Event Characteristics to Monitor In-situ Stress Changes

Canadian Institute of Mining, Metallurgy and Petroleum
Melanie Grob
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
6
File Size:
1144 KB
Publication Date:
Jun 1, 2012

Abstract

Two commonly estimated fractal dimensions, called b and D values, represent statistical characteristics in the distribution of magnitude sizes (b) and spatial hypocenter locations (D) of microseismic events, respectively. We postulate that the values of b and D are related to specific stress regimes. Through different case studies of fluid injection into an oil/gas reservoir or geothermal field, we infer that the measured temporal variation in fractal dimension b is most likely due to significant changes in the local stress regime. The fracture dimension D indicates the spatial clustering of events. The distribution of these events can vary with time because of stress perturbations that (re)activate fractures whose direction favours their movement under a specific stress regime. Thus a combined statistical study of these two dimensions can help infer the variations of local stresses in a reservoir.
Citation

APA: Melanie Grob  (2012)  Statistical Analysis of Microseismic Event Characteristics to Monitor In-situ Stress Changes

MLA: Melanie Grob Statistical Analysis of Microseismic Event Characteristics to Monitor In-situ Stress Changes. Canadian Institute of Mining, Metallurgy and Petroleum, 2012.

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