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

- 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:
(2012) Statistical Analysis of Microseismic Event Characteristics to Monitor In-situ Stress ChangesMLA: Statistical Analysis of Microseismic Event Characteristics to Monitor In-situ Stress Changes. Canadian Institute of Mining, Metallurgy and Petroleum, 2012.