Bayesian inversion of pressure diffusivity from microseismicity
Name
Poliannikov-2015-Bayesian inversion.pdf
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Author(s)
Poliannikov, Oleg V.
Prange, Michael
Djikpesse, Hugues
Malcolm, Alison E.
Fehler, Michael
Date Issued
June 2015
Journal
Geophysics
Publisher
Society of Exploration Geophysicists
Citation
Poliannikov, Oleg V., Michael Prange, Hugues Djikpesse, Alison E. Malcolm, and Michael Fehler. “Bayesian Inversion of Pressure Diffusivity from Microseismicity.” Geophysics 80, no. 4 (June 22, 2015): M43–M52. © 2015 Society of Exploration Geophysicists
Version
Final published version
Abstract
We have considered the problem of using microseismic data to characterize the flow of injected fluid during hydraulic fracturing. We have developed a simple probabilistic physical model that directly ties the fluid pressure in the subsurface during the injection to observations of induced microseismicity. This tractable model includes key physical parameters that affect fluid pressure, rock failure, and seismic wave propagation. It is also amenable to a rigorous uncertainty quantification analysis of the forward model and the inversion. We have used this probabilistic rock failure model to invert for fluid pressure during injection from synthetically generated microseismicity and to quantify the uncertainty of this inversion. The results of our analysis can be used to assess the effectiveness of microseismic monitoring in a given experiment and even to suggest ways to improve the quality and value of monitoring.
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Massachusetts Institute of Technology. Earth Resources Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1190/GEO2014-0374.1
