Bayesian moment tensor inversion and uncertainty quantification for induced seismicity: Uncertainties from both the location and velocity model
- Chen GU (Massachusetts Institute of Technology) | Youssef M. Marzouk (Massachusetts Institute of Technology) | M. Toksökz (Massachusetts Institute of Technology)
- Document ID
- Society of Exploration Geophysicists
- 2017 SEG International Exposition and Annual Meeting, 24-29 September, Houston, Texas
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Exploration Geophysicists
- Inversion, Microseismic, Induced seismicity, Faults, Passive acquisition
- 1 in the last 30 days
- 33 since 2007
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In many oil/gas fields and hydrofracking processes induced earthquakes result from fluid extraction or injection. The locations and source mechanisms of these earthquakes provide valuable information about the reservoirs. Analysis of induced seismic events has mostly assumed a double-couple source mechanism. However, recent studies have shown a non-negligible percentage of non-double-couple components of source moment tensors in hydraulic fracturing events. Without uncertainty quantification of the moment tensor solution, it is difficult to determine the reliability of these source models. This study develops a Bayesian method to perform waveform-based full moment tensor inversion and uncertainty quantification for the induced seismic events. We conduct tests with synthetic events to validate the method, and then apply our Bayesian inversion approach to real induced seismicity events.
Presentation Date: Tuesday, September 26, 2017
Start Time: 2:15 PM
Presentation Type: ORAL
|File Size||3 MB||Number of Pages||7|
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