Focal Mechanism Determination using High Frequency, Full Waveform Information
In this research, we use high frequency waveform information to determine the focal mechanisms of small local earthquakes at an oil reservoir. During the waveform inversion, we maximize both the phase and amplitude matching between the observed and synthetic waveforms. In addition, we use the polari...
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Format: | Technical Report |
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Massachusetts Institute of Technology. Earth Resources Laboratory
2012
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Online Access: | http://hdl.handle.net/1721.1/68334 |
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author | Li, Junlun Zhang, Haijiang Kuleli, Huseyin Sadi Toksoz, M. Nafi |
author2 | Massachusetts Institute of Technology. Earth Resources Laboratory |
author_facet | Massachusetts Institute of Technology. Earth Resources Laboratory Li, Junlun Zhang, Haijiang Kuleli, Huseyin Sadi Toksoz, M. Nafi |
author_sort | Li, Junlun |
collection | MIT |
description | In this research, we use high frequency waveform information to determine the focal mechanisms of small local earthquakes at an oil reservoir. During the waveform inversion, we maximize both the phase and amplitude matching between the observed and synthetic waveforms. In addition, we use the polarities of the first P-wave arrivals and the S/P amplitude ratios to better constrain the matching between the synthetic and observed waveforms. The objective function is constructed to include all four criteria. Due to the complexity in the objective function, it is almost impossible to directly perform an inversion with derivative techniques. Instead, an optimized grid search method is used to search over all possible ranges of fault strike, dip and rake, as well as a predetermined range of earthquake locations. To speed up the algorithm, a library of Green‟s functions is pre-calculated for each of the moment tensor components and possible earthquake locations. Careful optimizations in filtering and cross-correlation are performed to further improve the grid search algorithm, such that no filtering and cross correlations are performed in searching through the parameter space of strike, dip, and rake. Consequently, speed is boosted tenfold by these optimizations in filtering and cross correlation. We apply the new method to induced seismic events in an oil reservoir. Satisfactory matching between synthetic and observed seismograms is obtained, as well as reasonable focal mechanisms, considering the local geological structure and possible causes for induced seismicity. |
first_indexed | 2024-09-23T15:31:58Z |
format | Technical Report |
id | mit-1721.1/68334 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T15:31:58Z |
publishDate | 2012 |
publisher | Massachusetts Institute of Technology. Earth Resources Laboratory |
record_format | dspace |
spelling | mit-1721.1/683342019-04-11T09:46:23Z Focal Mechanism Determination using High Frequency, Full Waveform Information Li, Junlun Zhang, Haijiang Kuleli, Huseyin Sadi Toksoz, M. Nafi Massachusetts Institute of Technology. Earth Resources Laboratory Li, Junlun Zhang, Haijiang Kuleli, Huseyin Sadi Toksoz, M. Nafi Microseismic Inversion In this research, we use high frequency waveform information to determine the focal mechanisms of small local earthquakes at an oil reservoir. During the waveform inversion, we maximize both the phase and amplitude matching between the observed and synthetic waveforms. In addition, we use the polarities of the first P-wave arrivals and the S/P amplitude ratios to better constrain the matching between the synthetic and observed waveforms. The objective function is constructed to include all four criteria. Due to the complexity in the objective function, it is almost impossible to directly perform an inversion with derivative techniques. Instead, an optimized grid search method is used to search over all possible ranges of fault strike, dip and rake, as well as a predetermined range of earthquake locations. To speed up the algorithm, a library of Green‟s functions is pre-calculated for each of the moment tensor components and possible earthquake locations. Careful optimizations in filtering and cross-correlation are performed to further improve the grid search algorithm, such that no filtering and cross correlations are performed in searching through the parameter space of strike, dip, and rake. Consequently, speed is boosted tenfold by these optimizations in filtering and cross correlation. We apply the new method to induced seismic events in an oil reservoir. Satisfactory matching between synthetic and observed seismograms is obtained, as well as reasonable focal mechanisms, considering the local geological structure and possible causes for induced seismicity. Massachusetts Institute of Technology. Earth Resources Laboratory 2012-01-12T19:10:31Z 2012-01-12T19:10:31Z 2009 Technical Report http://hdl.handle.net/1721.1/68334 Earth Resources Laboratory Industry Consortia Annual Report;2009-06 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory |
spellingShingle | Microseismic Inversion Li, Junlun Zhang, Haijiang Kuleli, Huseyin Sadi Toksoz, M. Nafi Focal Mechanism Determination using High Frequency, Full Waveform Information |
title | Focal Mechanism Determination using High Frequency, Full Waveform Information |
title_full | Focal Mechanism Determination using High Frequency, Full Waveform Information |
title_fullStr | Focal Mechanism Determination using High Frequency, Full Waveform Information |
title_full_unstemmed | Focal Mechanism Determination using High Frequency, Full Waveform Information |
title_short | Focal Mechanism Determination using High Frequency, Full Waveform Information |
title_sort | focal mechanism determination using high frequency full waveform information |
topic | Microseismic Inversion |
url | http://hdl.handle.net/1721.1/68334 |
work_keys_str_mv | AT lijunlun focalmechanismdeterminationusinghighfrequencyfullwaveforminformation AT zhanghaijiang focalmechanismdeterminationusinghighfrequencyfullwaveforminformation AT kulelihuseyinsadi focalmechanismdeterminationusinghighfrequencyfullwaveforminformation AT toksozmnafi focalmechanismdeterminationusinghighfrequencyfullwaveforminformation |