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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Main Authors: Li, Junlun, Zhang, Haijiang, Kuleli, Huseyin Sadi, Toksoz, M. Nafi
Other Authors: Massachusetts Institute of Technology. Earth Resources Laboratory
Format: Technical Report
Published: Massachusetts Institute of Technology. Earth Resources Laboratory 2012
Subjects:
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.
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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