Comprehensive study of seismic waveform similarity: applications to reliable identification of repeating earthquakes and investigations of detailed source process of induced seismicity

This Ph.D. dissertation focuses on a comprehensive study of seismic waveform similarity aiming at two themes: (1) reliable identification of repeating earthquakes (repeaters) and (2) investigation of the detailed source process of induced seismicity through the three-dimensional spatiotemporal evolu...

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Bibliographic Details
Main Author: Gao, Dawei
Other Authors: Kao, Honn
Format: Others
Language:English
en
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/1828/12945
id ndltd-uvic.ca-oai-dspace.library.uvic.ca-1828-12945
record_format oai_dc
collection NDLTD
language English
en
format Others
sources NDLTD
topic Waveform Similarity
Repeating Earthquakes
Induced Seismicity
Match filtering
Differential traveltime double-difference (DTDD)
Multisegment cross-correlation
Hydraulic fracturing
Delayed triggering
spellingShingle Waveform Similarity
Repeating Earthquakes
Induced Seismicity
Match filtering
Differential traveltime double-difference (DTDD)
Multisegment cross-correlation
Hydraulic fracturing
Delayed triggering
Gao, Dawei
Comprehensive study of seismic waveform similarity: applications to reliable identification of repeating earthquakes and investigations of detailed source process of induced seismicity
description This Ph.D. dissertation focuses on a comprehensive study of seismic waveform similarity aiming at two themes: (1) reliable identification of repeating earthquakes (repeaters) and (2) investigation of the detailed source process of induced seismicity through the three-dimensional spatiotemporal evolution of mainly neighbouring earthquakes. Theme 1: Reliable identification of repeaters. Repeaters, occurring repeatedly on the same fault patch with nearly identical waveforms, are usually identified with the match-filtering (MF) method which essentially measures the degree of waveform similarity between an earthquake pair through the corresponding cross-correlation coefficient (CC). However, the performance of the MF method can be severely affected by the length of the cross‐correlation window, the frequency band of the applied digital filter, and the presence of a large‐amplitude wave train. To optimize the performance of MF, I first examine the effects of different operational parameters and determine generic rules for selecting the window length and the optimal frequency passband. To minimize the impact of a large‐amplitude wave train, I then develop a new method, named the match-filtering with multisegment cross-correlation (MFMC) method. By equally incorporating the contributions from various segments of the waveforms, the new method is much more effective in capturing the minor waveform discrepancy between an event pair due to location difference and hence is more reliable in detecting potential repeaters and discriminating non-repeaters with large inter-event separation. With both synthetic and borehole array waveform data, I further reveal that waveform similarity is controlled by not only the inter-event separation but also many other factors, including station azimuth, epicentral distance, velocity structure, etc. Therefore, in contrast to the traditional view, the results indicate that waveform similarity alone is insufficient to unambiguously identify true repeaters. For reliable repeater identification, we should rely on a physics-based approach considering both the overlapped source area and magnitude difference. Specifically, I define an event pair to be true repeaters if their inter-event separation is smaller than the rupture radius of the larger event and their magnitude difference is no more than 1. For the precise estimation of inter-event distance in cases of limited data, I develop the differential traveltime double-difference (DTDD) method which relies on the relative S-P differential traveltime. The findings of this study imply that previously identified repeaters and their interpretations/hypotheses potentially can be biased and hence may need a systematic reexamination. Theme 2: Investigation of the detailed source process of induced seismicity. Earthquakes induced by hydraulic fracturing (HF), especially those with large magnitudes, are often observed to have occurred near/after well completion. The delayed triggering of induced seismicity with respect to injection commencement poses serious challenges for risk mitigation and hazard assessment. By performing waveform cross-correlation and hierarchical clustering analysis, I reveal a high-resolution three-dimensional source migration process with mainshock delayed triggering that is probably controlled by local hydrogeological conditions. The results suggest that poroelastic effects might contribute to induced seismicity but are likely insufficient to activate a non-critically stressed fault of sufficient size. My analysis shows that the rapid pore-pressure build-up from HF can be very localized and capable of producing large, felt earthquakes on non-critically stressed fault segments. I further infer that the number of critically stressed, large intraplate faults should be very limited, and that reactivation of such faults may require sufficient pore-pressure accumulation. The findings of this study may also explain why so few fluid injections are seismogenic. === Graduate
author2 Kao, Honn
author_facet Kao, Honn
Gao, Dawei
author Gao, Dawei
author_sort Gao, Dawei
title Comprehensive study of seismic waveform similarity: applications to reliable identification of repeating earthquakes and investigations of detailed source process of induced seismicity
title_short Comprehensive study of seismic waveform similarity: applications to reliable identification of repeating earthquakes and investigations of detailed source process of induced seismicity
title_full Comprehensive study of seismic waveform similarity: applications to reliable identification of repeating earthquakes and investigations of detailed source process of induced seismicity
title_fullStr Comprehensive study of seismic waveform similarity: applications to reliable identification of repeating earthquakes and investigations of detailed source process of induced seismicity
title_full_unstemmed Comprehensive study of seismic waveform similarity: applications to reliable identification of repeating earthquakes and investigations of detailed source process of induced seismicity
title_sort comprehensive study of seismic waveform similarity: applications to reliable identification of repeating earthquakes and investigations of detailed source process of induced seismicity
publishDate 2021
url http://hdl.handle.net/1828/12945
work_keys_str_mv AT gaodawei comprehensivestudyofseismicwaveformsimilarityapplicationstoreliableidentificationofrepeatingearthquakesandinvestigationsofdetailedsourceprocessofinducedseismicity
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spelling ndltd-uvic.ca-oai-dspace.library.uvic.ca-1828-129452021-05-06T17:26:34Z Comprehensive study of seismic waveform similarity: applications to reliable identification of repeating earthquakes and investigations of detailed source process of induced seismicity Gao, Dawei Kao, Honn Dosso, Stanley Edward Waveform Similarity Repeating Earthquakes Induced Seismicity Match filtering Differential traveltime double-difference (DTDD) Multisegment cross-correlation Hydraulic fracturing Delayed triggering This Ph.D. dissertation focuses on a comprehensive study of seismic waveform similarity aiming at two themes: (1) reliable identification of repeating earthquakes (repeaters) and (2) investigation of the detailed source process of induced seismicity through the three-dimensional spatiotemporal evolution of mainly neighbouring earthquakes. Theme 1: Reliable identification of repeaters. Repeaters, occurring repeatedly on the same fault patch with nearly identical waveforms, are usually identified with the match-filtering (MF) method which essentially measures the degree of waveform similarity between an earthquake pair through the corresponding cross-correlation coefficient (CC). However, the performance of the MF method can be severely affected by the length of the cross‐correlation window, the frequency band of the applied digital filter, and the presence of a large‐amplitude wave train. To optimize the performance of MF, I first examine the effects of different operational parameters and determine generic rules for selecting the window length and the optimal frequency passband. To minimize the impact of a large‐amplitude wave train, I then develop a new method, named the match-filtering with multisegment cross-correlation (MFMC) method. By equally incorporating the contributions from various segments of the waveforms, the new method is much more effective in capturing the minor waveform discrepancy between an event pair due to location difference and hence is more reliable in detecting potential repeaters and discriminating non-repeaters with large inter-event separation. With both synthetic and borehole array waveform data, I further reveal that waveform similarity is controlled by not only the inter-event separation but also many other factors, including station azimuth, epicentral distance, velocity structure, etc. Therefore, in contrast to the traditional view, the results indicate that waveform similarity alone is insufficient to unambiguously identify true repeaters. For reliable repeater identification, we should rely on a physics-based approach considering both the overlapped source area and magnitude difference. Specifically, I define an event pair to be true repeaters if their inter-event separation is smaller than the rupture radius of the larger event and their magnitude difference is no more than 1. For the precise estimation of inter-event distance in cases of limited data, I develop the differential traveltime double-difference (DTDD) method which relies on the relative S-P differential traveltime. The findings of this study imply that previously identified repeaters and their interpretations/hypotheses potentially can be biased and hence may need a systematic reexamination. Theme 2: Investigation of the detailed source process of induced seismicity. Earthquakes induced by hydraulic fracturing (HF), especially those with large magnitudes, are often observed to have occurred near/after well completion. The delayed triggering of induced seismicity with respect to injection commencement poses serious challenges for risk mitigation and hazard assessment. By performing waveform cross-correlation and hierarchical clustering analysis, I reveal a high-resolution three-dimensional source migration process with mainshock delayed triggering that is probably controlled by local hydrogeological conditions. The results suggest that poroelastic effects might contribute to induced seismicity but are likely insufficient to activate a non-critically stressed fault of sufficient size. My analysis shows that the rapid pore-pressure build-up from HF can be very localized and capable of producing large, felt earthquakes on non-critically stressed fault segments. I further infer that the number of critically stressed, large intraplate faults should be very limited, and that reactivation of such faults may require sufficient pore-pressure accumulation. The findings of this study may also explain why so few fluid injections are seismogenic. Graduate 2021-05-05T19:22:35Z 2021-05-05T19:22:35Z 2021 2021-05-05 Thesis http://hdl.handle.net/1828/12945 English en Available to the World Wide Web application/pdf