Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio

Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio

Bibliographic Details
Main Author: Chiorini, Sutton
Language:English
Published: Miami University / OhioLINK 2019
Subjects:
Geological
Geology
Geophysical
Geophysics
induced seismicity machine learning algorithm signal processing matlab earthquakes ohio hydraulic fracturing wastewater disposal harrison monroe washington
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=miami1575050124689057
id ndltd-OhioLink-oai-etd.ohiolink.edu-miami1575050124689057
record_format oai_dc
spelling ndltd-OhioLink-oai-etd.ohiolink.edu-miami15750501246890572021-08-03T07:13:26Z Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio Chiorini, Sutton Geological Geology Geophysical Geophysics induced seismicity machine learning algorithm signal processing matlab earthquakes ohio hydraulic fracturing wastewater disposal harrison monroe washington Induced seismicity has become a major issue with the increase in both hydraulic fracturing and disposal of leftover wastewater. Regulatory methods such as traffic light systems mitigate the impact of induced events, but do not predict when and where they will occur. Previous methods to identify induced seismicity (e.g. Caffagni et al., 2016; Yoon et al., 2015; Beauce et al. 2017) are effective, but require heavy computational requirements and/or multiple sensors to produce viable results. A computationally efficient Repeating Signal Detector (RSD) was recently developed to identify similar waveforms in continuous seismic data using a single seismometer. Instead of relying on a priori templates, RSD identifies repeating signals of interest (SoI) and then performs agglomerative clustering, resulting in a significantly faster processing time than other approaches. However, as RSD detects any repeating signal, not limited to earthquakes, the current study focuses on distinguishing repetitive seismicity from repetitive noise. In Central-eastern Ohio, the most effective approach has been to apply discriminants to resulting families post-cross-correlational routine, while in Southeastern Ohio, culling the SoI prior to clustering has been most effective. The successful methods for discrimination we constructed were based on signal characteristics such as relative amplitudes and correlation coefficients between components. 2019-12-01 English text Miami University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=miami1575050124689057 http://rave.ohiolink.edu/etdc/view?acc_num=miami1575050124689057 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Geological
Geology
Geophysical
Geophysics
induced seismicity machine learning algorithm signal processing matlab earthquakes ohio hydraulic fracturing wastewater disposal harrison monroe washington
spellingShingle Geological
Geology
Geophysical
Geophysics
induced seismicity machine learning algorithm signal processing matlab earthquakes ohio hydraulic fracturing wastewater disposal harrison monroe washington
Chiorini, Sutton
Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio
author Chiorini, Sutton
author_facet Chiorini, Sutton
author_sort Chiorini, Sutton
title Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio
title_short Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio
title_full Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio
title_fullStr Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio
title_full_unstemmed Strategies for Discriminating Earthquakes Using a Repeating Signal Detector to Investigate Induced Seismicity in Eastern Ohio
title_sort strategies for discriminating earthquakes using a repeating signal detector to investigate induced seismicity in eastern ohio
publisher Miami University / OhioLINK
publishDate 2019
url http://rave.ohiolink.edu/etdc/view?acc_num=miami1575050124689057
work_keys_str_mv AT chiorinisutton strategiesfordiscriminatingearthquakesusingarepeatingsignaldetectortoinvestigateinducedseismicityineasternohio
_version_ 1719456622462369792

Similar Items