Optimising Earthquake Detection Methods in Delaware Basin, Southeastern New Mexico
Description:
Recent increases in seismicity due to anthropogenic activities in southeast New Mexico have demonstrated the need for timely earthquake detection and updated catalogs of seismicity in this region. Previously earthquake detection and location in this region was performed manually; automated methods can improve efficiency, accuracy, and completeness of earthquake catalogs, which is essential to understanding and reacting to induced seismicity. This study aims to test several existing automated earthquake detection tools such as the template matching technique and the Earthquake transformer machine learning tool to assess the efficiency of these tools in event detection within our seismic network in southeast New Mexico. The template matching tool uses a cross-correlation based scanning algorithm that compares known earthquake events to continuous time series data at a given station. The study will incorporate continuous waveform data of several seismic stations from multiple seismic networks such as New Mexico Tech seismic network, USGS, Nanometrics research network and Texas seismological network for the year 2021 and evaluate the detections from multiple stations to generate an earthquake detection catalog. We will also test a global deep leaning tool, the EQTransformer which simultaneously detects earthquakes and picks P and S phases on single station data at local epicentral distances using neural network mechanism on the same dataset. These automated detections from the two methods will then be compared with an earthquake catalog derived for the study period through manual analyst review. We will use these catalog comparisons, specifically the numbers of missed and false detections, in conjunction with ability to implement the automated tool within our routine network operations to select an appropriate automated tool for the network. This automation will advance our ability to provide the timely earthquake detection and location that is needed in this important region of the Delaware basin.
Session: Understanding and Managing Induced Seismicity [Poster]
Type: Poster
Date: 4/19/2023
Presentation Time: 08:00 AM (local time)
Presenting Author: Urbi Basu
Student Presenter: No
Invited Presentation:
Authors
Urbi Basu Presenting Author Corresponding Author urbi.basu@nmt.edu New Mexico Institute of Mining and Technology |
Susan Bilek susan.bilek@nmt.edu New Mexico Institute of Mining and Technology |
Mairi Litherland mairi.litherland@nmt.edu New Mexico Institute of Mining and Technology |
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Optimising Earthquake Detection Methods in Delaware Basin, Southeastern New Mexico
Category
Understanding and Managing Induced Seismicity