Update on an Automated Method to Improve Seismic Array Observations
Description:
We present advances in our Array QC method and an expansion on its potential utility. The method relies upon the singular value decomposition of seismic array channel waveforms in a jackknifing approach applied to sliding time windows, exploiting changes to the singular values of the system when intermittent noise contaminates a channel and potentially impacts the quality of array analysis results. This tool is written in Python and is driven by a GUI whose interface has recently been updated from Tkinter to PyQt5 for improved aesthetics, flexibility and functionality. We will discuss application of the tool to novel array and network systems, including such large datasets as DAS, SEG-Y supergathers or Large-N deployments.
Session: Exploiting Explosion Sources: Advancements in Seismic Source Physics [Poster]
Type: Poster
Date: 4/19/2023
Presentation Time: 08:00 AM (local time)
Presenting Author: Charlotte A. Rowe
Student Presenter: No
Invited Presentation:
Authors
Charlotte Rowe
Presenting Author
Corresponding Author
char@lanl.gov
Los Alamos National Laboratory
Clara Stanbury
cstanbu@lanl.gov
Los Alamos National Laboratory
Jeremy Webster
jwebster@lanl.gov
Los Alamos National Laboratory
Christine Gammans
cgammans@lanl.gov
Los Alamos National Laboratory
Update on an Automated Method to Improve Seismic Array Observations
Category
Exploiting Explosion Sources: Advancements in Seismic Source Physics