DASCore: a Python Library for Distributed Fiber Optic Sensing

Authors

  • Derrick Chambers Spokane Mining Research Division, National Institute for Occupational Safety and Health
  • Ge Jin Department of Geophysics, Colorado School of Mines
  • Ahmad Tourei Department of Geophysics, Colorado School of Mines
  • Abdul Hafiz Saeed Issah Department of Applied Math and Statistics, Colorado School of Mines
  • Ariel Lellouch Geophysics Department, Tel Aviv University
  • Eileen Martin Department of Geophysics and Department of Applied Math and Statistics, Colorado School of Mines
  • Donglin Zhu Department of Geophysics, Colorado School of Mines
  • Aaron Girard Department of Geophysics, Colorado School of Mines
  • Shihao Yuan Department of Geophysics, Colorado School of Mines
  • Thomas Cullison Department of Geophysics, Stanford University
  • Tomas Snyder Department of Geophysics, Colorado School of Mines
  • Seunghoo Kim Department of Geophysics, Colorado School of Mines; Department of Geophysics, Stanford University
  • Nicholas Danes Cyber Infrastructure and Advanced Research Computing, Colorado School of Mines
  • Nikhil Punithan Department of Geophysics, Colorado School of Mines
  • M. Shawn Boltz Spokane Mining Research Division, National Institute for Occupational Safety and Health
  • Manuel M. Mendoza Cooperative Institute for Research in Environmental Sciences and Department of Geological Sciences, University of Colorado Boulder

DOI:

https://doi.org/10.26443/seismica.v3i2.1184

Keywords:

DAS, Python, Open-source software

Abstract

In the past decade, distributed acoustic sensing (DAS) has enabled many new monitoring applications in diverse fields including hydrocarbon exploration and extraction; induced, local, regional, and global seismology; infrastructure and urban monitoring; and several others. However, to date, the open-source software ecosystem for handling DAS data is relatively immature. Here we introduce DASCore, a Python library for analyzing, visualizing, and managing DAS data. DASCore implements an object-oriented interface for performing common data processing and transformations, reading and writing various DAS file types, creating simple visualizations, and managing file system-based DAS archives. DASCore also integrates with other Python-based tools which enable the processing of massive data sets in cloud environments. DASCore is the foundational package for the broader DAS data analysis ecosystem (DASDAE), and as such its main goal is to facilitate the development of other DAS libraries and applications.

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Published

2024-07-30

How to Cite

Chambers, D., Jin, G., Tourei, A., Saeed Issah, A. H., Lellouch, A., Martin, E., Zhu, D., Girard, A., Yuan, S., Cullison, T., Snyder, T., Kim, S., Danes, N., Punithan, N., Boltz, M. S., & Mendoza, M. M. (2024). DASCore: a Python Library for Distributed Fiber Optic Sensing. Seismica, 3(2). https://doi.org/10.26443/seismica.v3i2.1184

Issue

Vol. 3 No. 2 (2024)

Section

Reports (excl. Fast Reports)

License

Copyright (c) 2024 Derrick Chambers, Ge Jin, Ahmad Tourei, Abdul Hafiz Saeed Issah, Ariel Lellouch, Eileen Martin, Donglin Zhu, Aaron Girard, Shihao Yuan, Thomas Cullison, Tomas Snyder, Seunghoo Kim, Nicholas Danes, Nikhil Punithan, M. Shawn Boltz, Manuel M. Mendoza

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This work is licensed under a Creative Commons Attribution 4.0 International License.