Published July 30, 2024 | Version PhD

Codes, Catalogues and Data for "Deep Learning Phase Pickers: How Well Can Existing Models Detect Hydraulic-Fracturing Induced Seismicity from a Downhole Array"

Authors/Creators

  • 1. ROR icon University of Bristol
  • 1. ROR icon University of Bristol
  • 2. ROR icon British Geological Survey

Description

Codes, Catalogues and Data available for: 
"Deep Learning Phase Pickers: How Well Can Existing Models Detect Hydraulic-Fracturing Induced Seismicity from a Downhole Array"

Catalog folder: Contains the CMM (beam-forming based) event catalogue as well as event and station information for the PNR-1z site.

Classification Test folder: Jupyter notebooks that run the classification tests and mseed input data of isolated phases (P, S, Noise).

DL_model_catalogues folder: Contains full catalogues for each DL phase picker (GPD, U-GPD, EQT and PhaseNet) and the LinMEF-filtered catalogues.

Model_run_docs folder: Util/core files for PhaseNet and EQTransformer to read data with different sampling frequencies (i.e., not 100 Hz)

Data folder: Contains one hour of continuous downhole data (11th December 2018, 9am-10am) from the PNR-1z dataset.

Files

cindylimsy/PNR_run-PhD.zip

Files (3.3 GB)

Name Size
md5:1843ac7e658b5b121e1025d54dd30515
3.3 GB Preview Download

Additional details

Related works

Software

Repository URL
https://github.com/cindylimsy/PNR_run/tree/PhD
Programming language
Python