EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography


This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-wave velocity (km/s), P-wave velocity quality indicator (1 for well-constrained; 0 for poorly constrained), S-wave velocity (km/s), and S-wave velocity quality indicator (1 for well-constrained; 0 for poorly constrained). The Updated_MEQ_catalog text file contains event origin time, x(m), y(m), z(m), error in x (m), error in y (m), error in z (m), and RMS misfit (millisecond). The 3D_seismic_P-wave_velocity_model animation file shows slices of the 3D P-wave velocity model. The 3D_seismic_S-wave_velocity_model animation file shows slices of the 3D S-wave velocity model. The Interactive_MEQ_locations API file is an interactive visualization of the updated microseismic event locations. The visualization allows users to view the event locations by dragging, rotating, and zooming in.

Chai, C., Maceira, M., Santos-Villalobos, H. J., Venkatakrishnan, S. V., Schoenball, M., and EGS Collab Team, 2020, Automatic Seismic Phase Picking Using Deep Learning for the EGS Collab Project, in PROCEEDINGS, 45th Workshop on Geothermal Reservoir Engineering, edited, Stanford University, Stanford, California, 45, 1266-1276.

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Additional Info

DOE Project Name: EGS Collab
DOE Project Number: EE0032708
DOE Project Lead: Lauren Boyd
DOI: 10.15121/1632061
Last Updated: 4 months ago
Data from April, 2020
Submitted Apr 20, 2020


Oak Ridge National Laboratory



Publicly accessible License 


Chengping Chai
Oak Ridge National Laboratory
Monica Maceira
Oak Ridge National Laboratory
Hector Santos-Villalobos
Oak Ridge National Laboratory
Martin Schoenball
Lawrence Berkeley National Laboratory
Singanallur Venkatakrishnan
Oak Ridge National Laboratory


geothermal, energy, EGS Collab, 3D seismic structure, transfer learning, deep learning, machine learning, interactive, SURF, P-wave, S-wave, microseismic catalog, seismic tomography, interactive visualization, geophysics, modeling, velocity, model, microseismicity, catalog, transfer-learning, double-difference tomography, 3D, seismic, MEQ, processed data, geospatial data


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