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.
References:
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.
Citation Formats
TY - DATA
AB - 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.
References:
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.
AU - Chai, Chengping
A2 - Maceira, Monica
A3 - Santos-Villalobos, Hector
A4 - Schoenball, Martin
A5 - Venkatakrishnan, Singanallur
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1632061
KW - geothermal
KW - energy
KW - EGS Collab
KW - 3D seismic structure
KW - transfer learning
KW - deep learning
KW - machine learning
KW - interactive
KW - SURF
KW - P-wave
KW - S-wave
KW - microseismic catalog
KW - seismic tomography
KW - interactive visualization
KW - geophysics
KW - modeling
KW - velocity
KW - model
KW - microseismicity
KW - catalog
KW - transfer-learning
KW - double-difference tomography
KW - 3D
KW - seismic
KW - MEQ
KW - processed data
KW - geospatial data
LA - English
DA - 2020/04/20
PY - 2020
PB - Oak Ridge National Laboratory
T1 - EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography
UR - https://doi.org/10.15121/1632061
ER -
Chai, Chengping, et al. EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography. Oak Ridge National Laboratory, 20 April, 2020, Geothermal Data Repository. https://doi.org/10.15121/1632061.
Chai, C., Maceira, M., Santos-Villalobos, H., Schoenball, M., & Venkatakrishnan, S. (2020). EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography. [Data set]. Geothermal Data Repository. Oak Ridge National Laboratory. https://doi.org/10.15121/1632061
Chai, Chengping, Monica Maceira, Hector Santos-Villalobos, Martin Schoenball, and Singanallur Venkatakrishnan. EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography. Oak Ridge National Laboratory, April, 20, 2020. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1632061
@misc{GDR_Dataset_1214,
title = {EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography},
author = {Chai, Chengping and Maceira, Monica and Santos-Villalobos, Hector and Schoenball, Martin and Venkatakrishnan, Singanallur},
abstractNote = {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.
References:
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.},
url = {https://gdr.openei.org/submissions/1214},
year = {2020},
howpublished = {Geothermal Data Repository, Oak Ridge National Laboratory, https://doi.org/10.15121/1632061},
note = {Accessed: 2025-04-22},
doi = {10.15121/1632061}
}
https://dx.doi.org/10.15121/1632061
Details
Data from Apr 20, 2020
Last updated Feb 17, 2025
Submitted Apr 20, 2020
Organization
Oak Ridge National Laboratory
Contact
Chengping Chai
865.241.1971
Authors
Keywords
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 dataDOE Project Details
Project Name EGS Collab
Project Lead Lauren Boyd
Project Number EE0032708