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

Publicly accessible License 

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 -
Export Citation to RIS
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

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

DOE Project Details

Project Name EGS Collab

Project Lead Lauren Boyd

Project Number EE0032708

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