Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study
This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection survey and seismic velocity logs from borehole measurements as an input model. To improve the accuracy of the model in the shallow subsurface, travel times phase arrivals of the direct propagating P-waves were determined from the seismic reflection data, using PhaseNet, a deep-neural-network-based seismic arrival time picking method. The travel times were subsequently inverted using the input velocity model. The seismic resolution study used borehole and surface seismic sensors as well as the seismicity observed during the April 2022 stimulation experiment to estimate the seismic resolution in the activated fracture reservoir.
The data contain a 3D P- and S-wave velocity model for the larger FORGE area.
Citation Formats
TY - DATA
AB - This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection survey and seismic velocity logs from borehole measurements as an input model. To improve the accuracy of the model in the shallow subsurface, travel times phase arrivals of the direct propagating P-waves were determined from the seismic reflection data, using PhaseNet, a deep-neural-network-based seismic arrival time picking method. The travel times were subsequently inverted using the input velocity model. The seismic resolution study used borehole and surface seismic sensors as well as the seismicity observed during the April 2022 stimulation experiment to estimate the seismic resolution in the activated fracture reservoir.
The data contain a 3D P- and S-wave velocity model for the larger FORGE area.
AU - Vasco, Don
A2 - Chan, Coral
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1989942
KW - geothermal
KW - energy
KW - seismic velocity model
KW - seismic resolution
KW - 3D P-wave
KW - 3D S-wave
KW - seismic
KW - raw data
KW - processed data
KW - well 16A-32
KW - Utah FORGE
LA - English
DA - 2022/04/30
PY - 2022
PB - Array Information Technology
T1 - Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study
UR - https://doi.org/10.15121/1989942
ER -
Vasco, Don, and Coral Chan. Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study. Array Information Technology, 30 April, 2022, Geothermal Data Repository. https://doi.org/10.15121/1989942.
Vasco, D., & Chan, C. (2022). Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study. [Data set]. Geothermal Data Repository. Array Information Technology. https://doi.org/10.15121/1989942
Vasco, Don and Coral Chan. Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study. Array Information Technology, April, 30, 2022. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1989942
@misc{GDR_Dataset_1496,
title = {Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study},
author = {Vasco, Don and Chan, Coral},
abstractNote = {This is data from and a final report on the development of a 3D velocity model for the larger FORGE area and on the seismic resolution in the stimulated fracture volume at the bottom of well 16A-32. The velocity model was developed using RMS velocities of the seismic reflection survey and seismic velocity logs from borehole measurements as an input model. To improve the accuracy of the model in the shallow subsurface, travel times phase arrivals of the direct propagating P-waves were determined from the seismic reflection data, using PhaseNet, a deep-neural-network-based seismic arrival time picking method. The travel times were subsequently inverted using the input velocity model. The seismic resolution study used borehole and surface seismic sensors as well as the seismicity observed during the April 2022 stimulation experiment to estimate the seismic resolution in the activated fracture reservoir.
The data contain a 3D P- and S-wave velocity model for the larger FORGE area.},
url = {https://gdr.openei.org/submissions/1496},
year = {2022},
howpublished = {Geothermal Data Repository, Array Information Technology, https://doi.org/10.15121/1989942},
note = {Accessed: 2025-05-29},
doi = {10.15121/1989942}
}
https://dx.doi.org/10.15121/1989942
Details
Data from Apr 30, 2022
Last updated Aug 22, 2024
Submitted Apr 24, 2023
Organization
Array Information Technology
Contact
Roland Gritto
510.704.1848
Authors
Keywords
geothermal, energy, seismic velocity model, seismic resolution, 3D P-wave, 3D S-wave, seismic, raw data, processed data, well 16A-32, Utah FORGEDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080
