Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study

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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

Array Information Technology. (2022). Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study [data set]. Retrieved from https://dx.doi.org/10.15121/1989942.
Export Citation to RIS
Vasco, Don, Chan, Coral. Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study. United States: N.p., 30 Apr, 2022. Web. doi: 10.15121/1989942.
Vasco, Don, Chan, Coral. Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study. United States. https://dx.doi.org/10.15121/1989942
Vasco, Don, Chan, Coral. 2022. "Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study". United States. https://dx.doi.org/10.15121/1989942. https://gdr.openei.org/submissions/1496.
@div{oedi_1496, title = {Utah FORGE: Development of a Reservoir Seismic Velocity Model and Seismic Resolution Study}, author = {Vasco, Don, 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.}, doi = {10.15121/1989942}, url = {https://gdr.openei.org/submissions/1496}, journal = {}, number = , volume = , place = {United States}, year = {2022}, month = {04}}
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

Don Vasco

Lawrence Berkeley National Laboratory

Coral Chan

University of California Berkeley

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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