Cape EGS and Utah FORGE: Empirical 3D Seismic Velocity Model

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This dataset provides an empirical three-dimensional P- and S-wave velocity model covering a 30 x 30 km area and extending to 10 km depth around the Cape Modern EGS and Utah FORGE sites. It incorporates three-dimensional topography and a sediment/basement contact derived from geophysical and geological datasets collected by Utah FORGE or Fervo Energy. Basin velocities were estimated from a logarithmic fit to borehole velocity logs, while basement velocities were assigned constant values of 5.8 km/s for Vp and 3.392 km/s for Vs. No geophysical data inversion was performed in constructing this model.

The dataset includes a manuscript describing the methods used to develop the model. The velocity model is provided in NetCDF format. Users will need software capable of reading NetCDF files. Common scientific libraries support this format without requiring proprietary tools. We recommend the Xarray package for Python, where methods like open_dataset() and .sel().plot() can be used to read and plot the data.

Citation Formats

TY - DATA AB - This dataset provides an empirical three-dimensional P- and S-wave velocity model covering a 30 x 30 km area and extending to 10 km depth around the Cape Modern EGS and Utah FORGE sites. It incorporates three-dimensional topography and a sediment/basement contact derived from geophysical and geological datasets collected by Utah FORGE or Fervo Energy. Basin velocities were estimated from a logarithmic fit to borehole velocity logs, while basement velocities were assigned constant values of 5.8 km/s for Vp and 3.392 km/s for Vs. No geophysical data inversion was performed in constructing this model. The dataset includes a manuscript describing the methods used to develop the model. The velocity model is provided in NetCDF format. Users will need software capable of reading NetCDF files. Common scientific libraries support this format without requiring proprietary tools. We recommend the Xarray package for Python, where methods like open_dataset() and .sel().plot() can be used to read and plot the data. AU - Nakata, Nori A2 - Hopp, Chet A3 - Wu, Sin-Mei A4 - Robertson, Michelle A5 - Dadi, Sireesh DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - KW - geothermal KW - energy KW - velocity KW - Cape Modern KW - seismic KW - seismic velocity KW - velocity model KW - P-wave KW - S-wave KW - Utah FORGE KW - enhanced geothermal systems KW - EGS KW - Cape EGS KW - subsurface characterization KW - NetCDF KW - borehole velocity KW - empirical model KW - 3d model LA - English DA - 2025/11/12 PY - 2025 PB - Lawrence Berkeley National Laboratory T1 - Cape EGS and Utah FORGE: Empirical 3D Seismic Velocity Model UR - https://gdr.openei.org/submissions/1800 ER -
Export Citation to RIS
Nakata, Nori, et al. Cape EGS and Utah FORGE: Empirical 3D Seismic Velocity Model. Lawrence Berkeley National Laboratory, 12 November, 2025, Geothermal Data Repository. https://gdr.openei.org/submissions/1800.
Nakata, N., Hopp, C., Wu, S., Robertson, M., & Dadi, S. (2025). Cape EGS and Utah FORGE: Empirical 3D Seismic Velocity Model. [Data set]. Geothermal Data Repository. Lawrence Berkeley National Laboratory. https://gdr.openei.org/submissions/1800
Nakata, Nori, Chet Hopp, Sin-Mei Wu, Michelle Robertson, and Sireesh Dadi. Cape EGS and Utah FORGE: Empirical 3D Seismic Velocity Model. Lawrence Berkeley National Laboratory, November, 12, 2025. Distributed by Geothermal Data Repository. https://gdr.openei.org/submissions/1800
@misc{GDR_Dataset_1800, title = {Cape EGS and Utah FORGE: Empirical 3D Seismic Velocity Model}, author = {Nakata, Nori and Hopp, Chet and Wu, Sin-Mei and Robertson, Michelle and Dadi, Sireesh}, abstractNote = {This dataset provides an empirical three-dimensional P- and S-wave velocity model covering a 30 x 30 km area and extending to 10 km depth around the Cape Modern EGS and Utah FORGE sites. It incorporates three-dimensional topography and a sediment/basement contact derived from geophysical and geological datasets collected by Utah FORGE or Fervo Energy. Basin velocities were estimated from a logarithmic fit to borehole velocity logs, while basement velocities were assigned constant values of 5.8 km/s for Vp and 3.392 km/s for Vs. No geophysical data inversion was performed in constructing this model.

The dataset includes a manuscript describing the methods used to develop the model. The velocity model is provided in NetCDF format. Users will need software capable of reading NetCDF files. Common scientific libraries support this format without requiring proprietary tools. We recommend the Xarray package for Python, where methods like open_dataset() and .sel().plot() can be used to read and plot the data.}, url = {https://gdr.openei.org/submissions/1800}, year = {2025}, howpublished = {Geothermal Data Repository, Lawrence Berkeley National Laboratory, https://gdr.openei.org/submissions/1800}, note = {Accessed: 2025-12-04} }

Details

Data from Nov 12, 2025

Last updated Nov 17, 2025

Submitted Nov 12, 2025

Organization

Lawrence Berkeley National Laboratory

Contact

Chet Hopp

Authors

Nori Nakata

Lawrence Berkeley National Laboratory

Chet Hopp

Lawrence Berkeley National Laboratory

Sin-Mei Wu

Lawrence Berkeley National Laboratory

Michelle Robertson

Lawrence Berkeley National Laboratory

Sireesh Dadi

Fervo Energy

DOE Project Details

Project Name Collection of Microearthquake (MEQ) Data for Mitigating, Characterizing, and Understanding Induced Seismicity for Optimizing the Performance of EGS

Project Lead Zachary Frone

Project Number 26525

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