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TwitterThis 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.
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TwitterThis 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.