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Newberry FORGE: 3D Gravity Density Model for Newberry Volcano

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These data are Pacific Northwest National Lab inversions of an amalgamation of two surface gravity datasets: Davenport-Newberry gravity collected prior to 2012 stimulations and Zonge International gravity collected for the project "Novel use of 4D Monitoring Techniques to Improve Reservoir Longevity and Productivity in Enhanced Geothermal Systems" in 2012. Inversions of surface gravity recover a 3D distribution of density contrast from which intrusive igneous bodies are identified. The data indicate a body name, body type, point type, UTM X and Y coordinates, Z data is specified as meters below sea level (negative values then indicate elevations above sea level), thickness of the body in meters, suscept, density anomaly in g/cc, background density in g/cc, and density in g/cc.

The model was created using a commercial gravity inversion software called ModelVision 12.0 (http://www.tensor-research.com.au/Geophysical-Products/ModelVision). The initial model is based on the seismic tomography interpretation (Beachly et al., 2012). All the gravity data used to constrain this model are on the GDR: https://gdr.openei.org/submissions/760.

Citation Formats

TY - DATA AB - These data are Pacific Northwest National Lab inversions of an amalgamation of two surface gravity datasets: Davenport-Newberry gravity collected prior to 2012 stimulations and Zonge International gravity collected for the project "Novel use of 4D Monitoring Techniques to Improve Reservoir Longevity and Productivity in Enhanced Geothermal Systems" in 2012. Inversions of surface gravity recover a 3D distribution of density contrast from which intrusive igneous bodies are identified. The data indicate a body name, body type, point type, UTM X and Y coordinates, Z data is specified as meters below sea level (negative values then indicate elevations above sea level), thickness of the body in meters, suscept, density anomaly in g/cc, background density in g/cc, and density in g/cc. The model was created using a commercial gravity inversion software called ModelVision 12.0 (http://www.tensor-research.com.au/Geophysical-Products/ModelVision). The initial model is based on the seismic tomography interpretation (Beachly et al., 2012). All the gravity data used to constrain this model are on the GDR: https://gdr.openei.org/submissions/760. AU - Bonneville, Alain DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1405035 KW - geothermal KW - EGS KW - enhanced geothermal system KW - FORGE KW - NEWGEN KW - gravity KW - gravity inversion KW - density KW - Newberry KW - Oregon KW - upper vertex KW - gravity anomaly KW - gravity survey KW - geophysics KW - geophysical KW - susceptibility KW - model KW - inverse KW - inversion LA - English DA - 2016/03/11 PY - 2016 PB - Pacific Northwest National Laboratory T1 - Newberry FORGE: 3D Gravity Density Model for Newberry Volcano UR - https://doi.org/10.15121/1405035 ER -
Export Citation to RIS
Bonneville, Alain. Newberry FORGE: 3D Gravity Density Model for Newberry Volcano. Pacific Northwest National Laboratory, 11 March, 2016, GDR. https://doi.org/10.15121/1405035.
Bonneville, A. (2016). Newberry FORGE: 3D Gravity Density Model for Newberry Volcano. [Data set]. GDR. Pacific Northwest National Laboratory. https://doi.org/10.15121/1405035
Bonneville, Alain. Newberry FORGE: 3D Gravity Density Model for Newberry Volcano. Pacific Northwest National Laboratory, March, 11, 2016. Distributed by GDR. https://doi.org/10.15121/1405035
@misc{OEDI_Dataset_6945, title = {Newberry FORGE: 3D Gravity Density Model for Newberry Volcano}, author = {Bonneville, Alain}, abstractNote = {These data are Pacific Northwest National Lab inversions of an amalgamation of two surface gravity datasets: Davenport-Newberry gravity collected prior to 2012 stimulations and Zonge International gravity collected for the project "Novel use of 4D Monitoring Techniques to Improve Reservoir Longevity and Productivity in Enhanced Geothermal Systems" in 2012. Inversions of surface gravity recover a 3D distribution of density contrast from which intrusive igneous bodies are identified. The data indicate a body name, body type, point type, UTM X and Y coordinates, Z data is specified as meters below sea level (negative values then indicate elevations above sea level), thickness of the body in meters, suscept, density anomaly in g/cc, background density in g/cc, and density in g/cc.

The model was created using a commercial gravity inversion software called ModelVision 12.0 (http://www.tensor-research.com.au/Geophysical-Products/ModelVision). The initial model is based on the seismic tomography interpretation (Beachly et al., 2012). All the gravity data used to constrain this model are on the GDR: https://gdr.openei.org/submissions/760. }, url = {https://gdr.openei.org/submissions/716}, year = {2016}, howpublished = {GDR, Pacific Northwest National Laboratory, https://doi.org/10.15121/1405035}, note = {Accessed: 2025-05-04}, doi = {10.15121/1405035} }
https://dx.doi.org/10.15121/1405035

Details

Data from Mar 11, 2016

Last updated Nov 15, 2019

Submitted Mar 17, 2016

Organization

Pacific Northwest National Laboratory

Contact

Alain Bonneville

Authors

Alain Bonneville

Pacific Northwest National Laboratory

Research Areas

DOE Project Details

Project Name Frontier Observatory for Research in Geothermal Energy: Newberry, OR

Project Lead Lauren Boyd

Project Number EE0007158

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