Newberry FORGE: 3D Gravity Density Model for Newberry Volcano
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 - Geothermal Data Repository
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 -
Bonneville, Alain. Newberry FORGE: 3D Gravity Density Model for Newberry Volcano. Pacific Northwest National Laboratory, 11 March, 2016, Geothermal Data Repository. https://doi.org/10.15121/1405035.
Bonneville, A. (2016). Newberry FORGE: 3D Gravity Density Model for Newberry Volcano. [Data set]. Geothermal Data Repository. 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 Geothermal Data Repository. https://doi.org/10.15121/1405035
@misc{GDR_Dataset_716,
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 = {Geothermal Data Repository, Pacific Northwest National Laboratory, https://doi.org/10.15121/1405035},
note = {Accessed: 2025-06-30},
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
Keywords
geothermal, EGS, enhanced geothermal system, FORGE, NEWGEN, gravity, gravity inversion, density, Newberry, Oregon, upper vertex, gravity anomaly, gravity survey, geophysics, geophysical, susceptibility, model, inverse, inversionDOE Project Details
Project Name Frontier Observatory for Research in Geothermal Energy: Newberry, OR
Project Lead Lauren Boyd
Project Number EE0007158
