U.S. Department of EnergyOffice of Scientific and Technical Information
Newberry FORGE: 3D Gravity Density Model for Newberry Volcano
Abstract
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.
- Authors:
-
- Pacific Northwest National Laboratory
- Publication Date:
- Other Number(s):
- 716
- Research Org.:
- DOE Geothermal Data Repository; Pacific Northwest National Laboratory
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
- Collaborations:
- Pacific Northwest National Laboratory
- Subject:
- 15 GEOTHERMAL ENERGY; EGS; FORGE; NEWGEN; Newberry; Oregon; density; enhanced geothermal system; geophysical; geophysics; geothermal; gravity; gravity anomaly; gravity inversion; gravity survey; inverse; inversion; model; susceptibility; upper vertex
- OSTI Identifier:
- 1405035
- DOI:
- https://doi.org/10.15121/1405035
Citation Formats
Bonneville, Alain. Newberry FORGE: 3D Gravity Density Model for Newberry Volcano. United States: N. p., 2016.
Web. doi:10.15121/1405035.
Bonneville, Alain. Newberry FORGE: 3D Gravity Density Model for Newberry Volcano. United States. doi:https://doi.org/10.15121/1405035
Bonneville, Alain. 2016.
"Newberry FORGE: 3D Gravity Density Model for Newberry Volcano". United States. doi:https://doi.org/10.15121/1405035. https://www.osti.gov/servlets/purl/1405035. Pub date:Thu Mar 10 23:00:00 EST 2016
@article{osti_1405035,
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.},
doi = {10.15121/1405035},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Mar 10 23:00:00 EST 2016},
month = {Thu Mar 10 23:00:00 EST 2016}
}