skip to main content
DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: 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:
Publication Date:
Other Number(s):
716
DOE Contract Number:  
EE0007158
Product Type:
Dataset
Research Org.:
DOE Geothermal Data Repository; Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Subject:
15 Geothermal Energy
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; inversion
OSTI Identifier:
1405035
DOI:
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:10.15121/1405035.
Bonneville, Alain. 2016. "Newberry FORGE: 3D Gravity Density Model for Newberry Volcano". United States. doi:10.15121/1405035. https://www.osti.gov/servlets/purl/1405035. Pub date:Fri Mar 11 00:00:00 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 = {2016},
month = {3}
}

Dataset:

Save / Share: