DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific exploration datasets needed to be acquired, cleaned, reformatted, and assembled in Leapfrog Geothermal. This GDR submission includes all of the cleaned and reformatted (X (m), Y (m), elevation (m), processed data values) datasets used to build the Leapfrog Geodata model.
Existing datasets were acquired from the GDR, from AltaRock, and from other sources. This yielded the following datasets:
- Digital elevation model produced from LiDAR data by Ramsey and Bard, 2016
- MT surveys from 2006, 2011, 2014, and 2017 (including single inversions)
- Gravity surveys from 2006, 2007, and 2011 (including single)
- Earthquake catalogs from PNSN, LLNL, and the Newberry EGS Demonstration project
- Seismic velocity model from Templeton et al., 2014
- The Frone, 2015 temperature model and a new one produced through extrapolating downhole temperature measurements and the SMU temperature at depth maps. Two versions of the new model are provided: 250 m spacing and 500 m spacing
- EarthVision geologic model with alteration from Moser et al., 2016
- Well data from EGS well 55-29, deep geothermal wells, coreholes (GEO N-2 through 5) and several thermal gradient holes
- "Newberry Well Data:" Location, simple lithology, directional survey data, and temperature data for the 34 wells and coreholes used in the Newberry PFA
Although there are additional 2D datasets available in the area, such as aeromagnetic surveys, these were not included in the analysis. While it may be possible to project these datasets into three dimensions by assuming the surface measurements do not vary with depth, this method is associated with high uncertainty. Preexisting inversions of these data were unavailable, and inverting additional geophysical datasets is outside the scope of this project.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Hannah Pauling",
"@type": "vcard:Contact",
"hasEmail": "mailto:Hannah.Pauling@nrel.gov"
}
|
| dataQuality |
true
|
| description | DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific exploration datasets needed to be acquired, cleaned, reformatted, and assembled in Leapfrog Geothermal. This GDR submission includes all of the cleaned and reformatted (X (m), Y (m), elevation (m), processed data values) datasets used to build the Leapfrog Geodata model. Existing datasets were acquired from the GDR, from AltaRock, and from other sources. This yielded the following datasets: - Digital elevation model produced from LiDAR data by Ramsey and Bard, 2016 - MT surveys from 2006, 2011, 2014, and 2017 (including single inversions) - Gravity surveys from 2006, 2007, and 2011 (including single) - Earthquake catalogs from PNSN, LLNL, and the Newberry EGS Demonstration project - Seismic velocity model from Templeton et al., 2014 - The Frone, 2015 temperature model and a new one produced through extrapolating downhole temperature measurements and the SMU temperature at depth maps. Two versions of the new model are provided: 250 m spacing and 500 m spacing - EarthVision geologic model with alteration from Moser et al., 2016 - Well data from EGS well 55-29, deep geothermal wells, coreholes (GEO N-2 through 5) and several thermal gradient holes - "Newberry Well Data:" Location, simple lithology, directional survey data, and temperature data for the 34 wells and coreholes used in the Newberry PFA Although there are additional 2D datasets available in the area, such as aeromagnetic surveys, these were not included in the analysis. While it may be possible to project these datasets into three dimensions by assuming the surface measurements do not vary with depth, this method is associated with high uncertainty. Preexisting inversions of these data were unavailable, and inverting additional geophysical datasets is outside the scope of this project. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "DEM by Ramsey and Bard 2016",
"format": "HTML",
"accessURL": "https://dx.doi.org/10.5066/F7J38QNV",
"mediaType": "text/html",
"description": "Link to digital elevation model (DEM) by Ramsey and Bard 2016 in the USGS repository. This is a high-resolution digital elevation dataset for Newberry Volcano and vicinity, Oregon, based on lidar survey of August-September, 2010 and bathymetric survey of June, 2001.
"
},
{
"@type": "dcat:Distribution",
"title": "3D Resistivity Model from Bowles-Martinez 2020",
"format": "HTML",
"accessURL": "https://edx.netl.doe.gov/dataset/electrical-resistivity-model-of-newberry-volcano#resources",
"mediaType": "text/html",
"description": "Electrical resistivity model of Newberry Volcano in the central Oregon Cascades. Model created by inverting magnetotelluric (MT) data with the ModEM inversion software. All support files used in the inversion are present. Model is centered at 43.7261, -121.3156. This data was used in the preliminary PFA applied to Newberry, but in the final PFA iteration, the Schultz et al., 2023 inversions were used. They are included in a separate GDR submission, which is also linked to in this submission."
},
{
"@type": "dcat:Distribution",
"title": "EarthVision Geologic Model",
"format": "HTML",
"accessURL": "https://edx.netl.doe.gov/dataset/newberry-geologic-earthvision-model",
"mediaType": "text/html",
"description": "EarthVision 3D model of Newberry Volcano based upon geologic datasets by Mark-Moser et al., 2019."
},
{
"@type": "dcat:Distribution",
"title": "Well 55-29 Well Logs in CSV.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1512/55_29_RUNS.csv",
"mediaType": "text/csv",
"description": "This is the well logs from EGS Stimulation Well 55-29, converted from LAS to CSV format for input into Leapfrog."
},
{
"@type": "dcat:Distribution",
"title": "DEM with UTM Coordinates.tif",
"format": "tif",
"accessURL": "https://gdr.openei.org/files/1512/DEM_UTM.tif",
"mediaType": "application/octet-stream",
"description": "This is the Ramsey and Bard, 2016 digital elevation model (DEM) linked above, with coordinates converted to UTM."
},
{
"@type": "dcat:Distribution",
"title": "Earthquake Catalog version 2.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1512/EQs_Merged_CORRECTED_updated.csv",
"mediaType": "text/csv",
"description": "This earthquake catalog was created by combining other publicly accessible earthquake catalogs. This catalog includes the microseismicity catalog from the EGS stimulation and Pacific Northwest Seismic Network (PNSN) catalog (both linked below), along with other catalogs. **This version of the catalog has been updated to include additional events, and remove duplicate events from the EGS stimulation microseismicity catalog."
},
{
"@type": "dcat:Distribution",
"title": "Earthquake Catalog version 1.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1512/EQs_Merged_CORRECTED_w_rms.csv",
"mediaType": "text/csv",
"description": "**This is an outdated version. See "Earthquake Catalog version 2.csv" below.** This earthquake catalog was created by combining other publicly accessible earthquake catalogs. This catalog includes the microseismicity catalog from the EGS stimulation and Pacific Northwest Seismic Network (PNSN) catalog (both linked below), along with other catalogs."
},
{
"@type": "dcat:Distribution",
"title": "Geologic Model in CSV.zip",
"format": "zip",
"accessURL": "https://gdr.openei.org/files/1512/Geologic%20Model.zip",
"mediaType": "application/zip",
"description": "This is the EarthVision model by Mark-Moser et al., 2019 (linked above), converted in to CSV format for input into Leapfrog Geothermal."
},
{
"@type": "dcat:Distribution",
"title": "DEEPEN Temperature Model 250m.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1512/Temp%20Model%20250m%20CORRECTED.csv",
"mediaType": "text/csv",
"description": "Thermal model produced in Leapfrog interpolating from bottom hole temperatures from wells in the area, using SMU maps of estimated temperature at depth to anchor the temperatures at the corners of the model. This model uses 250 m spacing."
},
{
"@type": "dcat:Distribution",
"title": "DEEPEN Temperature Model 500m.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1512/Temp%20Model%20500m%20CORRECTED.csv",
"mediaType": "text/csv",
"description": "Thermal model produced in Leapfrog interpolating from bottom hole temperatures from wells in the area, using SMU maps of estimated temperature at depth to anchor the temperatures at the corners of the model. This model uses 500 m spacing."
},
{
"@type": "dcat:Distribution",
"title": "Newberry Well Data.zip",
"format": "zip",
"accessURL": "https://gdr.openei.org/files/1512/Well%20Data.zip",
"mediaType": "application/zip",
"description": "This archive includes the location, simple lithology, directional survey data, and temperature data for the 34 wells and coreholes used in the Newberry PFA. Note that the four "fake" wells are used to include the SMU temperature at depth maps to anchor the corners of the model."
},
{
"@type": "dcat:Distribution",
"title": "Downsampled 3D Resistivity Model.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1512/downsampled_by2_Newberry_3D_MT.csv",
"mediaType": "text/csv",
"description": "This is the Bowles-Martinez et al., 2020 3D resistivity model of Newberry, downsampled by a factor of 2 for faster processing in Leapfrog. This data was used in the preliminary PFA applied to Newberry, but in the final PFA iteration, the Schultz et al., 2023 inversions were used. They are included in a separate GDR submission, which is also linked to in this submission."
},
{
"@type": "dcat:Distribution",
"title": "Downsampled Frone 3D Thermal Model.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1512/downsampled_by_10Newberry_Frone_2015_3DThermalModel_T_xyz.csv",
"mediaType": "text/csv",
"description": "This is the Frone, 2015 temperature model (linked above), but downsampled by a factor of 10 to speed up processing in Leapfrog."
},
{
"@type": "dcat:Distribution",
"title": "LLNL Seismic Velocity Model in CSV.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1512/newberry_llnl_velocity_model_utm.csv",
"mediaType": "text/csv",
"description": "This is the LLNL seismic velocity model by Templeton et al., 2013 (linked below) converted into CSV format using UTM coordinates for input into Leapfrog."
},
{
"@type": "dcat:Distribution",
"title": "Newberry Wells.csv",
"format": "csv",
"accessURL": "https://gdr.openei.org/files/1512/newberry_wells.csv",
"mediaType": "text/csv",
"description": "This dataset includes publicly available information about wells in the Newberry area, including location, depth, temperature, and more."
},
{
"@type": "dcat:Distribution",
"title": "Schultz et al. 2023 MT and Gravity Data Acquisition and Processing",
"format": "HTML",
"accessURL": "https://gdr.openei.org/submissions/1514",
"mediaType": "text/html",
"description": "As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), new magnetotelluric (MT) and gravity data were collected with the goal of gaining an improved understanding of the South Flank and the extent of the magma chamber. This linked GDR submission includes the raw data, single inversions, joint inversions, resolution matrices, and a report on these processes."
},
{
"@type": "dcat:Distribution",
"title": "EGS Stimulation Microseismicity Data Catalog",
"format": "HTML",
"accessURL": "https://gdr.openei.org/submissions/249",
"mediaType": "text/html",
"description": "Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate the microseismicity at the DOE Newberry EGS site to better image the active regions of the underground fracture network during and immediately after the EGS stimulation. Detection of more microearthquakes during EGS stimulations will allow for better seismic delineation of the active regions of the underground fracture system. This improved knowledge of the reservoir network will improve our understanding of subsurface conditions, and allow improvement of the stimulation strategy that will optimize heat extraction and maximize economic return."
},
{
"@type": "dcat:Distribution",
"title": "Well 55-29 Data",
"format": "HTML",
"accessURL": "https://gdr.openei.org/submissions/271",
"mediaType": "text/html",
"description": "This linked GDR submission includes all of the files and reports associated with the geophysical exploration, stimulation, and monitoring included in the scope of the project. The borehole televiewer logs were used in the Newberry PFA."
},
{
"@type": "dcat:Distribution",
"title": "Newberry EGS Seismic Velocity Model",
"format": "HTML",
"accessURL": "https://gdr.openei.org/submissions/282",
"mediaType": "text/html",
"description": "We use ambient noise correlation (ANC) to create a detailed image of the subsurface seismic velocity at the Newberry EGS site down to 5 km. We collected continuous data for the 22 stations in the Newberry network, together with 12 additional stations from the nearby CC, UO and UW networks. The data were instrument corrected, whitened and converted to single bit traces before cross correlation according to the methodology in Benson (2007). There are 231 unique paths connecting the 22 stations of the Newberry network. The additional networks extended that to 402 unique paths crossing beneath the Newberry site. "
},
{
"@type": "dcat:Distribution",
"title": "Newberry FORGE 3D Gravity Density Model for Newberry Volcano",
"format": "HTML",
"accessURL": "https://gdr.openei.org/submissions/716",
"mediaType": "text/html",
"description": "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. This data was used in the preliminary PFA applied to Newberry, but in the final PFA iteration, the Schultz et al., 2023 inversions were used. They are included in a separate GDR submission, which is also linked to in this submission."
},
{
"@type": "dcat:Distribution",
"title": "3D Thermal Model from Frone 2015",
"format": "HTML",
"accessURL": "https://gdr.openei.org/submissions/730",
"mediaType": "text/html",
"description": "Final results of a 3D finite difference thermal model of Newberry Volcano, Oregon. Model data are formatted as a text file with four data columns (X, Y, Z, T). X and Y coordinates are in UTM (NAD83 Zone 10N), Z is elevation from mean sea level (meters), T is temperature in deg C. Model is 40km X 40km X 12.5 km, grid node spacing is 100m in X, Y, and Z directions. A symmetric cylinder shaped magmatic heat source centered on the present day caldera is the modeled heat source. The center of the modeled body is a -1700 m (elevation) and is 600m thick with a radius of 8700m. This is the best fit results from 2D modeling of the west flank of the volcano. The model accounts for temperature dependent thermal properties and latent heat of crystallization. For additional details, assumptions made, data used, and a discussion of the validity of the model see Frone, 2015 (Link below)."
},
{
"@type": "dcat:Distribution",
"title": "PNSN Earthquake Catalog",
"format": "HTML",
"accessURL": "https://www.pnsn.org/earthquakes/historic-catalog",
"mediaType": "text/html",
"description": "Link to Pacific Northwest Seismic Network (PNSN) historical earthquake catalog page. This data was used in the Newberry PFA."
}
]
|
| DOI | 10.15121/1995529 |
| identifier | https://data.openei.org/submissions/7602 |
| issued | 2023-06-30T06:00:00Z |
| keyword |
[
"3D",
"DEEPEN",
"DEM",
"LiDAR",
"MT",
"Newberry",
"alteration model",
"characterization",
"datasets",
"density",
"earthquake catalog",
"energy",
"exploration",
"geodata",
"geologic model",
"geothermal",
"gravity",
"hydrothermal",
"magmatic",
"magnetotellurics",
"modeling",
"pfa",
"processed data",
"resistivity",
"seismic",
"supercritical",
"superhot",
"superhot EGS",
"temperature model",
"velocity",
"well data"
]
|
| landingPage | https://gdr.openei.org/submissions/1512 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-12-02T19:28:44Z |
| programCode |
[
"019:006"
]
|
| projectLead | Lauren Boyd |
| projectNumber |
"37178"
|
| projectTitle | DE-risking Exploration of geothermal Plays in magmatic ENvironments (DEEPEN) |
| publisher |
{
"name": "National Renewable Energy Laboratory",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-124.9050129875,39.26626107850767],[-116.46302079999998,39.26626107850767],[-116.46302079999998,48.997316840078255],[-124.9050129875,48.997316840078255],[-124.9050129875,39.26626107850767]]]}"
|
| title | DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano |
