New River Geothermal Exploration (Ram Power Inc.)

Mirza, Riaz; Data, Emily

doi:10.15121/1148796

Title: New River Geothermal Exploration (Ram Power Inc.)

Dataset
Other Related Research

Abstract

The New River Geothermal Exploration (DOE Award No. EE0002843) is located approximately 25km south of the Salton Sea, near town of Brawley in Imperial County and approximately 150km east of San Diego, California. A total of 182 MT Logger sites were completed covering the two separate Mesquite and New River grids. The data was collected over a frequency range of 320Hz to 0.001Hz with variable site spacing. A number of different inversion algorithms in 1D, 2D and 3D were used to produce resistivity-depth profiles and maps of subsurface resistivity variations over the survey area. For 2D inversions, a total of eighteen lines were constructed in east-west and north-south orientations crossing the entire survey area. For MT 3D inversion, the New River property was divided in two sub-grids, Mesquite and New River areas. The report comprises of two parts. For the first part, inversions and geophysical interpretation results are presented with some recommendations of the potential targets for future follow up on the property. The second part of the report describes logistics of the survey, survey parameters, methodology and the survey results (data) in digital documents. The report reviews a Spartan MT survey carried out by Quantec Geoscience Limited over themore »« less

Authors:

Mirza, Riaz; Data, Emily

Ram Power, Inc.

Publication Date:: 2013-11-14

Other Number(s):: 266

DOE Contract Number:: EE0002843

Research Org.:: DOE Geothermal Data Repository; Ram Power, Inc.

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: Ram Power, Inc.

Subject:: 15 GEOTHERMAL ENERGY; 1D; 2D; 3D; Appendix; Brawley; California; Daily Survey Notes; Depth Plan Maps; Depth Profiles; EDI; Electronic Data Exchange; Faults; GeoSoft; Geophysical Modeling Tools; Geotools; GoCad; Imperial County; MT Survey; Magnetotelluric Survey; Maps; Mesquite; New River; North America; Parallel Sensor Test; Resistivity; Resistivity Models; SDM; Seismic Reflection Survey; Site Names; Spacial Model; Spacial Modeling; Spatial Modeling; Survey Files; Survey Notes; Vibration monitoring; geospatial data; geothermal; report; software

OSTI Identifier:: 1148796

DOI:: https://doi.org/10.15121/1148796

Citation Formats


                    Mirza, Riaz, and Data, Emily. New River Geothermal Exploration (Ram Power Inc.).  United States: N. p., 2013. 
        Web.  doi:10.15121/1148796.

Copy to clipboard


                    Mirza, Riaz, & Data, Emily. New River Geothermal Exploration (Ram Power Inc.).  United States.  doi:https://doi.org/10.15121/1148796

Copy to clipboard


                    Mirza, Riaz, and Data, Emily. 2013.  
"New River Geothermal Exploration (Ram Power Inc.)".  United States.  doi:https://doi.org/10.15121/1148796.  https://www.osti.gov/servlets/purl/1148796. Pub date:Thu Nov 14 23:00:00 EST 2013

Copy to clipboard


                    
@article{osti_1148796,

  title        = {New River Geothermal Exploration (Ram Power Inc.)},

  author       = {Mirza, Riaz and Data, Emily},

  abstractNote = {The New River Geothermal Exploration (DOE Award No. EE0002843) is located approximately 25km south of the Salton Sea, near town of Brawley in Imperial County and approximately 150km east of San Diego, California. A total of 182 MT Logger sites were completed covering the two separate Mesquite and New River grids. The data was collected over a frequency range of 320Hz to 0.001Hz with variable site spacing. A number of different inversion algorithms in 1D, 2D and 3D were used to produce resistivity-depth profiles and maps of subsurface resistivity variations over the survey area. For 2D inversions, a total of eighteen lines were constructed in east-west and north-south orientations crossing the entire survey area. For MT 3D inversion, the New River property was divided in two sub-grids, Mesquite and New River areas. The report comprises of two parts. For the first part, inversions and geophysical interpretation results are presented with some recommendations of the potential targets for future follow up on the property. The second part of the report describes logistics of the survey, survey parameters, methodology and the survey results (data) in digital documents. The report reviews a Spartan MT survey carried out by Quantec Geoscience Limited over the New River Project in California, USA on behalf of Ram Power Inc. Data was acquired over a period of 29 days from 2010/06/26 to 2010/07/24.},

  doi          = {10.15121/1148796},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2013},

  month        = {11}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15121/1148796

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Alum Innovative Exploration Project (Ram Power Inc.)

Dataset Miller, Clay

Data generated from the Alum Innovative Exploration Project, one of several promising geothermal properties located in the middle to upper Miocene (~11-5 Ma, or million years BP) Silver Peak-Lone Mountain metamorphic core complex (SPCC) of the Walker Lane structural belt in Esmeralda County, west-central Nevada. The geothermal system at Alum is wholly concealed; its upper reaches discovered in the late 1970s during a regional thermal-gradient drilling campaign. The prospect boasts several shallow thermal-gradient (TG) boreholes with TG >75oC/km (and as high as 440oC/km) over 200-m intervals in the depth range 0-600 m. Possibly boiling water encountered at 239 m depthmore »« less
Silver Peak Innovative Exploration Project (Ram Power Inc.)

Dataset Miller, Clay

Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich brines from which have been mined for several decades). Spring- and shallow-borehole thermal-water geochemistry and geothermometry suggest that a Silver Peak geothermal reservoir is very likely to attain the temperature range 260- 300oF (~125-150oC), and may reach 300-340oF (~150-170oC) or higher (GeothermEx, Inc., 2006). Results of detailed geologic mapping, structural analysis, and conceptual modeling of the prospect (1) support the GeothermEx (op. cit.) assertion that the Silver Peakmore »« less
Geothermal Exploration Cost and Time

Dataset Jenne, Scott

This paper describes the methodology used to define the baseline exploration suite of techniques (baseline), as well as the approach that was used to create the cost and time data set that populates the baseline. The resulting product, an online tool for measuring impact, and the aggregated cost and time data are available on the Open Energy Information website (OpenEI, http://en.openei.org) for public access. The Department of Energy's Geothermal Technology Office (GTO) provides RD&D funding for geothermal exploration technologies with the goal of lowering the risks and costs of geothermal development and exploration. The National Renewable Energy Laboratory (NREL) developedmore »« less
Programs and Code for Geothermal Exploration Artificial Intelligence

Dataset Moraga, Jim

The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including: - Land Surface Temperature K-Means classifier - Labeling AI using Self Organizing Maps (SOM) - Post-processing for Permanent Scatterer InSAR (PSInSAR) analysis with SOM - Mineral marker summarizing - Artificial Intelligence (AI) Data splitting: creates data set from a single raster file - Artificial Intelligence Model: creates AI from a single data set, after splitting in Train, Validation and Test subsets - AImore »« less
Appendices for Geothermal Exploration Artificial Intelligence Report

Dataset Moraga, Jim

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especially regarding finding locations for viable EGS sites. This submission includes the appendices and reports formerly attached to the Geothermal Exploration Artificial Intelligence Quarterly and Final Reports. The appendices below include methodologies, results, and some data regarding what was used to train the Geothermal Exploration AI. The methodology reports explain how specific anomaly detection modes were selected for use with themore »« less

Similar Records