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Gravity Survey on the Glass Buttes Geothermal Exploration Project Lake County, Oregon

This report covers data acquisition, instrumentation and processing of a gravity survey performed on the Glass Buttes Geothermal Exploration Project, located in Lake County, Oregon for ORMAT Technologies Inc. The survey was conducted during 21 June 2010 to 26 June 2010. The surve...
Akerley, J. Ormat Nevada Inc
Oct 12, 2011
2 Resources
0 Stars
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Glass Buttes Well 52-33 Core Log

Core log from Glass Buttes Well 52-33, drilled by Geodrill Rig 6 in 2014 to a depth of 3000 feet. Logged at 500 ft intervals.
Akerley, J. Ormat Nevada Inc
Oct 26, 2014
1 Resources
0 Stars
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Acquisition and Processing of a Detailed Aeromagnetic Survey Glass Buttes, Oregon

Using an ultra-light aircraft, a high-resolution aeromagnetic survey was carried out over Ormat Nevada's Glass Buttes project area in Oregon. Survey operations were completed on May 25, 2010. Average terrain clearance was 223 meters from the sensor. A total of 1,352 line-miles o...
Akerley, J. Ormat Nevada Inc
May 27, 2010
6 Resources
0 Stars
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Glass Buttes Exploration and Drilling: 2010 Geothermal Technologies Program Peer Review Presentation

Glass Buttes Exploration and Drilling: 2010 Geothermal Technologies Program Peer Review Presentation, Walsh, et al, Ormat
Walsh, P. Ormat Nevada Inc
Jan 01, 2010
1 Resources
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2011 Glass Buttes Exploration and Drilling

2011 Geothermal Technologies Program Peer Review Presentation summarizing relevance, proposed approach, and logistics of the Glass Buttes Exploration and Drilling.
Walsh, P. Ormat Nevada Inc
Jan 01, 2011
1 Resources
0 Stars
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Remote Sensing and Geology of Glass Buttes, Oregon

This data set includes Light Detection and Ranging (LiDAR) data, a remote sensing processing report, and a geologic map of the Glass Buttes study area for ORMAT. The total area flown for the LiDAR remote sensing was 86,631 acres to fully encompass the area of interest (84,849 ac...
Akerley, J. et al Ormat Nevada Inc
Jun 21, 2010
3 Resources
0 Stars
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Multiple Data Sets Converge on a Geologic Structural Model for Glass Buttes, Oregon Geothermal Prospect, Patrick Walsh, et al, 2010 American Geophysical Union Poster Session

Multiple data sets converge on a geologic structural model for Glass Buttes, Oregon geothermal prospect, Patrick Walsh, Brigette Martini, Chet Lide, Darrick Boschmann, John DIlles, Andrew Meigs, 2010 Ormat Nevada, Zonge Geophysical, Oregon State University American Geophysical Uni...
Walsh, P. et al Ormat Nevada Inc
Jan 01, 2010
1 Resources
0 Stars
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MT Survey on the Glass Buttes Geothermal Exploration Project in Lake County, Oregon

Zonge Geosciences, Inc. performed a magnetotelluric (MT) survey for the Glass Buttes Project at the request of Ormat Technologies Inc. during the period of 7 October 2010 to 8 November 2010. This report provides the deep electromagnetic data and methods that were used to assist O...
Akerley, J. Ormat Nevada Inc
Nov 08, 2010
1 Resources
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The Use of 3D Geologic Modeling to Improve Well Targeting in Glass Buttes, Oregon

The Glass Buttes Project includes combining a suite of high-resolution geophysical and geochemical techniques to reduce exploration risk by characterizing hydrothermal alteration, fault geometries and relationships. This is aided through geologic observation, modern remote sensing...
Walsh, P. Ormat Nevada Inc
Oct 09, 2011
1 Resources
0 Stars
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LiDAR as an Exploration Tool

Using LiDAR to identify structural and volcanic evolution of a Miocene-Pleistocene age bimodal volcanic complex and implications for geothermal potential. The file includes an updated geologic map, methods, and preliminary results.
Boschmann, D. et al Ormat Nevada Inc
Jan 01, 2011
1 Resources
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Glass Mountain Fluid Inclusion Gas Analysis

Fluid inclusion gas analysis for wells in Glass Mountain geothermal area, California. Analyses used in developing fluid inclusion stratigraphy for wells and defining fluids across the geothermal fields. Each sample has mass spectrum counts for 180 chemical species.
Dilley, L. Hattenburg Dilley and Linnell
Jan 01, 2013
2 Resources
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DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
4 Resources
0 Stars
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Utah FORGE Well 56-32 Sludge XRF

This is an Excel spreadsheet containing the results of X-ray fluorescence from well 56-32 sludge samples. The instrumentation used was a Olympus Vanta M series handheld XRF analyzer. A glass (SiO2) "blank" was analyzed at the beginning and end of each sample batch to detect contam...
Smith, K. Utah Geological Survey
Jul 15, 2022
1 Resources
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SOLPRINT Thermodynamic Database User Reference for SOLTHERM

This data submission is link to a user reference guide for the SOLTHERM thermodynamic database maintained by the University of Oregon. The data at this link are not 'data results' from sampling. These data are derived from SOLTHERM as a reference for the user, showing balanced rea...
Palandri, J. University of Oregon
Oct 07, 2015
2 Resources
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SMP Preparation, Programming, and Characterization

The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...
Salehi, S. et al University of Oklahoma
Oct 01, 2021
4 Resources
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SOLTHERM Thermodynamic Database for Geochemical Modeling

This data submission is a link to a thermodynamic database maintained by the University of Oregon. The data at this link are not 'data results' from sampling. The data at this link comprise a thermodynamic database for aqueous species, minerals, and gases, including data for stoic...
Palandri, J. University of Oregon
Oct 07, 2015
2 Resources
0 Stars
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...
Marone, C. et al Pennsylvania State University
May 14, 2021
3 Resources
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High-Temperature Inorganic Self-Healing Inorganic Cement Composites

The data files below summarize the results from various experiments testing properties of high-temperature self-healing inorganic cement composites. These properties include cement-carbon steel bond strength, Young's modulus recovery, matrix recovery strength, and compressive stre...
Pyatina, T. and Sugama, T. Brookhaven National Laboratory
Sep 13, 2017
5 Resources
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