Search OEDI Data

Geologic Framework of Thermal Springs, Black Canyon, Nevada and Arizona

This report presents the geologic framework critical in understanding spring discharge and the hydrogeology in Black Canyon directly south of Lake Mead below Hoover Dam, Nevada and Arizona. Most of the springs are thermal 2 Geologic Framework of Thermal Springs, Black Canyon, Neva...

Beard, L. et al United States Geological Survey

Aug 13, 2014
1 Resources
0 Stars
Publicly accessible

GEOTHERM Data Set

GEOTHERM is a comprehensive system of public databases and software used to store, locate, and evaluate information on the geology, geochemistry, and hydrology of geothermal systems. Three main databases address the general characteristics of geothermal wells and fields, and the c...

Bliss, J. and Rapport, A. United States Geological Survey

Apr 29, 1983
2 Resources
0 Stars
Publicly accessible

National Brackish Groundwater Assessment 2017

Brackish groundwater (BGW), defined for this assessment as having a dissolved-solids concentration between 1,000 and 10,000 milligrams per liter, is an unconventional source of water that may offer a partial solution to current (2016) and future water challenges. In support of the...

Qi, S. and Harris, A. United States Geological Survey

Apr 05, 2017
3 Resources
0 Stars
Publicly accessible

Geologic and Geophysical Data for Wells Drilled at Raft River Valley, Cassia County, Idaho, in 1977 to 1978 and Data for Wells Drilled Previously

In order to better define the size of the thermal anomaly in the Raft River Valley, Idaho, the U.S. Geological Survey drilled a series of intermediate-depth (nominal 500-ft depth) wells in 1977 and 1978. This report presents geologic, geophysical, and temperature data for these dr...

Nathenson, M. et al United States Geological Survey

Oct 31, 2014
1 Resources
0 Stars
Publicly accessible

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
6 Resources
0 Stars
Publicly accessible