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3-D Geologic Controls of Hydrothermal Fluid Flow at Brady Geothermal Field, Nevada using PCA

Metadata Updated: June 11, 2023

In many hydrothermal systems, fracture permeability along faults provides pathways for groundwater to transport heat from depth. Faulting generates a range of deformation styles that cross-cut heterogeneous geology, resulting in complex patterns of permeability, porosity, and hydraulic conductivity. Vertical connectivity (a through going network of permeable areas that allows advection of heat from depth to the shallow subsurface) is rare and is confined to relatively small volumes that have highly variable spatial distribution. This local compartmentalization of connectivity represents a significant challenge to understanding hydrothermal circulation and for exploring, developing, and managing hydrothermal resources. Here, we present an evaluation of the geologic characteristics that control this compartmentalization in hydrothermal systems through 3-D analysis of the Brady geothermal field in western Nevada. A published 3-D geologic map of the Brady area is used as a basis to develop structural and geological variables that are hypothesized to control or effect permeability or connectivity. The 3-D distribution of these variables is compared to the distribution of productive and non-productive fluid flow intervals along production wells and non-productive wells via principal component analysis (PCA). This comparison elucidates which geologic and structural variables are most closely associated with productive fluid flow intervals. Results indicate that production intervals at Brady are located: (1) within or near to known and stress-loaded macro-scale faults, and (2) in areas of high fault and fracture density.

This submission includes the published journal article detailing this work, the published 3-D geologic map of the Brady Geothermal Area used as a basis to develop structural and geological variables that are hypothesized to control or effect permeability or connectivity, 3-D well data, along which geologic data were sampled for PCA analyses, and associated metadata file. This work was done using existing R programs.

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons Attribution

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Dates

Metadata Created Date November 25, 2021
Metadata Updated Date June 11, 2023

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 25, 2021
Metadata Updated Date June 11, 2023
Publisher United States Geological Survey
Maintainer
Doi 10.15121/1832132
Identifier https://data.openei.org/submissions/4557
Data First Published 2021-10-01T06:00:00Z
Data Last Modified 2021-11-23T16:27:11Z
Public Access Level public
Bureau Code 019:20
Metadata Context https://openei.org/data.json
Metadata Catalog ID https://openei.org/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Quality True
Harvest Object Id 7e8ad213-2018-4327-aaec-a8173910e39e
Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
Harvest Source Title OpenEI data.json
Homepage URL https://gdr.openei.org/submissions/1345
License https://creativecommons.org/licenses/by/4.0/
Old Spatial {"type":"Polygon","coordinates":-119.2167,39.5883,-118.8167,39.5883,-118.8167,39.9883,-119.2167,39.9883,-119.2167,39.5883}
Program Code 019:006
Projectlead Mike Weathers
Projectnumber 35517
Projecttitle Insightful Subsurface Characterizations and Predictions
Source Datajson Identifier True
Source Hash 1e7d0409279f27ca484e3039fc238bdd94ebb8b1
Source Schema Version 1.1
Spatial {"type":"Polygon","coordinates":-119.2167,39.5883,-118.8167,39.5883,-118.8167,39.9883,-119.2167,39.9883,-119.2167,39.5883}

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