Brady's Geothermal Field - Analysis of Pressure Data

Lim, David

doi:10.15121/1367912

Title: Brady's Geothermal Field - Analysis of Pressure Data

Dataset
Other Related Research

Abstract

*This submission provides corrections to GDR Submissions 844 and 845* Poroelastic Tomography (PoroTomo) by Adjoint Inverse Modeling of Data from Hydrology. The 3 *csv files containing pressure data are the corrected versions of the pressure dataset found in Submission 844. The dataset has been corrected in the sense that the atmospheric pressure has been subtracted from the total pressure measured in the well. Also, the transducers used at wells 56A-1 and SP-2 are sensitive to surface temperature fluctuations. These temperature effects have been removed from the corrected datasets. The 4th *csv file contains corrected version of the pumping data found in Submission 845. The data has been corrected in the sense that the data from several wells that were used during the PoroTomo deployment pumping tests that were not included in the original dataset has been added. In addition, several other minor changes have been made to the pumping records due to flow rate instrument calibration issues that were discovered.

Authors:: Lim, David

Publication Date:: Fri Mar 17 00:00:00 EDT 2017

Other Number(s):: 917

DOE Contract Number:: EE0006760

Research Org.:: USDOE Geothermal Data Repository (United States); Univ. of Wisconsin, Madison, WI (United States)

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

Collaborations:: University of Wisconsin

Subject:: 15 Geothermal Energy

Keywords:: geothermal; energy; production flow rate data; injection flow rate data; pressure data; hydrology; hydrogeology; Brady Hot Springs; PoroTomo; Poroelastic Tomography; egs; enhanced geothermal systems; engineered geothermal systems; deployment data; brady; bradys geothermal field; pressure; flow rate; borehole; downhole; well data; pressure sensor; observation wells; pumping test; water pressure; observation well

Geolocation:: 39.9883,-118.8167|39.5883,-118.8167|39.5883,-119.2167|39.9883,-119.2167|39.9883,-118.8167

OSTI Identifier:: 1367912

DOI:: https://doi.org/10.15121/1367912

Project Location:

Citation Formats


                    Lim, David. Brady's Geothermal Field - Analysis of Pressure Data.  United States: N. p., 2017. 
        Web.  doi:10.15121/1367912.

Copy to clipboard


                    Lim, David. Brady's Geothermal Field - Analysis of Pressure Data.  United States.  doi:https://doi.org/10.15121/1367912

Copy to clipboard


                    Lim, David. 2017.  
"Brady's Geothermal Field - Analysis of Pressure Data".  United States.  doi:https://doi.org/10.15121/1367912.  https://www.osti.gov/servlets/purl/1367912. Pub date:Fri Mar 17 00:00:00 EDT 2017

Copy to clipboard


                    
@article{osti_1367912,

  title        = {Brady's Geothermal Field - Analysis of Pressure Data},

  author       = {Lim, David},

  abstractNote = {*This submission provides corrections to GDR Submissions 844 and 845* Poroelastic Tomography (PoroTomo) by Adjoint Inverse Modeling of Data from Hydrology. The 3 *csv files containing pressure data are the corrected versions of the pressure dataset found in Submission 844. The dataset has been corrected in the sense that the atmospheric pressure has been subtracted from the total pressure measured in the well. Also, the transducers used at wells 56A-1 and SP-2 are sensitive to surface temperature fluctuations. These temperature effects have been removed from the corrected datasets. The 4th *csv file contains corrected version of the pumping data found in Submission 845. The data has been corrected in the sense that the data from several wells that were used during the PoroTomo deployment pumping tests that were not included in the original dataset has been added. In addition, several other minor changes have been made to the pumping records due to flow rate instrument calibration issues that were discovered.},

  doi          = {10.15121/1367912},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Mar 17 00:00:00 EDT 2017},

  month        = {Fri Mar 17 00:00:00 EDT 2017}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15121/1367912

Save / Share:

Export Metadata

Save to My Library

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

Brady Geothermal Field Borehole Pressure Data

Dataset Cardiff, Michael ; Lim, David

This submission supersedes pressure data from March 2017 which can be found as a link in the submission resources. This submission contains 3 .csv files with time series pressure data in 3 observation wells at Brady Geothermal Field as part of the PoroTomo project. These pressure files correct a time stamp issue that was in older data which did not correct for daylight savings time which occurred 13 Mar 2016 at 0900 UTC. The data here provides borehole pressures at different temperatures and times. The timeframe each resource was taken in varies between each resource and can be found inmore » the resource descriptions.« less
PoroTomo Project: Brady's Geothermal Field, Subtask 3.5: GPS Data Analysis

Dataset Kreemer, Corne

Links to GPS RINEX data not previously reported, plus links to station web pages, which include most up-to-date time-series
PoroTomo Project: Brady's Geothermal Field: GPS station deployment and data analysis

Dataset Kreemer, Corne

Brady's Field PoroTomo project. GPS station deployment and data analysis. Links to data files and website with station and time-series information
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

Dataset Siler, Drew ; Pepin, Jeff D. ; Vesselinov, Velimir V. ; ...

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 production and direct use of hydrothermal fluids. Transmissive fuid-fow pathways are relatively rare in the subsurface, but are critical components of hydrothermal systems like Brady and many other types of fuid-fow systems in fractured rock. Here, we analyze geologic data with ML methods to unravel the local geologic controls on these pathways. The ML method, non-negative matrix factorization with k-meansmore »« less
Brady Geothermal Field InSAR Raw Data

Dataset Ali, Tabrez

List of TerraSAR-X/TanDEM-X images acquired between 2015-01-01 and 2015-03-31, and archived at https://winsar.unavco.org. See file "BHS InSAR Data with URLs.csv" for individual links. NOTE: The user must create an account in order to access the data (See "Instructions for Creating an Account" below).

Similar Records