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Title: Geothermal reservoir characterization using distributed temperature sensing at Brady Geothermal Field, Nevada

Abstract

Distributed temperature sensing (DTS) systems provide near real-time data collection that captures borehole spatiotemporal temperature dynamics. For this study, temperature data was collected in an observation well at an active geothermal site for a period of eight days under geothermal production conditions. Collected temperature data showcase the ability of DTS systems to detect changes to the location of the steam-water interface, visualize borehole temperature recovery — following injection of a coldwater “slug” — and identify anomalously warm and/or cool zones. The high sampling rate and spatial resolution of DTS data also shows borehole temperature dynamics that are not captured by traditional pressure-temperature survey tools. Inversion of thermal recovery data using a finite-difference heat-transfer model produces a thermal-diffusivity profile that is consistent with laboratorymeasured values and correlates with identified lithologic changes within the borehole. Used alone or in conjunction with complementary data sets, DTS systems are useful tools for developing a better understanding of both reservoir rock thermal properties as well as within and near borehole fluid movement.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [2]; ORCiD logo [2];  [4];  [4]
  1. Univ. of Wisconsin, Madison, WI (United States). Dept. of Geoscience
  2. Univ. of Wisconsin, Madison, WI (United States)
  3. Silixa LLC., Houston, TX (United States)
  4. Ormat Technologies Inc., Reno, NV (United States)
Publication Date:
Research Org.:
Univ. of Wisconsin-Madison, Madison, WI (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (EE-4G); Ormat Technologies Inc., Reno, NV (United States)
OSTI Identifier:
1422408
Grant/Contract Number:
EE0005510; EE0006760
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
The Leading Edge
Additional Journal Information:
Journal Volume: 36; Journal Issue: 12; Related Information: Coleman, T., 2016, PoroTomo DTS raw data: https://doi.org/10.15121/1367868.; Journal ID: ISSN 1070-485X
Country of Publication:
United States
Language:
English
Subject:
15 GEOTHERMAL ENERGY; heat diffusion; reservoir characterization; thermal diffusivity; distributed temperature sensing; Brady Hot Springs; Brady Power Plant; Nevada; fiber-optic sensors; geothermal; heat flow; inversion; borehole geophysics

Citation Formats

Patterson, Jeremy R., Cardiff, Michael, Coleman, Thomas, Wang, Herb, Feigl, Kurt L., Akerley, John, and Spielman, Paul. Geothermal reservoir characterization using distributed temperature sensing at Brady Geothermal Field, Nevada. United States: N. p., 2017. Web. doi:10.1190/tle36121024a1.1.
Patterson, Jeremy R., Cardiff, Michael, Coleman, Thomas, Wang, Herb, Feigl, Kurt L., Akerley, John, & Spielman, Paul. Geothermal reservoir characterization using distributed temperature sensing at Brady Geothermal Field, Nevada. United States. doi:10.1190/tle36121024a1.1.
Patterson, Jeremy R., Cardiff, Michael, Coleman, Thomas, Wang, Herb, Feigl, Kurt L., Akerley, John, and Spielman, Paul. Fri . "Geothermal reservoir characterization using distributed temperature sensing at Brady Geothermal Field, Nevada". United States. doi:10.1190/tle36121024a1.1.
@article{osti_1422408,
title = {Geothermal reservoir characterization using distributed temperature sensing at Brady Geothermal Field, Nevada},
author = {Patterson, Jeremy R. and Cardiff, Michael and Coleman, Thomas and Wang, Herb and Feigl, Kurt L. and Akerley, John and Spielman, Paul},
abstractNote = {Distributed temperature sensing (DTS) systems provide near real-time data collection that captures borehole spatiotemporal temperature dynamics. For this study, temperature data was collected in an observation well at an active geothermal site for a period of eight days under geothermal production conditions. Collected temperature data showcase the ability of DTS systems to detect changes to the location of the steam-water interface, visualize borehole temperature recovery — following injection of a coldwater “slug” — and identify anomalously warm and/or cool zones. The high sampling rate and spatial resolution of DTS data also shows borehole temperature dynamics that are not captured by traditional pressure-temperature survey tools. Inversion of thermal recovery data using a finite-difference heat-transfer model produces a thermal-diffusivity profile that is consistent with laboratorymeasured values and correlates with identified lithologic changes within the borehole. Used alone or in conjunction with complementary data sets, DTS systems are useful tools for developing a better understanding of both reservoir rock thermal properties as well as within and near borehole fluid movement.},
doi = {10.1190/tle36121024a1.1},
journal = {The Leading Edge},
number = 12,
volume = 36,
place = {United States},
year = {Fri Dec 01 00:00:00 EST 2017},
month = {Fri Dec 01 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on December 1, 2018
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