Title: Conductance Steamflow relationship

Abstract

These histograms represent our calibration of conductance of a volcanic geothermal field (with a clay cap) and the observed steam flow rates. See the following paper for further description: Trainor-Guitton, Hoversten,Nordquist, Intani, Value of information analysis using geothermal field data: accounting for multiple interpretations & determining new drilling locations. SEG Abstracts 2015.

Authors:
+ Show Author Affiliations
  1. Lawrence Livermore National Laboratory
Publication Date:
Other Number(s):
486
DOE Contract Number:  
;
Research Org.:
DOE Geothermal Data Repository; Lawrence Livermore National Laboratory
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Collaborations:
Lawrence Livermore National Laboratory
Subject:
15 GEOTHERMAL ENERGY; conductance; electrical conductance; geothermal; histogram; histogrma; probabilistic; probability; steam flow; volcanic
OSTI Identifier:
1179036
DOI:
https://doi.org/10.15121/1179036

Citation Formats

Trainor-Guitton, Whitney. Conductance Steamflow relationship. United States: N. p., 2015. Web. doi:10.15121/1179036.
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Trainor-Guitton, Whitney. Conductance Steamflow relationship. United States. doi:https://doi.org/10.15121/1179036
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Trainor-Guitton, Whitney. 2015. "Conductance Steamflow relationship". United States. doi:https://doi.org/10.15121/1179036. https://www.osti.gov/servlets/purl/1179036. Pub date:Tue Mar 31 20:00:00 EDT 2015
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@article{osti_1179036,
title = {Conductance Steamflow relationship},
author = {Trainor-Guitton, Whitney},
abstractNote = {These histograms represent our calibration of conductance of a volcanic geothermal field (with a clay cap) and the observed steam flow rates. See the following paper for further description: Trainor-Guitton, Hoversten,Nordquist, Intani, Value of information analysis using geothermal field data: accounting for multiple interpretations & determining new drilling locations. SEG Abstracts 2015.},
doi = {10.15121/1179036},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {3}
}
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Dataset:
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DOI: https://doi.org/10.15121/1179036
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