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Title: Data to Support Development of Geologic Framework Models for the Deep Borehole Field Test

Abstract

This report summarizes work conducted in FY2017 to identify and document publically available data for developing a Geologic Framework Model (GFM) for the Deep Borehole Field Test (DBFT). Data was collected for all four of the sites being considered in 2017 for a DBFT site.

Authors:
 [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1392845
Report Number(s):
LA-UR-17-25993
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; Planetary Sciences; Deep Borehole Geologic Framework Model

Citation Formats

Perry, Frank Vinton, and Kelley, Richard E. Data to Support Development of Geologic Framework Models for the Deep Borehole Field Test. United States: N. p., 2017. Web. doi:10.2172/1392845.
Perry, Frank Vinton, & Kelley, Richard E. Data to Support Development of Geologic Framework Models for the Deep Borehole Field Test. United States. doi:10.2172/1392845.
Perry, Frank Vinton, and Kelley, Richard E. Thu . "Data to Support Development of Geologic Framework Models for the Deep Borehole Field Test". United States. doi:10.2172/1392845. https://www.osti.gov/servlets/purl/1392845.
@article{osti_1392845,
title = {Data to Support Development of Geologic Framework Models for the Deep Borehole Field Test},
author = {Perry, Frank Vinton and Kelley, Richard E.},
abstractNote = {This report summarizes work conducted in FY2017 to identify and document publically available data for developing a Geologic Framework Model (GFM) for the Deep Borehole Field Test (DBFT). Data was collected for all four of the sites being considered in 2017 for a DBFT site.},
doi = {10.2172/1392845},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Sep 14 00:00:00 EDT 2017},
month = {Thu Sep 14 00:00:00 EDT 2017}
}

Technical Report:

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