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Title: Petrophysical Well Log Interpretation Dataset

Abstract

Dataset containing 646 petrophysical well log interpretations spanning multiple geologic domains (as defined by Subsurface Trend Analysis™) in the Gulf of Mexico. Well logs were manually interpreted by geologic researchers at NETL and were derived from BOEM Sands and IHS data raster logs.

Creator(s)/Author(s):
; ; ; ; ; ;
Publication Date:
Other Number(s):
3feba8f4-3d75-467b-a03a-b3d3f77225f1
DOE Contract Number:  
DE FE-1022403
Product Type:
Dataset
Research Org.:
National Energy Technology Laboratory - Energy Data eXchange; NETL
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
Keywords:
Petrophyiscal; Wells Logs
OSTI Identifier:
1560053
DOI:
10.18141/1560053

Citation Formats

Bean, Andrew, Romeo, Lucy, Justman, Devin, DiGiulio, Jennifer, Miller, Roy, Cameron, Emily, and Rose, Kelly. Petrophysical Well Log Interpretation Dataset. United States: N. p., 2019. Web. doi:10.18141/1560053.
Bean, Andrew, Romeo, Lucy, Justman, Devin, DiGiulio, Jennifer, Miller, Roy, Cameron, Emily, & Rose, Kelly. Petrophysical Well Log Interpretation Dataset. United States. doi:10.18141/1560053.
Bean, Andrew, Romeo, Lucy, Justman, Devin, DiGiulio, Jennifer, Miller, Roy, Cameron, Emily, and Rose, Kelly. 2019. "Petrophysical Well Log Interpretation Dataset". United States. doi:10.18141/1560053. https://www.osti.gov/servlets/purl/1560053. Pub date:Wed Apr 10 00:00:00 EDT 2019
@article{osti_1560053,
title = {Petrophysical Well Log Interpretation Dataset},
author = {Bean, Andrew and Romeo, Lucy and Justman, Devin and DiGiulio, Jennifer and Miller, Roy and Cameron, Emily and Rose, Kelly},
abstractNote = {Dataset containing 646 petrophysical well log interpretations spanning multiple geologic domains (as defined by Subsurface Trend Analysis™) in the Gulf of Mexico. Well logs were manually interpreted by geologic researchers at NETL and were derived from BOEM Sands and IHS data raster logs.},
doi = {10.18141/1560053},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {4}
}

Dataset:

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