Offshore CO2 Saline Storage Assessment Dataset

Bean, Andrew

doi:10.18141/1560053

Title: Offshore CO2 Saline Storage Assessment Dataset

Dataset
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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. This interpretation dataset underpins the Offshore CO2 Saline Storage Calculator.

Authors:

Bean, Andrew

National Energy Technology Laboratory

Publication Date:: Wed Apr 10 00:00:00 EDT 2019

Other Number(s):: 3feba8f4-3d75-467b-a03a-b3d3f77225f1

Research Org.:: National Energy Technology Laboratory - Energy Data eXchange; NETL

Sponsoring Org.:: USDOE Office of Fossil Energy (FE)

Subject:: Petrophyiscal; Wells Logs

OSTI Identifier:: 1560053

DOI:: https://doi.org/10.18141/1560053

Citation Formats


                    Bean, Andrew. Offshore CO2 Saline Storage Assessment Dataset.  United States: N. p., 2019. 
        Web.  doi:10.18141/1560053.

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                    Bean, Andrew. Offshore CO2 Saline Storage Assessment Dataset.  United States.  doi:https://doi.org/10.18141/1560053

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                    Bean, Andrew. 2019.  
"Offshore CO2 Saline Storage Assessment Dataset".  United States.  doi:https://doi.org/10.18141/1560053.  https://www.osti.gov/servlets/purl/1560053. Pub date:Wed Apr 10 00:00:00 EDT 2019

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@article{osti_1560053,

  title        = {Offshore CO2 Saline Storage Assessment Dataset},

  author       = {Bean, Andrew},

  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. This interpretation dataset underpins the Offshore CO2 Saline Storage Calculator.},

  doi          = {10.18141/1560053},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Apr 10 00:00:00 EDT 2019},

  month        = {Wed Apr 10 00:00:00 EDT 2019}

}

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DOI: https://doi.org/10.18141/1560053

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