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Subsurface Trend Analysis domains for the northern Gulf of Mexico

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Geologic domains for the northern Gulf of Mexico derived using the Subsurface Trend Analysis (STA) method. The domains were postulated using geologic province, lithologic, and structural information and validated using statistical methods.

Publication detailing the STA method: Rose, K., Bauer, J.R., and Mark-Moser, M. (2020) Subsurface trend analysis, a multi-variate geospatial approach for subsurface evaluation and uncertainty reduction, Interpretation, vol. 8, issue 1 https://library.seg.org/doi/abs/10.1190/int-2019-0019.1

Detailed discussion of domain formation and analysis: Mark-Moser, M., Miller, R., Bauer, J., Rose, K., and C. Disenhof. 2018, Analysis of Subsurface Reservoir Properties Using a Novel Geospatial Approach, Offshore Gulf of Mexico. NETL-TRS-2018 https://edx.netl.doe.gov/dataset/detailed-analysis-of-geospatial-trends-of-hydrocarbon-accumulations-offshore-gulf-of-mexico

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"OpenStreetMap contributors"

OSTI Info

Field Value
Id 284fd52c-124d-4658-9e03-8789e59d3857
Dataset Type AS
Contract Nos 1022409
Org Research Org NETL
Language English
Country US
Sponsor Org USDOE Office of Fossil Energy (FE)
Site Url https://edx.netl.doe.gov/dataset/subsurface-trend-analysis-domains-for-the-northern-gulf-of-mexico
Contact Name MacKenzie Mark-Moser
Contact Org National Energy Technology Laboratory
Doi 10.18141/1606228

Additional Info

Field Value
Maintainer Kelly Rose
Last Updated March 26, 2020, 15:55 (LMT)
Created March 25, 2020, 18:03 (LMT)
Citation Mark-Moser, M. Subsurface Trend Analysis domains for the northern Gulf of Mexico, 3/25/2020, https://edx.netl.doe.gov/dataset/subsurface-trend-analysis-domains-for-the-northern-gulf-of-mexico, DOI: 10.18141/1606228
Netl Product yes
Organization National Energy Technology Laboratory
Osti yes
Poc Email brian.dressel@netl.doe.gov
Point Of Contact Brian Dressel
Program Or Project RIC
Project Number 1022409
Publication Date 2020-03-25
Spatial {"type":"MultiPolygon","coordinates":[[[[-83.0126953125,29.075375179558346],[-83.0126953125,25.085598897064752],[-95.7568359375,25.085598897064752],[-95.7568359375,29.075375179558346],[-83.0126953125,29.075375179558346]]]]}