Subsurface Trend Analysis, a Multi-Variate Geospatial Approach for Evaluation of Geologic Properties and Uncertainty Reduction, Interpretation
In press.
Rose, K.; Bauer, J. R.; Mark-Moser, M.
Integrating artificial intelligence with the Subsurface Trend Analysis to predict porous media properties
Presented at AGU Annual Meeting 2019, San Francisco, CA, Dec 9-13, 2019.
Mark-Moser, M.; Rose, K.; Bauer, J.; Wingo, P.; and Suhag, A.
Detailed Analysis of Geospatial Trends of Hydrocarbon Accumulations, Offshore Gulf of Mexico
NETL-TRS-13-2018; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Albany, OR, 2018; p 108. DOI: 10.18141/1461471.
Mark-Moser, M.; Miller, R.; Rose, K.; Bauer, J.; Disenhof, C.
July 2018
https://edx.netl.doe.gov/dataset/detailed-analysis-of-geospatial-trends-of-hydrocarbon-accumulations-offshore-gulf-of-mexico/resource_download/bbc09d03-004d-45dd-98ca-37a1352b0485