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Training Image Characterization and Multipoint Statistical Modeling of Clastic and Carbonate Formations
OwnerNational Energy Technology Laboratory (NETL) - view all
Update frequencyunknown
Last updatedabout 1 year ago
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Overview

This presentation gives an overview of using multiple-point statistics and training images to construct geocellular models. A model of the Inyan Kara Formation is given as an example of using a fluvial training image. Presented at the 2014 Rocky Mountain Section AAPG Annual Meeting.

CCSCO2 storageGeologyModelingcarbon capture and storagecarbonatecarbonatesclasticgeocellular modelinggeocellular modeling training imagegeologic modelingmultiple-point statisticstraining image
Additional Information
KeyValue
citationKlenner, R.C.L., Braunberger, J.R., Dotzenrod, N.W., Bosshart, N.W., Peck, W.D., and Gorecki, C.D., 2014, Training image characterization and multipoint statistical modeling of clastic and carbonate formations: Presented at the 2014 Rocky Mountain Section AAPG Annual Meeting, Denver, Colorado, July 20–22, 2014.
ecological_regionTerrestrial
netl_productyes
organization_acronymEERC
organization_descriptionNon-profit division of the University of North Dakta
poc_emailAndrea.McNemar@NETL.DOE.GOV
point_of_contactAndrea McNemar
program_or_projectCarbon Storage Program
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