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Workflow Optimization Using Python Programming, a Tool Kit for Every Geoscientist

This presentation gives an overview of using Python programming to optimize CO2 storage simulations conducted with Computer Modelling Group (CMG) software. Solutions to two problems are discussed. First, spatially representing data from CMG simulation results (e.g., plume outlines) is addressed. Second, a streamlined process for optimizing well placement in the simulation model is given. Presented at the 2014 Rocky Mountain Section AAPG Annual Meeting.

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Maintainer Charles D. Gorecki
Last Updated September 26, 2014, 20:26 (EST)
Created September 26, 2014, 20:02 (EST)
Citation Dotzenrod, N.W., Braunberger, J.R., Klenner, R.C.L., Liu, G., and Gorecki, C.D., 2014, Workflow optimization using Python programming, a tool kit for every geoscientist: Presented at the 2014 Rocky Mountain Section AAPG Annual Meeting, Denver, Colorado, July 20–22, 2014.\r\n\r\n\r\n
Ecological Region Terrestrial
Netl Product yes
Organization Acronym EERC
Organization Description A non-profit division of the University of North Dakota
Poc Email Andrea.McNemar@NETL.DOE.GOV
Point Of Contact Andrea McNemar
Program Or Project Carbon Storage Program
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