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Workflow Optimization Using Python Programming, a Tool Kit for Every Geoscientist
License(s):
Open Data Commons Open Database License (ODbL)
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.
Additional Info
| Field |
Value |
| Maintainer |
Charles D. Gorecki |
| State |
active |
| 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.
|
| Ecological Region |
Terrestrial |
| Is NETL associated |
Yes |
| NETL Point of Contact |
Andrea McNemar |
| NETL Point of Contact's Email |
Andrea.McNemar@NETL.DOE.GOV |
| NETL program or project |
Carbon Storage Program |
| Organization |
Energy & Environmental Research Center |
| Organization Acronym |
EERC |
| Organization Description |
A non-profit division of the University of North Dakota |
| spatial |
Show Spatial
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|
