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.

Data e Risorse

Campo Valore
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\u201322, 2014.\r\n\r\n\r\n\""
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\""
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Gruppi
  • AmeriGEOSS
  • Global Provider
Tag
  • 3-d-simulation
  • amerigeo
  • amerigeoss
  • carbon-capture-and-storage
  • ccs
  • ckan
  • co2-storage
  • edx
  • energy
  • energy-data-exchange
  • geo
  • geocellular-modeling
  • geologic-modeling
  • geology
  • geoss
  • global
  • modeling
  • programming
  • python
  • scripting
isopen True
license_id odc-odbl
license_title Open Data Commons Open Database License (ODbL)
license_url http://www.opendefinition.org/licenses/odc-odbl
maintainer Charles D. Gorecki
maintainer_email cgorecki@undeerc.org
metadata_created 2025-11-25T22:58:58.717837
metadata_modified 2025-11-25T22:58:58.717841
notes 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.
num_resources 1
num_tags 20
title Workflow Optimization Using Python Programming, a Tool Kit for Every Geoscientist