{"creator_user_id": "1dbb7f0c-5b72-443c-b401-92e8f1d9ffbd", "id": "e8cd700e-7ed8-4bb3-818d-ed2ee493664c", "maintainer": "Charles D. Gorecki", "maintainer_email": "cgorecki@undeerc.org", "metadata_created": "2014-09-26T20:02:57.109824", "metadata_modified": "2014-09-26T20:26:39.198448", "name": "workflow-python-programming", "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.    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