Conditioning surface-based models to well and thickness data
- Surface-based models imitate a sequence of depositional events in time. By considering sedimentation processes, these algorithms produce highly realistic subsurface structures from a variety of environments. However, since depositional events are forward-modeled, they cannot be directly conditioned to data. Therefore, conditioning requires solving a possibly expensive inverse problem. In this study, an optimization scheme is developed that allows conditioning turbidite simulation to thickness information and well data. The methodology is applied to three real data sets.
|Type of resource
|electronic; electronic resource; remote
|1 online resource.
|Stanford University, Department of Energy Resources Engineering
|Statement of responsibility
|Submitted to the Department of Energy Resources Engineering.
|Thesis (Ph.D.)--Stanford University, 2011.
- © 2011 by Antoine Bertoncello
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