Abstract

A reservoir model is always created with a specific goal in mind. During early exploration stages, we may want to estimate the OOIP (original oil in place) in the reservoir; however, during production, we often want to forecast reservoir performance to plan new wells and/or redesign surface facilities. The amount and variety of data available during production stages are considerably larger and ideally the reservoir model needs to simultaneously (not hierarchically) honor all available data, both static (geological and geophysical information) and dynamic (4D seismic and production), to preserve its predictive capabilities.

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