Add geological realism to static models

A key challenge in reservoir facies modeling is that well density is often too low for two-point statistics algorithms to produce geologically realistic results. This architectural misrepresentation can lead to poor prediction of flow barriers, baffles, and thief zones.

Critically evaluate the implications of geological interpretations on static modeling.

Consider whether certain aspects of the model should be defined in a deterministic manner since they will be poorly predicted by stochastic algorithms.

Use the Characterize Environments application to explore possible local and regional depositional environments within the interval and assess their tendency to form homogeneous or heterogeneous reservoir units.

Use the View Analog and Dimensional Data application to examine the natural variability of these systems and the influence of depositional processes, shoreline geometry, and local factors such as delta lobe distribution, channel belt characteristics, and mouth bar development.

Let conceptual geological models guide the selection of stochastic algorithms most likely to produce reasonable results for each part of the model.