There are two main parts in the modeling of fractured reservoir. The first part is identification of fractured zones or effective fractured porosity and permeability at wells. The second part is prediction of fractured effects away from existing wells, with help from structure and seismic data. Fractured effect at wells may be identified from well logs, mud logs, and drilling logs. Different reservoir may require different methods.
Integrated evaluation is usually more effective.
Depending on the origin of the fractures, different attributes may contribute to the prediction of fracture presence. These attributes may include lithology, elevation, structure and curvature, seismic amplitude, seismic frequency change, etc. For statistical correlation, there should be sufficient number of wells for the calibration to be statistically significant. Geostatistical Modeling of Heterogeneity and Input for Reservoir Simulation GridSTAT provides easy to use geostatistical modeling of reservoir heterogeneity. Upscaling of fine scale geological model is easy and practical.