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Facies/Rock Type Modeling


Depositional environment and stratigraphic framework modeling has primary impact on all other aspects of reservoir characterization because it is one of the constrain for both 3D property and framework distributions.

All previous sedimentological studies including facies/rock type modeling, core description and their impact on dynamic initialization will be thoroughly studied and all learning from these studies will be incorporated to current modeling effort.

Adequately representation of complex geology in a carbonate reservoir may not be achieved by a simple property modeling.  Reservoir heterogeneities and their impact on connectivity and flow mechanisms frequently characterized by intensive diagenetic overprint, internal reservoir architecture, vertical and lateral variation of rock properties.

Typically, facies is identified by core analysis based on lithology, texture, sedimentological features, capillary curves, petrophysical properties, thin sections and are tied to petrophysical log responses. Distribution pattern of diagenesis and understanding of depositional model will also be considered on rock quality.

The application of the core rock type (CRT) approach to the uncored zones remains uncertain. Correlation of CRT to log response might be used to define rock types at uncored wells. Lithofacies and CRT descriptions later can be used to build the 3-D geological model by SIS as stochastic modeling technique or indicator krigging as deterministic algorithm.

Since the 3-D grid incorporated the sedimentological layering based on facies description, and the sequence stratigraphy analysis. Maps of lateral variations of core type will be used in the 3-D model to provide constraints for depositional orientation, facies changes, etc. Facies model will also be inline with all previous sedimentological and petrophysical studies/data.

Core descriptions, outcrop-based stratigraphy, 2D log cross-sections, isochore maps, 3D well-log correlations are employed to define internal geometry of rock quality distribution.



Lithological information is fully implemented and incorporated into 3D model by estimating facies distributions using a variety of pixel and object based stochastic or deterministic methods. 3D facies model can be conditioned to a seismic property, trend, or objects sampled from seismic according to available soft geological information.



After we complete facies modeling, property modeling is directly guided or separately treated according to facies model.

Throughout the course of facies modeling, dynamic parameters such as Sw, Pc, relative permeability and RQI will always be considered and included in the data set for grouping or definition of rock types. That will enable the methodology serving also to dynamic rock typing effort.