Next Generation Geological Modeling for Hydrocarbon Reservoir Characterization - Advances in Data, Methods, Models and Their Applications in Geoscience - page 226

corner insert of Fig. 9d represents the M-I plane cross-section, indicating the fault location.
The permeability model effectively represents a VOI with no imposed stratigraphic grid and
as such retains the maximum available resolution and information density, limited only by
the resolution of underlying data and MCF.
Fig. 9. Validation of property (permeability) interpolation with the PV method: a) facies
realization used to generate spatially constrained MCF (sand in “blue”, shale in “red”), b)
generated MCF, depicted with MCV's (dimensions of panels a) and b) given in meters), c)
3D visualization of fault displacement vector field and d) interpolated permeability maps
generated with the search anisotropy ratio of 10:1. Dimensions given in meters, color-bar in
mD. Larger image: top view of M-m plane, smaller image: side view of M-I plane.
Permeability maps are smoothed with recursive Gaussian filter (two samples half-width).
2.5 Conditioning reservoir models to production data
Accurate modeling of the hydrocarbon reservoir production behavior is of fundamental
importance in reservoir engineering workflows for optimization of reservoir performance,
operational activities, and development plans. A realistic description of geological
formations and their fluid-flow-related properties, such as lithofacies distribution and