GEOSTATISTICAL MODELLING OF RESERVOIR QUALITY OVER'BRIGHT' FIELD,NIGER DELTA.

The quality of any hydrocarbon-bearing reservoir is vital for a successful exploitation work.. function its petrophysical parameters. Hence the need to model these properties geostatistically in order determine away from well locations.Composite logs four wells and 3-D seismic data were used analysis. A named Sand X was mapped correlated across 1 through 4. indicators - Effective porosity, permeability, volume shale net-to-gross- estimated modelled field. Sequential Gaussian simulation algorithm employed distribute stochastically locations five realizations generated. varied 0.025 (Well 1, second realization) 0.18(Well 2, first realization). net-to-gross 0.81 0.96 3 4 respectively, third realization, while effective porosity 0.125 0.295 fifth realization Wells respectively. permeability above 5000mD at all existing locations.These ranked using Lp norm statistical tool pick best further evaluation. deduced analyzed favourably high reservoir.The application geostatistics has laterally enhanced log resolution established locations.