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“Advance Reservoir Characterization and Imaging Specialist”

 

PORE FLUID PREDICTION
in Complex Reservoir Using Hybrid Rock Physics and Statistical Neural Network
 

Reservoir characterization is an essential part of building robust dynamic models for making reliable predictions. A good definition of reservoir rock types should relate somehow the geological facies to their petrophysical properties i.e pore fluid).

 

Instead of porosity, permeability of the rock reservoir, the type of fluid is important to know the hydrocarbon saturation of the reservoir in order to estimate the total reserves and to determine if the accumulation is commercial. The saturation of a formation is defined as the fraction of its pore volume occupied by the considered fluid. Since direct sampling of the fluid reservoir is not technically and commercially efficient and determining of fluid saturation in the laboratory are expensive and time-consuming procedure, indirect determination from well logs measurements is the common approach.

 

FLUID MAP PREDICTION
USING PCA AND ARTIFICIAL INTELLIGENCE METHODS
WELL TO SEISMIC FLUID SECTION PREDICTION
USING PCA AND ARTIFICIAL INTELLIGENCE METHODS
STATISTICAL SEISMICS ROCK PHYSICS ANALYSIS USING PCA METHODS