Porosity prediction from seismic inversion properties over ‘XLD’ field, Niger Delta

Abstract

The study attempts to enhance the characterization of subsurface reservoirs by improving the spatial prediction of petrophysical properties through integration of petrophysical measurements and 3D seismic observations in a field in the Southern part of Nigeria. This goal is fulfilled by the use of a-priori multi-regression analysis on seismic simultaneous inversion properties, a functional relationship between measured porosity log and seismic inversion properties derived at the well location. Once derived, the relationship is applied to the inversion properties and a porosity cube is generated. Being constrained by physical properties and observations at the well, the resulting porosity estimates from inversion properties are appropriate for making reservoir management decisions. In addition, the result provides a geologically realistic spatial porosity distribution which helps to understand the subsurface reservoirs heterogeneities in the study area.