Reservoir parameters estimation from well log and core data: a case study from the North Sea

Abstract

In this paper we present an integrated approach to derive reservoir parameters from core and well-log data in clay–sand mixtures. This method is based on matching core and log data, and the linear and non-linear regressions are then used to build respective relationships between core and log data to determine formation parameters such as porosity, shale volume, clay content, permeability and fluid saturation. This information is then fed into a velocity prediction model to estimate seismic parameters such as elastic moduli, shear wave velocity and anisotropy coefficients. Finally, we test the method on real data from the North Sea and show that reservoir parameters can be accurately predicted.