Combined Use of Object-Based Models, Multipoint Statistics and Direct Sequential Simulation for Generation of the Morphology, Porosity and Permeability of Turbidite Channel Systems

Abstract

This work presents a new methodology for simulating the morphology and petrophysical properties of hydrocarbon reservoirs in turbidite channel systems. The simulation of the morphology uses an object-based algorithm that imposes multipoint statistics of azimuth angle classes and cdfs of width and thickness as measured from training images of channels. A facies is then assigned to each block of the reservoir grid according to a conceptual model of facies both laterally and vertically within the channels. Following this, as each facies has a specific cdf for both porosity and permeability, simulated images of these petrophysical properties are generated using direct sequential simulation (DSS) with local histograms. For illustrative purposes, a case study of a reservoir in the Lower Congo Basin is presented.