Multiple-Point Geostatistical Modeling of Turbidite and Channel Sands, Deepwater Niger Delta

Abstract

Three dimensional (3D) seismic attributes were used as training image for multiple-point geostatistical modeling of turbidite and channel sands in the inner fold and thrust belt of the deepwater Niger Delta. These turbidite and channel sands have complex depositional geometries. They are difficult to model using variogram-based two-point statistical techniques such as indicator kriging, sequential indicator simulation (SIS) and truncated Gaussian simulation (TGS).