Abstract
Seismic data, Well log data and 3D object generated training image were made available for the study. Visual inspection of the seismic data revealed channel fills in Hatch field Offshore Niger Delta Basin. Two continuous reservoirs named reservoir-D and reservoir-E were penetrated by four and five wells and their lithofacies correlated across the field. The reservoirs in the field were investigated for their lithofacies and channel sand distribution using Multiple Point Geostatistics algorithm of Single Normal Equation Simulation (SNESIM) and Filter-based Simulation (FILTERSIM). The results from the simulations revealed that the training image mean, and
variance is 0.60083 and 0.239835. The mean and variance ensemble histogram for reservoir-D using SNESIM algorithm is 0.598 and 0.240, and that for reservoir-E is 0.599 and 0.240. The mean of means and the mean of the variance ensemble histogram for reservoir-D using FILTERSIM algorithm is 0.681 and 0.217, and that for reservoir-E is 0.683 and 0.216. The results shows that the SNESIM algorithm shows greater similarity to the training image mean and variance than the FILTERSIM algorithm and thus would be preferred in Hatch field.