Adequate analyses of seismic and petrophysical data help to minimize drilling
risk and maximize well and reservoir productivity. Reservoir characterization
was carried out to provide information and improve understanding of the
geological and petrophysical parameters, and hence improve decision making
regarding the development of the field under study. Wireline logs obtained
from three wells as well as a 3D Seismic data coverage of G-field in the Niger
Delta were evaluated using the petrel software. Suites of gamma and deep
resistivity logs aided the delineation and correlation of the sandstone unit,
while the top was tied to the seismic data using synthetic seismogram to
determine seismic characters. Well correlation enabled the delineation of
reservoir sand across the wells. The quality of the reservoir was determined
from petrophysical averages, in which the reservoir has an average thickness
of 72 m, average porosity of 0.31, average net to gross of 0.75, average V-shale of 0.25, and average water saturation of 0.19, respectively. Listric normal
faults were mapped across the field. The models reveal lateral and horizontal
variations in reservoir properties which capture subsurface heterogeneity and
anisotropy across the reservoir sand, and also possible sweet-spot zones were
identified. These are diagnostic of areas for future exploitation and recovery of
hydrocarbon. Seismic attributes analysis was done to predict variation in
lithofacies across the sandstone body