Abstract:
Structural interpretation and inversion analysis were used to characterize hard-to-image
reservoirs, predict subsurface inter-well reservoir properties for optimum reservoir heterogeneity
description and to fine-tune drilling locations in „DJ‟Field Niger Delta. Post-stacked 3D seismic
data, Composite Well logs, and velocity checkshot data were used for the reservoir analysis. The
study entailed mapping of structural framework, horizon picking, wavelet extraction, log editing
and correlation, building of low frequency model, acoustic impedance inversion and crossplot
analysis of reservoir properties. Four major antithetic, three regional and five minor faults were
identified. The inversion results revealed an acoustic impedance range of 9700 to 25000
((ft/s)*(g/cc)) and porosity range of 25% to 45% within the hydrocarbon bearing sands.
Crossplot analysis of poisson and Vp/Vs ratio against acoustic impedance revealed poisson ratio
range of 0.30 to 0.45, and Vp/Vs ratio range of 1.3 to 2.50 within the delineated hydrocarbon
bearing sandstone. The overall correlation coefficient between the inverted and actual impedance
was about 98% across the eight wells. Acoustic Impedance slice at 2300 ms revealed low
acoustic impedance sand within the range of 13,000 to 24,000 ((ft/s)*(g/cc)) at the western and
central part of the field. Comparing the acoustic impedance slice and seismic attribute maps at
the target reservoir zones, these zones are characterized by high reflection amplitudes (bright
Spot) which are indicative of hydrocarbon accumulation. The analyses of the maps show the
lateral extent of the identified reservoir sands and gave room for identification of new prospect.
The research has employed seismic and well log data to predict more reliable drillable
location/site by lithologic/fluid discrimination in the analysis of delineated reservoirs in the study
area.
