Abstract:
A combine use of biofacies, well log, check shot and seismic data were analysed and interpreted
for reservoir connectivity analysis. Using the biofacies data, the abundant and minimum
microfauna were used to delineate maximum flooding surface (MFS) and sequence boundary (SB),
respectively. Environment of deposition surfaces viz channel, lower shoreface and upper shoreface
were delineated from the well log curve. The biofacies analysed result and well log data were
processed and four reservoirs were delineated across wells from west to east direction using the
petrel software. The results of well log analysis were tied to seismic data (seismic to well tie) using
check shot data for horizon and fault mapping. Using coherence attribute analysis, the mapped
fault were enhanced to determine the size, thickness and geometry of the faults. The modelled
faults result were used to determine the impact of the faults on shale gouge ratio (SGR), fault
permeability and reservoir connectivity. Based on the above analyses, thirteen faults (F1 to F13)
comprising of three major (F1, F3 and F7), six (6) antithetic faults ( F2, F4, F5, F9, F10, F11) and
four (4) synthetic faults (F6, F8, F12, F13) were delineated on the structural map, characterized
with sizes ranging from 100 m to 1200 m. Furthermore, the influence of the faults on SGR, fault
permeability established 15 % to 70 % and 0.5 mD to 100 mD respectively. The SGR results
implies poor to good fault sealing capacity of the reservoirs; while that of permeability suggest
fair to good reservoir connectivity. The study findings can be employed to enhance the
hydrocarbon productivity in the field.
