We carried out
time-lapse analysis in a producing Niger Delta X-field, by first investigating
the response and sensitivity of rock properties/attributes to lithology and
pore fill in 3-D cross plot domain and by Gassmann’s fluid substitution
modeling. Furthermore, 4-D seismic data were inverted into acoustic impedance
volumes through model based inversion scheme. This served as input into a
multi-attribute neural network algorithm for the extraction of rock attribute
volumes based on the results of the petrophysical log analysis. Subsequently,
horizon slices of rock properties/ attributes were extracted from the inverted
seismic data and analyzed. In this way, we mapped hydrocarbon depleted wells in
the field, and identified probable by-passed hydrocarbon zones. Thus, the
integration of well and time lapse seismic (4-D) data in reservoir studies has
remarkably improved information on the reservoir economic potential, and
enhanced hydrocarbon recovery factor.
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