--> Identification of Hydrocarbon Reservoirs from Seismic Gathers AVO Analysis in the Offshore Niger Delta, by A. Adekanle; #90037 (2005)
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Identification of Hydrocarbon Reservoirs from Seismic Gathers Previous HitAVONext Hit Previous HitAnalysisNext Hit in the Offshore Niger Delta

A. Adekanle
Federal University of Technology, Akure, Nigeria

Previous HitAmplitudeNext Hit Variation with Previous HitOffsetNext Hit (Previous HitAVONext Hit) Previous HitanalysisNext Hit was carried out in an offshore Niger Delta field. The study consisted of forward modeling from rock parameters measured from well logs and Previous HitAVONext Hit Previous HitanalysisNext Hit of events on pre-stack time migrated seismic gathers. Forward modeling predicted specific Previous HitAVONext Hit behaviour of hydrocarbon bearing reservoir sands in the field. Density, compressional and shear wave velocity logs, combined with a wavelet extracted from recorded seismic gathers were used to generate synthetic seismic gathers and Gassmann fluid substitution models. These synthetics supported key observations made of the Previous HitAVONext Hit response in the field data. Previous HitAVONext Hit attributes (intercept and gradient) were derived from Previous HitanalysisNext Hit of Common Depth Point (CDP) gathers obtained from a 3D Ocean Bottom Cable (OBC) seismic survey. The attributes were cross-plotted to establish trends against which anomalous Previous HitamplitudeNext Hit behaviour were identified. Reflections related to shales and brine sands exhibit a relatively small range of orientations creating a dominant "background trend" against which anomalous events related to hydrocarbon-saturated reservoirs show clear deviations. On the basis cross-plot Previous HitanalysisNext Hit (reflectivity Previous HitversusNext Hit Previous HitoffsetNext Hit / angle and and intercept Previous HitversusNext Hit gradient), Class 3 type Previous HitAVONext Hit anomalies are shown to be associated with hydrocarbons in the field. This anomalous Previous HitamplitudeTop behaviour allows identification of hydrocarbon reservoirs in this area of the Niger Delta.