The upper Albian shelf reservoir at deepwater Gambia is modelled as deltaic and basin floor fan plays, identified based on seismic and well data characterization as well as sequence stratigraphy. There are recently proven Albian shelf reservoirs in the neighboring Senegal waters, the SNE field, which become the motivation for exploring the deepwater Gambia, and to spud the first well for offshore The Gambia in 40 years. Recent discovery wells in the deepwater MSGBC basin have shown that the main geological risk in finding prospective leads in this region will depend on the understanding of reservoir presence and the distribution of reservoir effectiveness, where these are mainly influenced by the presence of quartz and calcite and their cementation rate. This paper describes the effort in integrating geological information as a basis to develop the best geophysical approach as part of a derisking tool for exploration lead and prospect screening. The main objective is to develop a predictive tool which combines the benefit of understanding the rock properties under these geological circumstances with the elastic properties as a representative seismic response to enhance the reliability of the model in predicting reservoir effectiveness distribution. This analysis allows us to effectively reduce the uncertainty in the prediction of low contrast reservoir from the seismic data.
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