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Globigerina limestone reservoir is a unique clastic carbonate that boasts outstanding porosity of up to 50%, with permeability ranging from 0.1mD to 500mD. Exploration wells encountered heterogenic reservoir quality from excellent (MBH-1) to poor (MBJ-1). To de-risk near-field prospects by avoiding poor reservoir quality, the integration of petrophysical evaluation and advanced seismic analysis was conducted.
The petrophysical evaluation provides reservoir properties such as Vclay, porosity, flow units, permeability, and water saturation to identify sweet-spot intervals. Advanced seismic analysis such as AI, SI, Vp/Vs, and Poisson’s ratio was generated to identify potential reservoirs and predict rock quality inside gas gas-bearing areas. The research is done by utilizing core data, wireline logs, and 3D seismic.
Results from this research, indicate that AI is powerful in identifying hydrocarbon potential areas surrounding the Bangau-3D seismic area. The second result is using a certain range of AI combined with elastic parameters can help to predict rock quality in certain prospects. Finally, the integration of reservoir characterization and advanced seismic analysis can help to distinguish the medium to the best quality of reservoir rock that should be used as a target for the exploration wells.