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This study presents an integrated reservoir characterization and static modelling assessment of the B9300, H1400 and J9400 reservoirs in the Albite Field. Seismic interpretation, structural mapping, depositional analysis, facies and petrophysical modelling, fluid-contact evaluation, volumetric estimation and uncertainty analysis were combined to assess reservoir architecture, quality, connectivity and hydrocarbon potential. Structural interpretation revealed a fault-controlled system dominated by growth faults that govern trap formation, compartmentalization and fluid distribution. Depositional analysis showed a transition from high-energy fluvial channels in B9300, through mixed fluvio-tidal conditions in H1400, to marine-influenced, shale-rich settings in J9400, producing increasing heterogeneity and declining reservoir quality with depth. B9300 is sand-rich, with high porosity, permeability, net-to-gross and hydrocarbon saturation, and excellent lateral and vertical connectivity. H1400 holds significant hydrocarbon volumes but shows higher shale content, facies variability and fault-related compartmentalization, giving moderate quality and greater uncertainty. J9400 is shale-dominated, with low effective porosity and permeability, high water saturation and poor connectivity. Fluid-contact modelling confirmed structurally controlled accumulations, with B9300 displaying the most extensive and continuous hydrocarbon columns and H1400 and J9400 progressively smaller, more isolated accumulations. Volumetric analysis yielded P50 STOIIP estimates of about 550 MMstb (B9300), 860–900 MMstb (H1400) and 252 MMstb (J9400). Structural uncertainty was negligible, with volumetric variability controlled mainly by petrophysical properties, facies distribution and connectivity. B9300 is the most attractive development target, H1400 is volumetrically significant but moderately uncertain, and J9400 has limited economic potential. These results provide a framework for reservoir management, field development planning and future dynamic simulation.
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Obihan et al. (2026) studied this question.
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