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3D static reservoir modelling: a case study of the Izu Field, coastal swamp depobelt, Niger Delta Basin

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Abstract

3D reservoir modelling technique is imperative in hydrocarbon prospect studies because it accelerates the development of reservoir prediction models linked to significant hydrocarbon plays. The current study utilises a 3D reservoir modelling approach to evaluate reservoir properties and estimate the hydrocarbon reservoir volume of the E-sand reservoir, Izu Field, coastal swamp depobelt, Niger Delta Basin. The study reveals that the reservoir consists of channelised shoreface facies within a regressive marine setting, and the facies nomenclature includes channel sands, upper shoreface, and lower shoreface sands. The observed structural styles suggest fault-controlled structures favourable for hydrocarbon trapping, with collapsed crestal structures reflected as the most dominant structural style within the study area. The volumetric studies for the E-sand reservoir respectively reflect a base case, high case, and low case of 26 MMSTB (million stock tank barrels of oil), 30 MMSTB, and 22 MMSTB of oil initially in place (STOIIP), and a base case, high case, and low case of 33.3BSCF (Billion Standard Cubic Feet), 39.2BSCF, and 27.3BSCF of gas initially in place (GIIP). Sensitivity analysis using the tornado plot reflects uncertainties in net to gross, porosity, and gross rock volume (GRV) due to depth conversion as indices affecting volumetric estimation; however, these were mitigated using three realisations: base case, lower case, and high case. The robust interpretation techniques offered in this investigation provide a structure that reveals various aspects of the investigated reservoir, including its heterogeneity, which is an essential consideration for development and production forecasting.

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Correspondence to Brume Overare.

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Ugwu, I.J., Okobiebi, O.O., Overare, B. et al. 3D static reservoir modelling: a case study of the Izu Field, coastal swamp depobelt, Niger Delta Basin. Arab J Geosci 16, 42 (2023). https://doi.org/10.1007/s12517-022-11114-1

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