Prospect Evaluation of Hydrocarbon Reserves Using 3-D Static Modeling in D-Field Onshore, Niger Delta Basin Area

Abstract

Qualitative and quantitative approaches are often adopted to characterize known reservoir in any given field. A 3-D static modeling has been used to have full understanding of the field of the reservoir uniqueness of the study area, D-field. The hydrocarbon bearing sounds of the field were modelled using 3-D seismic data of the field, integrating with the well log and checkshot data of the field. The stochastic model approach was adopted to distribute the rock properties (Structural and Petrophysical) into a 3D grid using Sequential Gaussian Simulation which identified fifteen (15) major faults across the reservoirs. Reservoirs R_3000 had average thickness of 123 m, net-to-gross of 65%, porosity of 26%, water saturation of 43%, permeability of 1570.649 mD, based on Rider’s classification the reservoir R_3000 shows a very good porosity and an excellent permeability. These values are satisfactory for economic production. The environments of deposition of the reservoirs based on log motifs are interpreted as distributary channel fill and shoreface of the porosity and permeability of D-Field are within the range of values reported in the Niger Delta. Stochastic volumetric analysis estimated that the reservoir of interest to contain a reserve of averagely 14245.50 MMSTB. Furthermore, the integration of these subsurface data (well log and seismic) has led to simulation of a consistent 3-D static model of the reservoir which very well serves as input into the dynamic simulation model, so that forecasting and other sensitivity analysis can be run to provide the basis for effective reservoir management and development strategy.

Keywords: Stochastic model, Qualitative, Quantitative, Gaussian simulation, Static modeling, Volumetric

DOI: 10.7176/JEES/12-3-05

Publication date:March 31^st 2022