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3D Reservoir Modelling and Hydrocarbon Volume Estimation of “X” Field, Niger Delta, Nigeria

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International Journal of Research and Innovation in Applied Science (IJRIAS) | Volume V, Issue III, February 2020 | ISSN 2454–6186

3D Reservoir Modelling and Hydrocarbon Volume Estimation of “X” Field, Niger Delta, Nigeria

 Kenechukwu O. Ezebialu1, Michael E. Ubituogwale1, Eunice A. Odegua1, Eric U. Eche2, Anthony B. Sunebari2
1Center of Excellence in Geosciences and Petroleum Engineering, University of Benin, Nigeria
2Centre for Petroleum Geosciences, University of Port Harcourt, Port Harcourt, Nigeria 

IJRISS Call for paper

Abstract-The field is prospective but largely underdeveloped as only four vertical wells have been drilled, leading to limited data and/or poor data quality. The aim of this study is to integrate cross-domain data to build a static reservoir model, estimate the in-place hydrocarbon volume and run an uncertainty analysis to validate the estimated volume. Available data include 3D seismic, well data and reservoir fluid properties. The integrated workflow includes petrophysical evaluation, seismic interpretation, facies definition, well correlation, static modelling, static volume estimation and uncertainty analysis. Three reservoirs, designated Reservoir 1, Reservoir 2 and Reservoir 3 were characterized in this project. Average porosity and permeability in the three reservoirs are approximately 30% and 100 millidarcy (mD) respectively. Reservoirs 1 and 3 are gas reservoirs while Reservoir 2 is an oil and gas reservoir. Static volume estimates in the three reservoirs are 1204 Billion Standard Cubic Feet (Bscf) and 308 Bscf of gas in Reservoirs 1 and 3 respectively, and 568 Million Stock Tank Barrel (MMstb) and 384 Bscf of oil and gas respectively in Reservoir 2. Uncertainty analysis was carried out using the Monte-Carlo sampling method in order to validate the estimated static volume in Reservoir 2. The results increased the level of confidence in the initial static volume estimates. Reservoir 2 was focused on due to the higher demand of oil.

 

 

 

 

 

 





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