Geostatistical Modelling of Reservoir Quality Over “Bright” Field, Niger Delta

Abe S. J (Department of Applied Geophysics, Federal University of Technology, Akure, Nigeria)
Olowokere M. T (Department of Applied Geophysics, Federal University of Technology, Akure, Nigeria)
Enikanselu P. A (Department of Applied Geophysics, Federal University of Technology, Akure, Nigeria)


The quality of any hydrocarbon-bearing reservoir is vital for a successfulexploitation work.. The reservoir quality is a function of its petrophysicalparameters. Hence the need to model these properties geostatistically inorder to determine the quality away from well locations.Composite logsfor four wells and 3-D seismic data were used for the analysis. A reservoirnamed Sand X was mapped and correlated across wells 1 through 4. Thefour reservoir quality indicators - Effective porosity, permeability, volumeof shale and net-to-gross- were estimated and modelled across the field.Sequential Gaussian simulation algorithm was employed to distribute theseproperties stochastically away from well locations and five realizationswere generated. The volume of shale varied from 0.025 (Well 1, second realization) to 0.18(Well 2, first realization). The net-to-gross varied from 0.81 to 0.96 in wells 3 and 4 respectively, for the third realization, while the effective porosity varied from 0.125 to 0.295 for the fifth realization in Wells3 and 4 respectively. The permeability is above 5000mD at all the existingwell locations.These realizations were ranked using Lp norm statistical toolto pick the best for further evaluation. The reservoir quality deduced fromthe analyzed indicators was favourably high across the reservoir.The application of geostatistics has laterally enhanced the log data resolution away from established well locations.


Probabilistic;Lp norm;Modelling;Gaussian;Stochastic

Full Text:



Kupecz, J.; Gluyas J., Block, S. Reservoir quality prediction in sandstones and carbonates: An Overview. In: Kupecz J., GluyasJ. and Block S. (Eds). Reservoir quality prediction in sandstones and carbonates, AAPG Memoir 69, 1997.

Fanchi, J. R. Principles of Applied Reservoir Simulation. 2nd ed., MA, USA, Elsevier Burlington, 2001.

Bellman, R., Dreyfuss, S. Applied Dynamic Programming. Princeton, USA, Princeton University Press, 1962.

International energy agency. World energy outlook, 2007

Love, K. M., Strohmenger, C., Woronow, A., Rockenbauch, K. Predicting Reservoir Quality Using Linear Regression Models and Neural Networks. 1997.

Bloch, S. Empirical predictions of porosity and permeability in sandstones. AAPG Bulletin, 1991, 75: 1145-1160.

Nikravesh, M., Aminzadeh, F., Zadeh, L. A. Soft computing and intelligent data analysis in oil exploration. Ney York, USA, Elsevier, 2003.

Ligtenbert, J. H., Wansink, A. G. Neural Network Prediction of permeability in the El Garia Formation, Ashtart Oilfield, Offshore Tunisia. In: Nikravesh M., Aminzadeh F., Zadeh, L.A (Eds). Developments in Petroleum Science, 2003, 51: 397-411.

Whiteman, A. Nigeria: Its petroleum geology, resources and potential: London. Graham and Trotman,1982; 381 .

Reijers TJF. Selected Chapters on Geology, SPDC of Nigeria, Corporate Reprographic Services, Warri., 1996, 197.

Short KC, Stauble, J. Outline geology of the Niger Delta. AAPG. 1967, Bull 5: 761-779

Frankl, E.J., Cordy, E.A. The Niger Delta Oil Province Recent Development Onshore and Offshore, 7thWorld Petroleum Congress Proceedings, MexicoCity, IB, 1967: 195-209.

Avbovbo, A. A., Tertiary lithostratigraphy of Niger Delta: American Association of Petroleum Geologists Bulletin, 1978, 62: 295-300.

Adesida A, Ehirim, BO. Cenozoic Niger Delta: A guide to its lithosedimentary analysis. SPDC Exploration note 88.002 (Ref: on-shore wells), 1988, 1-10.

Ejedawe, J.E., S.J.L.Coker, D.O. Lambert-Aikhionbare, K.B. Alofe, F.O. Adoh. Evolution of Oil Generating Window and Gas Occurrence in Tertiary Niger Delta Basin. AAPG Bull, 1984, 68: 1744-1751.

Deutsch, C.V. Geostatistical Reservoir Modeling. Oxford University Press, 2002: 376.

Etu-Efeotor, J.O. Fundamentals of petroleum geology. Paragraphic publications, Port Harcourt, Nigeria, 1997, 135.

Adeoti, L., Njoku, O., Olawale, O., Fatoba, J., Musa, B. Static Reservoir Modelling using Well Log and 3-D Seismic Data in a KN Field, Offshore Niger Delta, Nigeria. International Journal of Geoscience, 2014, 5: 99-106.



  • There are currently no refbacks.
Copyright © 2021 James Sunday Abe Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.