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

Authors

  • 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

DOI:

https://doi.org/10.30564/jgr.v3i1.2805

Abstract

The quality of any hydrocarbon-bearing reservoir is vital for a successful exploitation work.. The reservoir quality is a function of its petrophysical parameters. Hence the need to model these properties geostatistically in order to determine the quality away from well locations.Composite logs for four wells and 3-D seismic data were used for the analysis. A reservoir named Sand X was mapped and correlated across wells 1 through 4. The four reservoir quality indicators - Effective porosity, permeability, volume of shale and net-to-gross- were estimated and modelled across the field.Sequential Gaussian simulation algorithm was employed to distribute these properties stochastically away from well locations and five realizations were 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 Wells 3 and 4 respectively. The permeability is above 5000mD at all the existing well locations.These realizations were ranked using Lp norm statistical tool to pick the best for further evaluation. The reservoir quality deduced from the analyzed indicators was favourably high across the reservoir.The application of geostatistics has laterally enhanced the log data resolution away from established well locations.

Keywords:

Probabilistic; Lp norm; Modelling; Gaussian; Stochastic

References

[1] 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.

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

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

[4] International energy agency. World energy outlook,2007

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

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

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

[8] 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.

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

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

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

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

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

[14] 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.

[15] 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.

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

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

[18] 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.

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How to Cite

J, A. S., T, O. M., & A, E. P. (2021). Geostatistical Modelling of Reservoir Quality Over “Bright” Field,Niger Delta. Journal of Geological Research, 3(1), 22–29. https://doi.org/10.30564/jgr.v3i1.2805

Issue

Vol. 3 , Iss. 1 (January 2021)

Article Type

Articles

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Copyright © 2021 Abe, S.J, Olowokere, M. T, Enikanselu, P. A

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