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2018 | 17 | 75-88
Article title

Pore Fluid and Lithology Discrimination of a Well in the Niger Delta Region using Elastic Parameters

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With respect to the high uncertainties associated with methods of determining lithology and pore fluid using well logs, quantitative rock physics analyses was used to determine the lithology and pore fluid of a reservoir in the Niger Delta. Inaccurate prediction of lithology and pore fluid results in the inaccurate determination of other petrophysical properties and parameters such as porosity, permeability, net pay, etc. The primary objective of this research is to predict lithology and pore fluid using rock physics analysis. However, reservoir zones were also predicted. Density, compressional wave velocity and shear wave velocity logs were used as input to calculate elastic parameters such as velocity ratio, Poisson’s ratio and Bulk Modulus. The calculated velocity ratio log was used to differentiate between sand and shale. Poisson’s ratio and velocity ratio using the Goodway interpretation template was carried out and used to delineate pore fluid content; gas sand, oil sand and sandstone formation from cross-plot analysis.
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  • Department of Physics, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
  • Department of Physics, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
  • Department of Physics, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
  • Department of Physics, University of Uyo, Uyo, Akwa Ibom State, Nigeria
  • [1] Akinyokun, O.C., Enikanselu, P.A., Adeyemo, A.B., Adesida, A. (2009). Well log interpretation model for the determination of lithology and fluid contents. The Pacific Journal of Science and Technology 10, pp. 507-517.
  • [2] Bahremandi, M., Mirshahani, M., Saemi, M. (2012). Using of Compressional-Wave and Shear Wave Velocities Ratio in Recognition of Reservoir Fluid Contacts Case Study: A Southwest Iranian Oil Field. Journal of Scientific Research and Reviews. 1(2), 015-019.
  • [3] Brigaud, F., Chapman, D.S., Le Douaran, S. (1990). Estimating thermal conductivity in Sedimentary Basin using lithological data and geophysical well logs. American Association of Petroleum Geologists Bulletin Vol. 74. No. 9. pp. 1459-1477
  • [4] Castagna, J. P., and Batzle, M. L., and Kan, T. K., (1993). Rock physics - The link between rock properties and AVO response, in Castagna, J. P., and Backus, M. M., Eds., Offset-dependent reflectivity-Theory and practice of AVO analysis: Soc. Expl. Geophys. 124-157.
  • [5] Castagna, J.P., Batzle, M.L., Eastwood, R.L. (1985). Relationships between compressional wave and shear wave Velocities in Clastic Silicate Rocks. Geophysics 50(4), pp. 571-581.
  • [6] Chang, H., Kopaska-Merkel, D., Chen. (2002). Identification of lithofacies using Kohonen Self – Organizing Maps. Computers and Geosciences 28, pp. 223-229.
  • [7] Dresser Atlas (1982). Well logging and interpretation techniques. The course for home study, Dresser Atlas Publication.
  • [8] Ellis, D. V., Singer, J. M. (2008). Well Logging for Earth Scientists, Dordrecht, Netherlands, Springer, pp. 692.
  • [9] Fens, T.W., (2000). Petrophysical properties from small rock samples using Image Analysis Technique. Pp. 31, 32. Delft University Press, Stevinw eg 1, 2628 CN, Delft, the Netherlands.
  • [10] Goodway, W. (2001). AVO and Lame’ constants for rock parameterization and fluid detection. Recorder, 26, 39-60.
  • [11] Hami-Eddine, K., Klein, P., Loic, R., Ribet, B., Grout, M., (2015). A new technique for lithology and fluid content prediction from prestack data: An application to carbonate reservoir. Interpretation, 3(1), SC19-SC32.
  • [12] Han, D. and Nur, A., and Morgan, D., 1986, Effects of porosity and clay content on wave velocities in sandstones. Geophysics, 51, 2093-2107.
  • [13] Kearey, P., Brooks, M., Hill, I. (2002). An Introduction to Geophysical Exploration. 3rd Edition. Blackwell Science: Oxford, UK. 236-262.
  • [14] Kupecz, J.A., Gluyas, J., Bloch, S. (1997). Reservoir Quality Prediction in Sandstones and Carbonates: An Overview. American Association of Petroleum Geologists Volume 69. DOI:
  • [15] Saberi, M.R. (2013). Rock physics integration: From petrophysics to simulation. 10th Biennal International Conference and Expositions. P 444.
  • [16] Schlumberger Ltd., (1987). Log Interpretation charts, Houston, Texas.
  • [17] Schlumberger. (1989). Log interpretation, principles, and application. Schlumberger wireline and testing, TX. 21-89
  • [18] Tathan, R.H. (1982). Vp/Vs and Lithology. Geophysics 47 (3), 336-334
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