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Statistical relationships among some formation parameters for Sherwood Sandstone, England

  • M. O. Olorunfemi
Article

Abstract

Statistical analysis of laboratory data indicates that intergranular permeability of the Sherwood Sandstone is influenced mainly by its porosity and matrix conductivity. At weak electrolyte concentrations, matrix conductivity is the most significant factor influencing induced polarization of saturated Sherwood Sandstone.

Key words

statistical analysis formation parameters hydrogeology 

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References

  1. Barker, R. D. and Worthington, P. F., 1973, Some hydrogeophysical prosperities of the Bunter Sandstone of North West England: Geoexploration, v. II, p. 151–170.Google Scholar
  2. Collar, F. A., 1979, Electrical induced polarization of saturated Bunter Sandstone: unpublished Ph.D. thesis, University of Birmingham.Google Scholar
  3. Davis, J. C., 1973, Statistics and data analysis in geology: John Wiley & Sons, New York, p. 423–427.Google Scholar
  4. Krumbein, W. C., 1959, The “sorting out” of geological variables illustrated by regression analysis of factors controlling beach firmness: Jour. Sed. Pet., v. 29, no. 4, p. 575–587.Google Scholar
  5. Krumbein, W. C. and Graybill, F. A., 1965, An introduction to statistical models in geology: McGraw-Hill, New York, 460 p.Google Scholar
  6. Olorunfemi, M. O., 1981, Induced polarization in the Sherwood Sandstone and its application in Hydrogeology: Unpublished Ph.D. thesis, University of Birmingham.Google Scholar
  7. Olorunfemi, M. O. and Griffiths, D. H., 1984, A laboratory investigation of the induced polarization of the Triassic Sherwood Sandstone of Lancashire and its hydrogeological application: Geophys. Prospect., v. 32, p.Google Scholar

Copyright information

© Plenum Publishing Corporation 1985

Authors and Affiliations

  • M. O. Olorunfemi
    • 1
  1. 1.Department of GeologyUniversity of IfeIle-IfeNigeria

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