Skip to main content
Log in

On the bias and sampling variation of the harmonic average

  • Published:
Mathematical Geology Aims and scope Submit manuscript

Abstract

We derive the bias and sampling variation of the harmonic average. These expressions, based on the lognormal distribution, are validated using Monte Carlo and jackknife analysis of field data. The average has a positive bias. The sampling variation results suggest that, for moderate to large sample sizes, the harmonic average is no more variable than the arithmetic average if the medium is appropriately sampled.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Barakat, R., 1976, Sums of independent lognormally distributed random variables: J. Opt. Soc. Am., v. 66, no. 3, p. 211–216.

    Article  Google Scholar 

  • Corbett, P. W. M., and Jensen, J. L., 1992, Estimating the mean permeability: How many mea- surements do you need?: First Break, v. 10, no. 3, p. 89–94.

    Google Scholar 

  • Desbarats, A. J., and Dimitrakopoulos, R., 1990, Geostatistical modeling of transmissibility for 2D reservoir studies: SPE Form. Eval., v. 5, no. 4, p. 437–443.

    Google Scholar 

  • Hald, A., 1952, Statistical theory with engineering applications: John Wiley & Sons, New York, 783 p.

    Google Scholar 

  • Haldorsen, H. H., and Chang, D. M., 1986, Notes on stochastic shales: from outcrop to simulation model,in Lake, L. W., and Carroll, H. B., eds., Reservoir characterization: Academic Press, Orlando, Florida, p. 445–486.

    Google Scholar 

  • Hurst, A., and Rosvoll, K. J., 1991, Permeability variations in sandstones and their relationship to sedimentary structures,in Lake, L. W., Carroll, H. B., and Wesson, T. C. eds., Reservoir characterization II: Academic Press, Orlando, Florida, p. 166–196.

    Google Scholar 

  • Jacobsen, T., and Rendall, H., 1991, Permeability patterns of some fluvial sandstones. An outcrop study from Yorkshire, North East England,in Lake, L. W., and Carroll, H. B., eds., Reservoir characterization: Academic Press, Orlando, Florida, p. 315–338.

    Google Scholar 

  • Johnson, N. L., and Kotz, S., 1970, Continuous univariate distributions-1: John Wiley & Sons, New York, 300 p.

    Google Scholar 

  • Kittridge, M. G., Lake, L. W., and Lucia, F. J., and Fogg, G. E., 1990, Outcrop/subsurface comparisons of heterogeneity in the San Andres Formation: SPE Form. Eval., v. 5, no. 3, p. 233–240.

    Google Scholar 

  • Muskat, M., 1937, The flow of homogeneous fluids through porous media: McGraw-Hill Book Co., New York, 763 p.

    Google Scholar 

  • Thomas, S. D., Corbett, P. W. M., and Jensen, J. L., 1996, Permeability and permeability ani- sotropy characterisation in the near well-bore: a numerical model using probe permeability and formation micro-resistivity data,in Proc. SPWLA 37th Ann. Symposium (New Orleans, Lou- isiana), Paper JJJ, 14 p.

  • Weber, K. J., 1987, Computation of initial well productivities in aeolian sandstone on the basis of a geological model, Leman Gas Field, U. K.,in Tillman, R. W., and Weber, K. J., eds., Reservoir sedimentology: Soc. Econ. Paleontologists and Mineralogists Spec. Publ. 40, p. 333–354.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jerry L. Jensen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jensen, J.L., Thomas, S.D. & Corbett, P.W.M. On the bias and sampling variation of the harmonic average. Math Geol 29, 267–276 (1997). https://doi.org/10.1007/BF02769632

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02769632

Key Words

Navigation