Advertisement

Abstract

Porosity is one of the basic petrophysical properties because it provides the necessary storage for hydrocarbon accumulation. Determining the porosity distribution of a reservoir is a necessary step in describing the pores in subsurface formations. Generally, it is also a good practice to model porosity before modeling other petrophysical properties because porosity typically has more data. Other petrophysical properties, such as fluid saturation and permeability, are usually correlated to porosity and can be modeled on the basis of their relationship after the porosity model is constructed.

References

  1. Ma, Y. Z. (2010). Error types in reservoir characterization and management. Journal of Petroleum Science and Engineering.  https://doi.org/10.1016/j.petrol.2010.03.030.CrossRefGoogle Scholar
  2. Ma, Y. Z., & Royer, J. J. (1994). Optimal filtering for non-stationary images. IEEE 8th Workshop on IMDSP, pp. 88–89.Google Scholar
  3. Ma, Y. Z., Seto, A., & Gomez, E. (2008). Frequentist meets spatialist: A marriage made in reservoir characterization and modeling. SPE 115836, SPE ATCE, Denver, CO, USA.Google Scholar
  4. Matheron, G. (1973). The intrinsic random functions and their applications. Advances in Applied Probability, 5, 439–468.MathSciNetCrossRefGoogle Scholar
  5. Xu, W. (1996). Conditional curvilinear stochastic simulation using pixel-based algorithms. Mathematical Geology, 28(7), 937–949.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Y. Z. Ma
    • 1
  1. 1.SchlumbergerDenverUSA

Personalised recommendations