The Application of Geostatistical Methods to Prepare the 3D Petrophysical Model of Oil Reservoir

Hakimeh Amanipoor, Mohammad Ghafoori, Gholam Reza Lashkaripour

Department of Geology, Ferdowsi University of Mashhad, Mashhad, Iran.

DOI: 10.4236/ojg.2013.31002                

Abstract

In this study, the petrophysical parameters such as density, sonic, neutron, and porosity were investigated and presented in the 3D models. The 3D models were built using geostatistical method that is used to estimate studied parameters in the entire reservoir. For this purpose, the variogram of each parameter was determined to specify spatial correlation of data. Resulted variograms were non-monotonic. That shows anisotropy of structure. The lithology and porosity parameters are the main causes of this anisotropy. The 3D models also show that petrophysical data has higher variation in north part of reservoir than south part. In addition to, the west limb of reservoir shows higher porosity than east limb. The variation of sonic and neutron data are similar whereas the density data has opposed variation.

Keywords

3D Petrophysical Model; Geostatistical Method; Variogram; Anisotropic Structure

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	J. H. Doveton, “Geologic Log Analysis Using Computer Methods: Computer Application in Geology,” American Association of Petroleum Geologists, Tulsa, 1994.
[2]	J. Caers, “Petroleum Geostatistics,” Society of Petroleum Engineers: SPE, 2005.
[3]	A. G. Journel and C. Huijbregts, “Mining Geostatistics,” Academic Press, Waltham, 1978.
[4]	C.V. Deutch, “Geostatistical Reservoir Modeling,” Oxford University Press, Oxford, 2002.
[5]	A. A. Hassani Pak and M. Sharafaddin, “Exploration Data Analysis,” 2001. (in Persian)
[6]	M. J. Pyrcz and C. V. Deutsch, “The Whole Story on the Hole Effect,” Centre for Computational Geostatistics, University of Alberta, Edmonton, 2003.
[7]	A. A. Hassani Pak, “Geostatistics,” 2007. (in Persian)