Study of Adaptability for Variation Function in Random Inversion

Abstract:

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Abstract. Variation function is an important tool that can characterize the spatial correlation of geological variable quantitatively in geo-statistics. In the random inversion process, for different types of blocks and oil fields, choosing the appropriate function type and the corresponding model parameters, to improve the accuracy of inversion results is particularly important. By taking Gu83 block of GuLong oil field as an example, this article analyses common variation functions such as Gaussian, Spherical, Expo and Gen-Expo method and the influence of random inversion results under different variable distance parameters. From the experimental results, the inversion prediction precision will be higher in this block under the following situations: Expo variation function, horizontal variable distance is 3000 meters and vertical variable distance is 3 meters.

Info:

Periodical:

Advanced Materials Research (Volumes 347-353)

Edited by:

Weiguo Pan, Jianxing Ren and Yongguang Li

Pages:

699-702

DOI:

10.4028/www.scientific.net/AMR.347-353.699

Citation:

S. Z. Zhang and X. D. Liu, "Study of Adaptability for Variation Function in Random Inversion", Advanced Materials Research, Vols. 347-353, pp. 699-702, 2012

Online since:

October 2011

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Price:

$35.00

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