西南石油大学学报(自然科学版) ›› 2005, Vol. 27 ›› Issue (5): 23-25.DOI: 10.3863/j.issn.1000-2634.2005.05.06
• 石油与天然气工程 • Previous Articles Next Articles
FENG Guo-qing1 ZHOU Yong-yi2 LI Yun1 et al
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Abstract: Theoreticalmodel of variogram is essential in geostatistics,which is the key parameter in reservoir heterogeneity character ization and stochastic simulation. Aiming at the disadvantages of conventionalusedmethods thatmatch theoretical variogram such as man-made matching method, non- linearmethod of least square, weighted polynomialmatching, an new matching method was presented, which used genetic algorithm to acquire the best fit of theoreticalvariogram. Genetic algorithm is an novelo ptimization method with the characteristic of global optimization.Combined with simulated annealing method, it converged faster than conventional genetic algorithm. Application of the method tomatch theoretical porosity variogram in gas reservoir of Chuan-zhong gas field has shown thismethod was simple and quick for estimating theoretical variogram parameters.
Key words: theoretical variogram, genetic algorithm, estimating parameters, simulated annealing
CLC Number:
TE112. 24
FENG Guo-qing ZHOU Yong-yi LI Yun et al. APPLICATION OF GENENTIC ALGORITHM TO MATCH THEORETICAL VARIOGRAM[J]. 西南石油大学学报(自然科学版), 2005, 27(5): 23-25.
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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.3863/j.issn.1000-2634.2005.05.06
http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2005/V27/I5/23