Porosity Estimation of a Reservoir Using Geophysical Well Logs and an Interval Type-2 Fuzzy Logic System

被引：2

作者：

Jafarinezhad, S. ^{[1
]}

Shahbazian, M. ^{[1
]}

Baghaee, M. R. ^{[1
]}

机构：

[1] Petr Univ Technol, Dept Automat & Instrumentat, Ahvaz, Iran

来源：

PETROLEUM SCIENCE AND TECHNOLOGY | 2015年 / 33卷 / 11期

关键词：

porosity; uncertainty; type-2 fuzzy set; type-2 fuzzy logic system; clustering; PERMEABILITY; PREDICTION;

D O I：

10.1080/10916466.2011.565293

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The authors propose a novel interval type-2 fuzzy logic structure that uses the advantages of type-2 fuzzy sets to estimate the formation porosity of the reservoir using geophysical well logs. The proposed system is constructed on the base of a set of fuzzy rules that includes type-2 fuzzy sets in the antecedent part and type-1 interval representing the centroid of a type-2 fuzzy interval in the consequent part of the rules. For structure identification, a fuzzy clustering algorithm is implemented to generate the rules automatically and for parameter adjustment the back propagation algorithm is used. To demonstrate the superiority of the proposed model, the results of the proposed type-2 fuzzy logic structure are compared with its type-1 counterpart.

引用

页码：1222 / 1228

页数：7

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