Paper Info
Title
Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
Abstract
In this work, the use of type-2 fuzzy logic systems as a novel approach for predicting permeability from well logs has been investigated and implemented. Type-2 fuzzy logic system is good in handling uncertainties, including uncertainties in measurements and data used to calibrate the parameters. In the formulation used, the value of a membership function corresponding to a particular permeability value is no longer a crisp value; rather, it is associated with a range of values that can be characterized by a function that reflects the level of uncertainty. In this way, the model will be able to adequately account for all forms of uncertainties associated with predicting permeability from well log data, where uncertainties are very high and the need for stable results are highly desirable. Comparative studies have been carried out to compare the performance of the proposed type-2 fuzzy logic system framework with those earlier used methods, using five different industrial reservoir data. Empirical results from simulation show that type-2 fuzzy logic approach outperformed others in general and particularly in the area of stability and ability to handle data in uncertain situations, which are common characteristics of well logs data. Another unique advantage of the newly proposed model is its ability to generate, in addition to the normal target forecast, prediction intervals as its by-products without extra computational cost.
Year
DOI
Venue
2011
10.1016/j.compind.2010.10.008
Computers in Industry
Keywords
DocType
Volume
Support vector machines,Type-2 fuzzy logic systems,carbonate reservoir,different industrial reservoir data,novel approach,comparative study,crisp value,common characteristic,membership function,Permeability estimation,logs data,Feedforward neural networks,particular permeability value,type-2 fuzzy logic approach,Reservoir characterization,type-2 fuzzy logic system
Journal
62
Issue
ISSN
Citations 
2
Computers in Industry
10
PageRank 
References 
Authors
0.62
9
3
Name
Order
Citations
PageRank
S. O. Olatunji18114.57
Ali Selamat271777.40
Abdul-Azeez Abdulraheem3518.75