Intelligent Prediction on the Quality of Cementing

Wei Zhang Wang

doi:10.4028/www.scientific.net/AMM.84-85.373

Paper Titles

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Optimization and Realization of Bridge Girder of 320/50t-22m Quenching Crane
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Research on Structural Parameters of Conical Nozzle
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Study on Roller Eccentricity Compensation in a Cold Mill
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Study on Soft Zone of Type 420 Stainless Steel Weldment during the Induction Brazing Process
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Research on Machining Methods of Turning Trapezoidal Thread for Slender Axle on Lathe
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 84-85Intelligent Prediction on the Quality of Cementing

Intelligent Prediction on the Quality of Cementing

Abstract:

The present solutions of well cementing are mostly designed by designers’ experience and calculation which can not predict the engineering quality after application of the designs. Meanwhile some questions in the designs can not be solved before construction. On the basis of detailed evaluation of every influential factor according to construction and environmental conditions, this article provides cementing fuzzy neural network model by means of 2nsoftEditor neural network modeling tools, and the stable software systems with the combination of artificial neural network and fuzzy logic rules are expected to improve the credibility of cementing quality prediction. Construction practice shows that cementing quality prediction with application of fuzzy neural network system before cementing can greatly reduce the cementing costs and improve the cementing success ratio.

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Periodical:

Applied Mechanics and Materials (Volumes 84-85)

Pages:

373-377

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.84-85.373

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Online since:

August 2011

Authors:

Wei Zhang Wang

Keywords:

Artificial Neural Network (ANN), Cementing Scheme, Fuzzy Logic Rules, Prediction

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