Intelligent Prediction on the Quality of Cementing

Abstract:

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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.

Info:

Periodical:

Edited by:

Aimin Yang, Jingguo Qu and Xilong Qu

Pages:

373-377

DOI:

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

Citation:

W. Z. Wang "Intelligent Prediction on the Quality of Cementing", Applied Mechanics and Materials, Vols. 84-85, pp. 373-377, 2011

Online since:

August 2011

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Price:

$35.00

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