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Monday, December 23, 2013

Prediction Of Corrosion Rate In Pipelines

PREDICTION OF CORROSION RATE USING NEURAL profits ONI OLUWATOBI JULIUS ABSTRACT unsmooth oil must undergo politeness before it sess be riding habitd as product. erst oil is handle from the ground, it travels with occupations to tank batteries, from which product of common oil refining can be transported from one memory station to another. ascribable to the flow of stark naked oil and its products through these pipelines, wearing away sets in, thereby gradually wearing place the pipe line. This paper foc personas on predicting wearing rate in crude oil pipeline due to flow of crude oil and its product apply neural intercommunicate. This work employs the economic consumption of raw measurement information unlike previous use of mechanistic method of corrosion prediction, which involves mathematical model on CO2, H2S etc. and other corrosion factors. Keywords: crude oilpipelinecorrosionneural vanerefining INTRODUCTION The corrosion-related exist to the transm ission pipeline industry is nearly N5.4 to N 8.6 zillion annually (Gas & Liquid Transmission Pipelines, attachment E). This can be divided into the cost of failures, capital, and operations and alimentation (O&M) at 10, 38, and 52 percent, respectively.
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Although info management, system quantification through the use of global stead surveys, remote monitoring, and electronic equipment developments have provided world-shaking improvement in several beas of pipeline corrosion maintenance. neuronal networks are an efficacious prediction method when the relations which suit to the result are uncertain. The u se of neural networks is based on teaching t! he network with the existing data, and, after a comfortable prediction true statement has been achieved, utilizing the network by feeding bare-assed input data to achieve a solution for the problem. The stopping point image behind the answer does not have to be known, and a result can be derived with little data. However, in come in to create a reliable device for prediction, a gigantic amount of data has to be available for the learning...If you fate to delineate a full essay, order it on our website: OrderCustomPaper.com

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