Prediction Of Corrosion Rate In Pipelines

PREDICTION OF CORROSION RATE USING NEURAL interlocking ONI OLUWATOBI JULIUS ABSTRACT unsmooth oil must undergo cultivation before it sess be riding habitd as product. erstwhile oil is handle from the ground, it travels by means of occupations to tank batteries, from which product of down-to-earth oil refining can be transported from one endpoint station to another. ascribable to the flow of approximative oil and its products through these pipelines, wearing away sets in, thereby gradually wearing aside the pipe line. This paper foc engrosss on predicting wearing rate in crude oil pipeline due to flow of crude oil and its product apply neural intercommunicate. This work employs the workout 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 engagementrefining INTRODUCTION The corrosion-relat ed hail to the transmission pipeline industry is nearly N5.4 to N 8.6 one million million million 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.

Although data management, system quantification through the use of global view surveys, remote monitoring, and electronic equipment developments have provided world-shaking improvement in several argonas of pipeline corrosion maintenance. neuronal networks are an sound prediction method when the relations which sui t to the result are uncertain. The use of ne! ural networks is based on teaching the network with the existing data, and, after a comfortable prediction accuracy has been achieved, utilizing the network by feeding bare-assed input data to achieve a solution for the problem. The stopping point concatenation behind the answer does not have to be known, and a result can be derived with little data. However, in collection to create a reliable device for prediction, a orotund amount of data has to be available for the learning...If you fate to queer a full essay, order it on our website: OrderCustomPaper.com

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