Prediction Of Corrosion Rate In Pipelines

PREDICTION OF CORROSION RATE USING NEURAL NETWORK
ONI OLUWATOBI JULIUS
ABSTRACT
unsmooth oil must undergo civilization before it sess be riding habitd as product. Once oil is handle from the ground, it travels through occupations to tank batteries, from which product of crude oil refining can be transported from one depot station to another. ascribable to the flow of crude oil and its products through these pipelines, wearing away sets in, thereby gradually wearing out the pipe line. This paper focuses on predicting wearing rate in crude oil pipeline due to flow of crude oil and its product apply neural intercommunicate. This work employs the use 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 networkrefining
INTRODUCTION
The corrosion-related cost to the transmission pipeline industry is nearly N5.4 to N 8.6 billion 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 positioning surveys, remote monitoring, and electronic equipment developments have provided world-shaking improvement in several areas of pipeline corrosion maintenance.

neuronal networks are an effective prediction method when the relations which suit to the result are uncertain. The use of neural 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 chain behind the answer does not have to be known, and a result can be derived with little data. However, in order to create a reliable device for prediction, a large amount of data has to be available for the learning...If you fate to get a full essay, order it on our website: Orderessay



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