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Method for predicting corrosion rate of submarine crude oil pipeline based on PCA-ABC-SVM model

A PCA-ABC-SVM, corrosion rate technology, applied in computational models, biological models, instruments, etc., can solve the problems of large amount of basic data requirements and insufficient prediction reliability, so as to improve prediction accuracy and reduce data. Volume requirements, the effect of reducing the amount of data

Pending Publication Date: 2021-08-17
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a PCA-ABC-SVM model based on the PCA-ABC-SVM model that can solve the problems in the prior art that the submarine crude oil pipeline corrosion rate prediction model requires a large amount of basic data and the prediction reliability is insufficient. Corrosion Rate Prediction Method for Submarine Crude Oil Pipeline

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  • Method for predicting corrosion rate of submarine crude oil pipeline based on PCA-ABC-SVM model
  • Method for predicting corrosion rate of submarine crude oil pipeline based on PCA-ABC-SVM model
  • Method for predicting corrosion rate of submarine crude oil pipeline based on PCA-ABC-SVM model

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[0025] The present invention will be further described below in conjunction with accompanying drawing:

[0026] Such as figure 1 As shown, it is a structural schematic diagram of the method for predicting the corrosion rate of submarine crude oil pipelines based on the PCA-ABC-SVM model provided by this scheme.

[0027] The method for predicting corrosion rate of submarine crude oil pipeline based on PCA-ABC-SVM model of the present invention comprises the steps:

[0028] S1. Obtain the detection data including the actual corrosion rate value of the submarine crude oil pipeline to be evaluated.

[0029] Further, the detection data include at least water content, carbon dioxide content, hydrogen sulfide content, chloride ion content, calcium and magnesium ion content, dissolved oxygen content, pH value, temperature, pressure, flow rate and actual corrosion rate value in the pipeline.

[0030] In some embodiments of this solution, there are at least 100 sets of detection data....

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Abstract

The invention discloses a method for predicting the corrosion rate of a submarine crude oil pipeline based on a PCA-ABC-SVM model. The method comprises the following steps: obtaining detection data, including an actual corrosion rate value, of the submarine crude oil pipeline to be evaluated; according to the obtained detection data, establishing a seabed crude oil pipeline corrosion index system through a PCA algorithm; according to the seabed crude oil pipeline corrosion index system, obtaining a trained corrosion rate prediction model through an SVM algorithm and an ABC algorithm; and substituting detection data into the trained corrosion rate prediction model to obtain a corrosion rate prediction result. The method can solve the problems that a seabed crude oil pipeline corrosion rate prediction model in the prior art has large basic data requirements and is insufficient in prediction reliability, is high in analysis speed, high in accuracy and high in reliability, and can provide scientific basis and technical support for seabed crude oil pipeline corrosion failure risk early warning.

Description

technical field [0001] The invention relates to the technical field of submarine oil and gas pipeline transportation, in particular to a method for predicting the corrosion rate of a submarine crude oil pipeline based on a PCA-ABC-SVM model. Background technique [0002] With the continuous development of my country's offshore oil and gas technology, the number of submarine crude oil pipelines continues to increase. Submarine crude oil pipelines undertake the important task of marine crude oil transportation. However, due to the harsh marine environment, coupled with the characteristics of the transport medium and service life, the length of pipeline corrosion damage continues to increase, and pipeline perforation, leakage and explosion accidents caused by corrosion occur from time to time. Cause a large number of casualties, economic losses and serious environmental pollution. Statistics show that among the types of submarine pipeline accidents, accidents caused by corrosi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06N3/00G06F113/14
CPCG06F30/20G06N3/006G06F2113/14
Inventor 李新宏张璐瑶张认认韩子月
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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