Natural gas pipeline internal corrosion rate prediction method

A technology for natural gas pipeline and internal corrosion, which is applied in prediction, instrument, calculation model, etc., can solve the problems of poor prediction accuracy of the prediction model of internal corrosion rate of natural gas pipeline, etc.

Pending Publication Date: 2020-02-18
PETROCHINA CO LTD
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The prediction accuracy of the natural gas pipeline internal corrosion rate prediction model obtained by related technologies is poor

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Natural gas pipeline internal corrosion rate prediction method
  • Natural gas pipeline internal corrosion rate prediction method
  • Natural gas pipeline internal corrosion rate prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0187] This embodiment provides a method for predicting the internal corrosion rate of a natural gas pipeline. The method uses a natural gas pipeline in a domestic gas field as a target pipeline to predict its internal corrosion rate. The target natural gas pipeline was put into operation in July 2003, the pipe material is 20G steel, the temperature is 20°C-45°C, and the corrosive medium contained is mainly CO 2 , the content is 0.55mol% ~ 0.77mol%, does not contain O 2 and H 2 S corrosive gas; CO 2 The partial pressure is between 0.0231MPa and 0.1155MPa; the pH value of the produced water is generally close to neutral; the salinity is relatively high. Specifically, the forecasting method includes:

[0188] Step 201. Obtain indoor simulated corrosion experiment data (including internal corrosion factor data and internal corrosion rate data) of the target pipeline. The data sample is shown in Table 1 below:

[0189] Table 1

[0190]

[0191]

[0192]

[0193] Ste...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a natural gas pipeline internal corrosion rate prediction method, and belongs to the field of natural gas pipelines. The method comprises the following steps: acquiring internal corrosion factor data and internal corrosion rate data of a target natural gas pipeline as sample data; analyzing the sample data through an ash correlation analysis method, and determining sensitive factors influencing corrosion in the target natural gas pipeline; normalizing the sensitive factor data; optimizing the connection weight, the expansion factor and the translation factor of the wavelet neural network by adopting a genetic algorithm according to the sensitive factors after data normalization; taking the optimized connection weight, the expansion factor and the translation factoras initial values of a wavelet neural network, performing wavelet neural network training according to the sensitive factor after data normalization, determining final values of the connection weight,the expansion factor and the translation factor, and obtaining a natural gas pipeline internal corrosion rate prediction model. According to the natural gas pipeline internal corrosion rate prediction model, the internal corrosion rate is predicted, and the precision of predicting the internal corrosion rate is high.

Description

technical field [0001] The invention relates to the field of natural gas pipelines, in particular to a method for predicting internal corrosion rates of natural gas pipelines. Background technique [0002] Natural gas pipelines are used to transport oil and natural gas, but oil and natural gas contain sulfur-containing substances (such as sulfur dioxide, hydrogen sulfide, etc.) and free water. With the operation of natural gas pipelines, sulfur-containing substances and free water and other substances will The inner wall of the natural gas pipeline is corroded, resulting in leakage and suspension of natural gas pipelines, affecting the normal gathering, transportation and production of oil and natural gas. Therefore, it is necessary to predict the corrosion rate in natural gas pipelines, so as to repair or replace natural gas pipelines before they fail. [0003] In related technologies, the following method is used to predict the internal corrosion rate of natural gas pipel...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06Q50/06G06N3/00
CPCG06Q10/04G06Q50/06G06N3/006
Inventor 舒洁秦林高健吴冠霖刘畅孙啸林冬王毅辉王飞万泽君李施奇唐静齐昌超范小霞张轶茗
Owner PETROCHINA CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap