Prediction of Carbon Steel Corrosion Rate Based on an Alternating Conditional Expectation (Ace) Algorithm
- 作者: Chen X.1, Yuan Z.1, Zheng Y.1, Liu W.2,3
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隶属关系:
- Oil and gas engineering Institute of Southwest Petroleum University
- School of Energy Resource of Chengdu University of Technology
- Post-Doctoral Research Center of Tarim Oilfield
- 期: 卷 51, 编号 6 (2016)
- 页面: 728-739
- 栏目: Ecology
- URL: https://journals.rcsi.science/0009-3092/article/view/234366
- DOI: https://doi.org/10.1007/s10553-016-0664-7
- ID: 234366
如何引用文章
详细
Based on dynamic corrosion experiments, we propose a new model for predicting corrosion rate that is based on an alternating conditional expectation (ACE) algorithm. This model lets us more accurately predict the corrosion rate for a broad range of temperatures, pH, and concentrations of Ca2+, HCO3−, Mg2+, Cl–, SO42 − ions. Based on tests performed on a testing sample group, we have confirmed the reliability of the model and have also demonstrated its high accuracy. Sensitivity analysis based on a rank correlation coefficient revealed that the major factor influencing the corrosion rate of N80 steel is the pH value. We have also carried out a comparison analysis of the results obtained when using the ACE algorithm and the results obtained when using a backpropagation neural network (BPNN) and the support vector regression (SVR) method. As a result, we found that the model based on the ACE algorithm is more accurate than other currently used models.
作者简介
Xing-yi Chen
Oil and gas engineering Institute of Southwest Petroleum University
编辑信件的主要联系方式.
Email: cxy55@163.com
中国, Chengdu, 610500
Zong-ming Yuan
Oil and gas engineering Institute of Southwest Petroleum University
Email: cxy55@163.com
中国, Chengdu, 610500
Yun-ping Zheng
Oil and gas engineering Institute of Southwest Petroleum University
Email: cxy55@163.com
中国, Chengdu, 610500
Wei Liu
School of Energy Resource of Chengdu University of Technology; Post-Doctoral Research Center of Tarim Oilfield
Email: cxy55@163.com
中国, Chengdu, 610059; Korla, 841000