Purpose

The purpose of this paper is to develop an equation for the synergistic corrosion of SRB and CO₂ based on the D-W model.

Design/methodology/approach

The bacterial types in the a and ß pipelines were studied by the most probable number method, and the corrosion morphology of L360 in pipeline water samples was studied by surface analysis. The corrosion rate of L360 was studied using the weight loss method. The gray correlation method was used to calculate the degree of correlation between the influencing factors of corrosion under the synergistic effect of CO₂ and SRB. The curve obtained from PIPESIM software and experiments data was then fitted using multiple non-linear regression method by MATLAB software.

Findings

The equation was used to predict the corrosion of the ß pipeline for verification, and it was found that seven out of ten excavation sites were within a 20% error range.

Originality/value

Using the gray correlation method, an equation that considers synergistic corrosion of SRB and CO₂ has been developed based on the D-W model. The equation could be used to predict the corrosion rate of shale gas gathering pipelines through SRB and CO₂ synergistic corrosion.

中文翻译：

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SRB与CO2协同腐蚀下页岩气管道腐蚀速率DW模型修正

目的

本文的目的是建立一个基于 DW 模型的 SRB 和 CO ₂协同腐蚀方程。

设计/方法/方法

采用最可能数法研究了a和ß管道中的细菌类型，采用表面分析法研究了管道水样中L360的腐蚀形态。L360的腐蚀速率采用失重法进行研究。采用灰色关联法计算CO ₂与SRB协同作用下腐蚀影响因素的关联程度。由PIPESIM软件和实验数据得到的曲线然后通过MATLAB软件使用多元非线性回归方法进行拟合。

发现

该方程用于预测ß管道的腐蚀以进行验证，发现十分之七的挖掘地点在 20% 的误差范围内。

原创性/价值

利用灰色关联法，基于DW模型建立了考虑SRB和CO ₂协同腐蚀的方程。该方程可用于预测页岩气集输管道通过SRB和CO ₂协同腐蚀的腐蚀速率。