Noroznia H, Gandomkar M, Nikoukar J
Department of Electrical Engineering, Islamic Azad University, Saveh Branch, Saveh, Iran.
Heliyon. 2024 Feb 22;10(5):e26837. doi: 10.1016/j.heliyon.2024.e26837. eCollection 2024 Mar 15.
The chemical corrosion of metals in large industries such as oil and gas is a fundamental and costly problem. Gas transmission and distribution pipes and the other structures submerged in the soil and in an electrolyte, according to the existing conditions and according to the metallurgical structure, are corroded, and after a period of work, they disrupt an active system and process and lead to loss. The worst corrosion that occurs for metals embedded in the soil is where there are stray electric currents. Based on this, the cathodic protection of metal pipes is known as the most effective protection method to prevent the corrosion of structures buried in the ground, which is widely used to protect the corrosion distribution and transmission pipes of gas, oil, and water. In gas networks, current and voltage measurements for cathodic protection are carried out and recorded in specific periods according to the standards approved by the National Gas Company. The effect of stray currents on the obtained results is significant. The reason for this is that the available data is recorded as a time series, and as a result, the critical value of this time series will significantly impact the remaining life of the gas pipelines. Therefore, the purpose of this article is to investigate the stray currents effect on failure rate using normal probability distribution. In the following, the estimation of the remaining useful life of gas pipelines under cathodic protection is obtained using neural networks and compared with the results of the failure probability to check the accuracy of the results. According to the data history of the equipment, the amount of failure and the remaining useful life of the gas pipelines will be obtained.
在石油和天然气等大型工业中，金属的化学腐蚀是一个基本且代价高昂的问题。根据现有条件和冶金结构，输气和配气管道以及其他埋于土壤和电解质中的结构会受到腐蚀，经过一段时间的运行后，它们会扰乱一个活跃的系统和流程并导致损失。埋于土壤中的金属发生的最严重腐蚀发生在存在杂散电流的地方。基于此，金属管道的阴极保护被认为是防止埋地结构腐蚀的最有效保护方法，广泛用于保护天然气、石油和水的输送与分配管道。在天然气网络中，根据国家天然气公司批准的标准，在特定时间段内进行并记录阴极保护的电流和电压测量。杂散电流对所获结果的影响很大。原因在于可用数据被记录为时间序列，因此该时间序列的临界值将对天然气管道的剩余寿命产生重大影响。所以，本文的目的是使用正态概率分布研究杂散电流对故障率的影响。接下来，利用神经网络获得阴极保护下天然气管道的剩余使用寿命估计值，并与失效概率结果进行比较，以检验结果的准确性。根据设备的数据历史记录，将得出天然气管道的故障数量和剩余使用寿命。
