Experimental studies of crevice corrosion for buried pipeline with disbonded coatings under cathodic protection

Numerous fire and explosion accidents have occurred because of pipeline ruptures through the corrosion area. Coatings under cathodic protection (CP) have been recognized to prevent/mitigate potential pipeline corrosion. In this work, a wedge-shaped crevice assembly was developed to study the effect of cathodic protection on corrosion of 20# steel pipeline with disbanded coatings. Polarization potential, current density, solution pH value, and dissolved oxygen concentration were measured by using the simulation of crevice area with disbonded coatings. Results have demonstrated that CP cannot reach the crevice bottom which reduces the effectiveness of corrosion protection. This effectiveness depends on the crevice geometry and could be improved with the increase of crevice length and decrease of its mouth size. A potential difference always exists between the mouth area and inside crevice. The oxygen concentrations drop significantly inside crevice whether CP is applied or not. The solution pH values inside crevice increase with the time. The solution pH values are higher when the applied CP potentials are more negative. According to the experiments, the effectiveness of cathodic protection could also be improved through enhancement of the local solution alkalinity. The research provides necessary information to prevent potential pipeline ruptures due to crevice corrosion and therefore mitigate potential losses for oil and gas transportation in the process industries.     

基于光电子能谱的高含水输油管道内壁腐蚀减薄试验分析

鄂尔多斯盆地高含水输油管道内壁腐蚀减薄现象普遍,腐蚀穿孔频次逐年上升,管道安全防护管理成为难题。为了识别输油管道内壁腐蚀减薄原因,作者在分析含水率、地层水水型、溶解氧对管道内腐蚀影响的基础上选择特征试验管段,基于X射线光电子能谱技术开展管道内壁厚度变化、金相组织、腐蚀产物特性、边缘腐蚀状态研究。结果表明:高含水输油管道内壁腐蚀减薄类型为Cl+O2+H2O环境下的垢下腐蚀,以溶解氧（O2）腐蚀为主,氯离子（Cl－）腐蚀为辅;内壁腐蚀减薄原因为原油含水率过高、水中氯离子含量过高、水中含有溶解氧和介质流速偏低。     

基于有限元的含腐蚀缺陷原油集输管道剩余强度研究*

为研究含腐蚀缺陷原油集输管道的剩余强度,以延长油田集输系统常用的20#管线钢为例,采用ABAQUS建立1/2腐蚀管道有限元模型,研究单个均匀腐蚀缺陷对集输管道剩余强度的影响,分析缺陷位置、缺陷长度、缺陷宽度和缺陷深度的影响规律,并采用Matlab对缺陷长度和缺陷宽度角的模拟结果进行拟合,拟合确定系数R2均达99.0%以上。结果表明:集输管道的剩余强度受缺陷位置的影响较小;随着缺陷长度的增加先减小后保持不变,随着缺陷宽度的增加先略微增加后保持不变,建立缺陷深度分别为1.5,2.0,2.5 mm的有限元模型,得到缺陷临界长度分别为210,140,130 mm,缺陷宽度角分别为56°,57°,141°;剩余强度受缺陷深度的影响最大,会随着缺陷深度的增加而减小;缺陷深度越大,缺陷长度和缺陷宽度对剩余强度的影响越大。     

Internal corrosion hazard assessment of oil & gas pipelines using Bayesian belief network model

A substantial amount of oil & gas products are transported and distributed via pipelines, which can stretch for thousands of kilometers. In British Columbia (BC), Canada, alone there are over 40,000 km of pipelines currently being operated. Because of the adverse environmental impact, public outrage and significant financial losses, the integrity of the pipelines is essential. More than 37 pipe failures per year occur in BC causing liquid spills and gas releases, damaging both property and environment. BC oil & gas commission (BCOGS) has indicated metal loss due to internal corrosion as one of the primary causes of these failures. Therefore, it is of a paramount importance to timely identify pipelines subjected to severe internal corrosion in order to improve corrosion mitigation and pipeline maintenance strategies, thus minimizing the likelihood of failure. To accomplish this task, this paper presents a Bayesian belief network (BBN)-based probabilistic internal corrosion hazard assessment approach for oil & gas pipelines. A cause-effect BBN model has been developed by considering various information, such as analytical corrosion models, expert knowledge and published literature. Multiple corrosion models and failure pressure models have been incorporated into a single flexible network to estimate corrosion defects and associated probability of failure (PoF). This paper also explores the influence of fluid composition and operating conditions on the corrosion rate and PoF. To demonstrate the application of the BBN model, a case study of the Northeastern BC oil & gas pipeline infrastructure is presented. Based on the pipeline's mechanical characteristics and operating conditions, spatial and probabilistic distributions of corrosion defect and PoF have been obtained and visualized with the aid of the Geographic Information System (GIS). The developed BBN model can identify vulnerable pipeline sections and rank them accordingly to enhance the informed decision-making process.     

埋地管道腐蚀剩余寿命预测概率模型

为考察腐蚀参数的不确定性对埋地管道失效和剩余寿命的影响,建立以Shell—92确定性模型为基础的管道腐蚀剩余寿命预测概率模型。采用Monte-Carlo方法计算管道剩余寿命及其累积分布函数,并进行参数敏感性分析,详细研讨影响埋地管道腐蚀剩余寿命的主要参数及其随服役时间的变化规律。计算结果表明,提出的管道腐蚀剩余寿命预测模型能有效预测实际中受多因素影响的管道失效和剩余寿命问题。     

腐蚀管道评价标准ASME B31G-2009和SY/T6151-2009对比

腐蚀是油气管道最常见的失效形式之一,对腐蚀管道进行剩余强度评价是保障管道安全可靠运行的基础工作。ASME B31G-2009和SY/T6151-2009是国内外的两种主流评价标准的最新版本,为了在选取适当的评价标准时有判断依据,比较分析了新版标准评价结果的保守程度,研究了评价流程、计算模型和计算参数取值等方面,并结合爆破试验数据和有限元仿真结果进行了验证。结果表明,两种标准仍具有一定的保守性,且当管道强度等级、腐蚀情况及数据资料完整度等不同时,两种标准有各自的适用范围和优缺点。     

Corrosion failure probability analysis of buried gas pipelines based on subset simulation

Corrosion is the main reason for the failure of buried gas pipelines. For effective corrosion failure probability analysis, the structural reliability theory was adopted in this study to establish two calculation models for pipeline corrosion failure: the pressure failure model and von Mises stress failure model. Then, two calculation models for the corrosion failure probability were established based on a corrosion depth growth model obtained from actual survey data of soil corrosion characteristics. In an example, Monte Carlo simulation (MCS) and subset simulation (SS) were used to analyze the corrosion failure probability of pipelines, and the results were compared. SS can compensate for the shortcomings of MCS as it has higher computational efficiency and accuracy. Therefore, SS was adopted to simulate variations in the corrosion failure probability of buried pipelines with the service time for the two failure probability calculation models, which were applied to a natural gas pipeline located in a chemical industry park in Zhuhai, China. A sensitivity analysis was carried out on the relevant parameters that affect the failure probability. The results showed that multiple loads caused by the covering soil, residual stress, temperature differential, and bending stress have a non-negligible effect on the pipeline reliability. The corrosion coefficients gradually become the most important factors that affect the failure probability with increased service time. The proposed methodology considers the actual operating conditions of pipelines to provide a reliable theoretical basis for integrity management.     

基于TVR的腐蚀油气管道失效概率及安全寿命研究

为避免因腐蚀导致油气管道失效,针对因管道特性和腐蚀尺寸的不确定性使得管道剩余强度成为概率模型的特点,建立了腐蚀管道强度损失随机模型;借助可靠性理论,通过分析管道腐蚀进程的时变性特点,将管道系统由损伤积累和抗力衰减导致的剩余强度随机化;提出基于穿越率的腐蚀油气管道失效评定及安全寿命预测方法。研究结果表明:腐蚀速率和运行压力对管道失效概率及安全寿命影响显著,管道尺寸影响适中,而相关系数和拉伸强度影响较小;若腐蚀速率Va=0.2 mm/a,VL=10 mm/a或局部腐蚀缺陷半径达到管道壁厚的0.5倍时,建议作为重点风险段监测并检修。所建方法是对腐蚀油气管道运营监控和风险评估的有益补充。     

地面堆载对埋地管道的安全影响分析

为了分析地面堆载对埋地管道安全性的影响,以非线性接触模型为基础,应用ANSYS有限元软件,建立了地面堆载作用下的三维管土相互 作用模型。通过求解模型,探讨了地面堆载的大小、作用位置以及作用尺寸对埋地管道位移、应力和椭圆度的影响。结果表明:管道的应力和 椭圆度随着堆载大小的增大呈线性增大;垂直作用于管道正上方的堆载对管道的强度和稳定性影响较大;当作用应力不变时,与长度相比,堆 载宽度的变化对管道的影响更显著,而当总作用力不变时,增大堆载长度和宽度均可有效降低其对管道安全性的影响。预期研究结果可以为解 决油气管道建设中的安全防护问题提供一定的技术支持。     

Underground parallel pipelines domino effect: An analysis based on pipeline crater models and historical accidents

This paper focuses on the analysis of the possibility of domino effect in underground parallel pipelines relying on historical accident data and pipeline crater models. An underground pipeline can be considered as safe following an accident with an adjacent gas or liquefied pipeline when it remains outside the ground crater generated. In order to prevent the domino effect in these cases, the design of parallel pipelines has to consider adequate pipeline separations based on the crater width, which is one of the widely used methods in engineering applications. The objective of this work is the analysis of underground petroleum product pipelines ruptures with the formation of a ground crater as well as the evaluation of possible domino effects in these cases. A detailed literature survey has been carried out to review existing crater models along with a historical analysis of past accidents. A FORTRAN code has been implemented to assess the performance of the Gasunie, the Batelle and the Advantica crater models. In addition to this, a novel Accident-Based crater model has been presented, which allows the prediction of the crater width as a function of the relevant design pipeline parameters as well as the soil density. Modifications have also been made to the Batelle and Accident-Based models in order to overcome the underestimation of the crater width. The calculated crater widths have been compared with real accident data and the performance evaluation showed that the proposed Accident-Based model has a better performance compared to other models studied in this work. The analysis of forty-eight past accidents indicated a major potential of underground parallel pipelines domino effect which is proven by two real cases taken from the literature. Relying on the investigated accidents, the crater width was smaller than or equal to 20 m in most cases indicating that the definition of underground pipeline separations at around 10 m would be sufficient to ensure a small probability of the domino effect.     

A new approach on troubleshooting of cathodic protection: A case study

The aim of this paper is to suggest an effective procedure to eliminate a major deficiency in impressed current cathodic protection (CP). Current work describes performed activities through jetty cathodic protection troubleshooting as a case study. Although CP troubleshooting is straightforward, sometimes it is very complicated and confusing. To eliminate the appeared imperfection, different procedures were carried out; the root cause of the trouble in the system was shown to be in reversed current. Here the current which passed throughout installed junction were measured to survey reversed current. Current work offers a new approach in CP troubleshooting.     

基于DE-BPNN模型的含腐蚀缺陷管道失效压力预测

为提升含腐蚀缺陷管道失效压力预测精度,准确把控管道状态,建立基于DE-BPNN的含腐蚀缺陷管道失效压力预测模型,有效避免BPNN模型陷入局部最优问题,提升预测精度.基于61组管道爆破实验数据,分别用DE-BPNN与BPNN模型进行仿真计算.结果表明:DE-BPNN预测结果平均相对误差为3.26％,R2为0.98585,...     

A hybrid machine learning model for predicting crater width formed by explosions of natural gas pipelines

Despite the existence of industry models for estimating the crater width formed by the explosion of natural gas pipelines, their applicability is still limited since the complex formation mechanisms. In this work, a novel hybrid model was developed to predict crater width formed by explosions of natural gas pipelines, using artificial neural networks (ANN) as the fundamental predictor. Based on the historical accident records, the proposed hybrid model was trained by the pipeline parameter, the operating condition, the installation parameter, and the crater width. A novel nature-inspired optimization algorithm, i.e., the Lévy-Weighted Quantum particle swarm optimization (LWQPSO) algorithm, was proposed to optimize the ANN model's parameters. Three machine learning models were developed for comparative reasons to predict the crater width. The use of precision and error analysis indicators assesses prediction performance. The results show that the proposed hybrid model (LWQPSO-ANN) has high prediction accuracy and stability, which outperforms QPSO-ANN-based benchmark hybrid models and the model without an optimizer (Support Vector Machine, SVM). The parameter sensitivities of the proposed algorithm, including the maximum number of iterations, population size and contraction-expansion coefficient, were determined. The proposed hybrid model is expected to support the quantitative risk assessment (QRA), Right-of-Way (ROW) definition and the inherently safer design of the underground parallel pipelines.     

基于改进PSO-BPNN的输油管道内腐蚀速率研究

为解决输油管道易腐蚀,且腐蚀程度难以测量的问题,提出使用改进的粒子群算法（PSO）优化误差反向传播神经网络（BPNN）对输油管道内腐蚀速率进行预测。改进的PSO算法提升了自身搜索到全局最优的能力,可为BPNN提供最优初始权值和阈值,从而有效避免BPNN易陷入局部最优的问题发生。以某条输油管线为例,分别运用标准的BPNN模型、PSO-BPNN以及改进的PSO-BPNN对该管线内腐蚀速率进行预测。结果表明:基于改进的PSO-BPNN的预测结果平均相对误差为5.57%,预测精度较BPNN和PSO-BPNN有明显提升。使用改进的PSO-BPNN预测输油管道的腐蚀速率可为管道的检测维修提供可靠的理论和技术支撑。     

埋地油气管道沿线土壤腐蚀性可拓评价研究

油气管道长期埋设在土壤环境中会受到各种侵蚀介质的腐蚀并引发泄漏、火灾、爆炸等事故。针对土壤腐蚀因素复杂多变的特点,建立基于物元、可拓集合和关联函数的埋地油气管道沿线土壤腐蚀性评价模型;选取土壤电阻率、自然电位、氧化还原电位、pH值、含水率、Cl-含量、SO42-含量7个评价指标,将土壤对油气管道腐蚀的严重程度划分为低、较低、中、强和较强5个等级;采用客观赋权的变异系数法（CV法）来确定土壤腐蚀性评价指标的权重,避免了以往评价方法的主观性,进一步提高模型的精度和效率。以某埋地天然气管道5个管段土壤为例,可拓评价结果表明4#土壤的腐蚀性较强,其他土壤腐蚀性中等,这与外腐蚀检测结果吻合,证明所想出的模型简便、高效、精确,具有很好的科学性和工程应用性。     

CO2 corrosion control in steel pipelines. Influence of turbulent flow on the performance of corrosion inhibitors

Corrosion associated with aqueous environments containing carbon dioxide (CO₂) and/or hydrogen sulphide (H₂S), is a well-known phenomenon in oil and gas industries. This type of corrosion is of particular importance in transportation through steel pipelines. This transportation process could involve the movement of a complex mixture of gas and liquids. This moving mixture is in close contact with the inner surface of the steel pipelines and corrosion can occur. It has been demonstrated that this corrosion is influenced by flow.In oil and gas industries, film-forming corrosion inhibitors are the main tool used to control inner corrosion in pipelines. The movement of the environment generates mechanical shear stresses on the surface of the steel that can interfere with the formation of the film. This phenomenon is frequently not taken into account in corrosion control strategies and could cause problems. Despite the importance of this, there are few scientific studies available, which can provide control criteria.This work presents some ideas developed in order to understand the influence of flow on the corrosion process, making emphasis in the corrosion process associated with carbon dioxide (CO₂).     

Safety and reliability assessment of external corrosion defects assessment of buried pipelines—soil interface: A mechanisms and FE study

Due to local liquid accumulation (AL) in the low-lying section of the buried natural gas pipeline, external corrosion will occur at the interface between the pipeline and the soil. External corrosion will produce pit defects, which will reduce the bearing capacity of the pipeline and affect the normal operation of the pipeline. In addition, corrosion group defects can interact with each other. Thus, the service life of the pipeline is seriously affected. In this work, a case of local corrosion failure of the pipeline caused by liquid accumulation on-site is presented. The importance of this work is verified by experiment and field excavation. Besides, based on the Mises-Stress yield criterion, nonlinear analysis was carried out with the finite element method (FEM). The effects of internal pressure, corrosion pit defect size, internal and external wall corrosion, corrosion pit group, and different types of volumetric corrosion pit defects on the failure of L360QS steel pipe were analyzed with consideration of the effects of axial and circumferential zones of corrosion pits. These correlations have not been seen in previous studies. The FE results make up for the disadvantage that the corrosion is simplified to equal depth corrosion in the code, which will underestimate the residual strength of the actual corroded pipeline and lead to unnecessary repair or replacement. The results provide a reference for failure analysis and strength evaluation of buried L360QS steel pipe with corrosion defect.     

地铁隧道施工对邻近垂直于地铁线路管线的 变形影响规律研究 ）

地铁隧道施工对周围管线的影响已成为地铁工程中的重点和难点。研究地铁隧道盾构施工对周围邻近管线的变形影响规律,并据此对管线进行合理保护是地铁等隧道建设中面临的普遍任务。以西安地铁3号线为研究背景,通过FLAC数值模拟,得到了多种工况下地铁隧道盾构施工对邻近垂直于地铁线路的管线变形影响规律。研究表明,地铁盾构施工时,对周围环境的影响大小是不一样的,管线的沉降最大值处均位于隧道轴线正上方,且随着管隧距离的缩短,管线沉降最大值不断增大,因隧道盾构施工而对管线的变形影响范围逐渐减小,沉降曲线的沉降槽宽度逐渐减小;管线在距隧道轴线±1.6倍洞径范围内随管隧距离的减小沉降值逐渐增大,反之,其变形减小;随着土仓压力的增大,地下管线的变形越来越小,甚至可能产生向上隆起。工程实践表明,预测结果和监测结果基本一致。     

基于遗传-神经网络算法的含均匀腐蚀缺陷油气管线爆破压力预测研究*

为提高含均匀腐蚀缺陷油气管线爆破压力的预测精度，保障长输油气管线的安全运行，将遗传算法和BP神经网络相结合，建立含均匀腐蚀缺陷油气管线爆破压力预测的遗传-BP神经网络（GA-BPNNs）模型。采用已有文献实验数据，分析对比该模型与AGA NG-18，ASME B31G，修正B31G，PCORRC，DNV RP-F101和SHELL 92等方法用于X46，X52，X60，X65，X80等材质油气管线含均匀腐蚀缺陷时爆破压力的计算误差。结果表明:GA-BPNNs模型用于含均匀腐蚀缺陷油气管线爆破压力预测时，误差在-7.78%～6.06%之间，预测精度明显高于目前国内外通用规范的计算结果；该模型操作简单，适用范围广，工程实用性好，为含缺陷压力管道爆破压力的预测提供更好的思路和方案。     

基于有限元分析的X80高钢级管道剩余强度计算公式构建

为了更加精确地计算X80高钢级管道剩余强度,以有限元分析理论基础为依据,采用ANSYS WORKBENCH软件对含腐蚀缺陷的X80高钢级管道进行仿真模拟。基于X80高钢级管道有限元模型计算结果,选用1stOpt软件,用拟合的方法构建出以腐蚀缺陷长度、腐蚀缺陷深度、管径、壁厚等因素为变量的X80高钢级管道剩余强度计算公式,将拟合公式与PCORRC,DNV RP-F101和LPC-1等3种评价方法的准确性进行对比、验证和分析。结果表明:拟合公式的误差较小,具有较好的适用性。研究结果对改进现有评价方法具有参考作用。