Future prediction & estimation of faults occurrences in oil pipelines by using data clustering with time series forecasting

The world of oil pipelines is subjected to serious issues due to occurrences of toxic spills, explosions and deformations like particle deposition, corrosions and cracks due to the contact of oil particles with the pipeline surface. Hence, the structural integrity of these pipelines is of great interest due to the probable environmental, infrastructural and financial losses in case of structural failure. Based on the existing technology, it is difficult to analyze the risks at the initial stage, since traditional methods are only appropriate for static accident analyses. Nevertheless, most of these models have used corrosion features alone to assess the condition of pipelines. To sort out the above problem in the oil pipelines, fault identification and prediction methods based on K-means clustering and Time-series forecasting incorporated with linear regression algorithm using multiple pressure data are proposed in this paper. The real-time validation of the proposed technique is validated using a scaled-down experimental hardware lab setup resembling characteristics exhibited by onshore unburied pipeline in India. In the proposed work, crack and blockages are identified by taking pressure rise and pressure drop inferred from two cluster assignment. The obtained numerical results from K-means clustering unveils that maximum datasets accumulated range of multiple pressures are within 16.147–10.638 kg/cm², 14.922–12.1674 kg/cm², 2.7645–1.2063 kg/cm² correspondingly. Hence by this final cluster center data, inspection engineers able to estimate the normal and abnormal performance of oil transportation in a simple-robust manner. The developed forecast model successfully predicts future fault occurrences rate followed by dissimilarity rate from clustering results holds the validity of 91.9% when applied to the historical pressure datasets. The models are expected to help pipeline operators without complex computation processing to assess and predict the condition of existing oil pipelines and hence prioritize the planning of their inspection and rehabilitation.     

Assessment of air dispersion characteristic in underground mine ventilation: Field measurement and numerical evaluation

The environmental safety of an underground mine depends strongly on its ventilation system. An efficient ventilation system provides fresh air, removes hazardous gases and dust, and maintains the temperature and humidity at appropriate levels. One of the most important factors in removing hazardous gases and dust is the dispersion behaviour in the mine network. This factor determines the longitudinal spreading and the average air residence time of gases or particulate matter throughout the mine. This paper describes tracer gas measurement in an underground mine and the utilisation and analysis of the dispersion characteristics using numerical simulations. The concentration–time curve obtained from the measurement is simulated to evaluate the effective diffusion coefficient that reflects the general dispersion characteristic of an entire mine. The evaluated values of effective diffusion coefficient are then compared to other data from several studies. The diffusivities obtained in this study were higher than other analytical and empirical results. More research is still required to identify the main factors causing such higher diffusivities. However, the results from the present work can be an important standpoint for future work. Numerical simulation conducted in this research was confirmed to be effective in detecting several leakage paths occurring in the mine ventilation network.     

Probabilistic seismic multi-hazard loss estimation of Iran gas trunklines

The location of Iran in addition to holding the world's second-largest gas reserves, makes this country an important transporter of natural gas in the world. Moreover, Iran is a country that suffers from hazards associated with frequent destructive earthquakes, which can severely damage buried gas transmission networks, different losses correspond to individuals, social, environmental, and the property is expected. Therefore, it is essential to identify potential seismic hazards and assess their risk will be induced to the country. This paper is performing a comprehensive probabilistic loss assessment of the entire network of the Iran Gas Trunklines (IGAT) due to seismic multi-hazard failure using GIS-based analyses and the HAZUS methodology proposed by FEMA. In the current study, all kinds of seismic hazards are considered for analyzing the IGAT as a spatially-distributed infrastructure for being exhaustive. As a result, seismic hazard maps, repair rate maps, the IGAT expected damage state map, and the IGAT economic loss map are presented. As an example of the outputs of this study, the economic loss of the IGAT is predicted by up to 380 US dollars per segment, which is related to the most vulnerable segments of the pipelines. The outputs of the current research not only can help to plan for mitigating the probable seismic losses but also can help anyone, who are involved in designing and developing new gas transmission lines, to design new trunklines with a more degree of safety.     

管道环焊接头残余应力及氢扩散模拟研究

为减小氢气对管道的安全服役产生威胁,研究考虑焊接残余应力对氢在焊接接头中扩散的影响,建立管道3层环向对接焊的三维模型.通过顺序间接耦合方法,对管道焊接的温度场、应力场以及氢扩散进行耦合计算,研究结果表明:第2层焊缝与第3层焊缝交界处为整个接头的应力集中部位,也是焊接接头中的富氢区域,适当地提高填充焊线能量或者降低盖面焊...     

最优加权组合模型在管道腐蚀预测中的应用

为构造海底混输管道腐蚀最优加权组合预测模型，针对传统非等间距GM(1,1)管道腐蚀预测模型中初始条件的选取问题，提出了新信息优先原理下的NEGM(1,1,τ)海底管道腐蚀速率预测模型，以充分发挥建模序列中各分量对预测系统的修正作用；引入ARIMA预测模型，在3个不同定权准则下与NEGM(1,1,τ)模型形成管道腐蚀加权组合预测模型，并通过评价指标函数实现组合模型的性能评价。研究结果表明:组合模型2的海底混输管道腐蚀速率预测值与实际值的平均相对误差为0.495 4%，评价指标函数RMSE,AARD和MAPE的值分别为0.1936%,0.1275%和0.595 3%，均优于其他2个准则下的组合模型。建立NEGM(1,1,τ)-ARIMA海底管道腐蚀速率最优加权组合预测模型，从多角度挖掘了管道腐蚀速率序列中的可靠信息，预测结果的可信度更高。     

Societal risk acceptance criteria for gas distribution pipelines based on incident data from the United States

A significant number of pipeline operators use pipeline integrity management (PIM) to improve pipeline safety and reliability. Risk assessment is a critical step in PIM, because it determines the necessity of conducting the following steps in PIM for certain pipelines. Risk acceptance criteria are required in the process of risk assessment. Individual risk and societal risk are most frequently adopted as the two indicators of the risk acceptance criteria. To the best of the authors’ knowledge, quantitative societal risk acceptance criteria, especially for gas distribution pipelines, do not exit. The aim of this paper is to establish the societal risk acceptance criteria for gas distribution pipelines. Hence, FN curves were established using historical incident data from 2002 to 2017 provided by the U.S. Department of Transportation (DOT). Linear regression and the ALARP principle are used in evaluating the limits of the negligible line and intolerable line to obtain a graphical societal risk acceptance criterion for gas distribution pipelines. A line having a slope of −1.224, and an anchor point of (1, 8.413 × 10⁻⁷) is proposed as the negligible line. Further, the intolerable line has a slope of −1.224, and an anchor point of (1, 2.524 × 10⁻⁶). Both the negligible risk and the intolerable risk for the gas distribution pipeline are lower than the current societal risk acceptance criteria for hazardous installations. The reasons for these relatively lower risk acceptance criteria are discussed.     

基于JSA-BN的水上提管维修作业风险分析

为保障海底油气管道维修作业安全,提出1种基于JSA-BN的作业风险分析方法。采用JSA方法辨识分析水上提管维修作业过程中潜在的风险因素,得出不同作业步骤的风险等级;建立水上提管维修作业贝叶斯网络模型,计算出各作业环节的成功概率;依托贝叶斯网络的逆向推理及敏感性分析能力,实现水上提管维修作业风险薄弱点的定量预测和评估。研究结果表明:提出的基于JSA-BN的作业风险分析方法可应用于近岸海底管道应急维修作业风险分析;在整个水上提管维修作业活动中,提管作业和切割破损管道作业为关键作业环节,提升过程中碰撞、掉落事件为薄弱风险因素。     

双线地铁隧道下穿管道安全性对比研究

地铁与燃气管道等高危管道均为线性工程,地铁隧道下穿管道的情况不可避免,一旦因地铁施工导致管道泄漏,后果难以承受,管道沉降值是考量其安全性的关键指标。为对双线盾构地铁隧道下穿管线安全性进行预测,采用修正的Peck公式理论方法进行计算,并与数值模拟结果相对比,研究结果表明:双线盾构地铁隧道下穿管道安全风险可控,修正Peck公式及数值模拟法均能较真实地描绘地表以下任意土层的沉降槽曲线,进而可以比较准确地计算土体竖向沉降,可作为一种用于计算隧道开挖所引起管道竖向位移的方法。     

基于IEEMD样本熵分析的管道泄漏定位

为降低城市管道泄漏定位误差,提出1种改进的集合经验模态分解（IEEMD）样本熵分析的管道多点泄漏定位方法。首先通过在EEMD中添加自相关函数计算和EMD算法,得到IEEMD;然后应用IEEMD可将原始泄漏信号直接去噪并分解为真实信号分量和冗余分量,经样本熵分析计算剔除冗余分量,获得有效泄漏信号;最后根据互相关时延计算和声发射时差定位法精确计算泄漏点位置。结果表明:该方法泄漏信号提取效果好、计算效率更高,有效提高了信号的信噪比,降低了信号的均方误差;该方法将管道泄漏定位误差降低至4.06%,较大程度提高了管道泄漏定位精确度。     

障碍物对瓦斯煤尘爆炸火焰传播规律的影响

为了进一步探究瓦斯煤尘耦合爆炸火焰的传播规律,用自行搭建的半封闭垂直管道爆炸试验系统,研究障碍物对瓦斯煤尘耦合爆炸火焰传播规律的影响。研究结果表明:障碍物能显著提高瓦斯煤尘爆炸火焰的传播速度,其加速机理主要是障碍物诱导的湍流区会促进火焰的传播;火焰在传播过程中的加速度不是一直增加,随着火焰速度的增加会出现上下波动;煤尘的加入会使瓦斯爆炸产生的火焰传播速度显著增大及速度的最大值距离点火端较远;通过障碍物时爆炸产生的火焰形状发生较大的改变,出现拉伸和褶皱现象。