Outflow from fractured pipelines transporting supercritical ethylene

This paper describes a methodology for predicting outflow from a rupture in a pipeline transporting supercritical ethylene. Ethylene outflow is of particular interest and is a challenging scenario to model as typical operating temperatures are a few degrees above the critical temperature, 283 K. Thus when the pipe fractures the initial rapid depressurisation induces a number of propagation waves to travel up the pipeline initiating phase changes and fundamentally changing the nature of the outflow problem.The methodology presented is primarily based on an outflow model for compressed volatile liquid outflow as this is demonstrated to be the flow regime upstream of the pipe fracture after a small time interval following pipe fracture. The model is validated using a more complex commercially available pipeline model, PROFES for propane outflow as experimental data at relatively low pressure and short pipes exist in the open literature and has been used to validate the models considered here.Finally the ethylene outflow methodology has been applied to a number of different ethylene pipeline scenarios with a range of operating temperatures, pressures and pipeline diameters of interest to confirm that predicted outflow rates trend as expected.     

Modelling three-phase releases of carbon dioxide from high-pressure pipelines

This paper describes the development and experimental validation of a three-phase flow model for predicting the transient outflow following the failure of pressurised CO₂ pipelines and vessels. The choked flow parameters at the rupture plane, spanning the dense-phase and saturated conditions to below the triple point, are modelled by maximisation of the mass flowrate with respect to pressure and solids mass fraction at the triple point. The pertinent solid/vapour/liquid phase equilibrium data are predicted using an extended Peng–Robinson equation of state.The proposed outflow model is successfully validated against experimental data obtained from high-pressure CO₂ releases performed as part of the FP7 CO2PipeHaz project (www.co2pipehaz.eu).The formation of solid phase CO₂ at the triple point is marked by a stabilisation in pressure as confirmed by both theory and experimental observation. For a fixed diameter hypothetical pipeline at 100 bar and 20 °C, the flow model is used to determine the impact of the pipeline length on the time taken to commence solid CO₂ discharge following its rupture.     

Quantitative risk analysis of urban natural gas pipeline networks using geographical information systems

This paper presents a novel quantitative risk analysis process for urban natural gas pipeline networks using geographical information systems (GIS). The process incorporates an assessment of failure rates of integrated pipeline networks, a quantitative analysis model of accident consequences, and assessments of individual and societal risks. Firstly, the failure rates of the pipeline network are calculated using empirical formulas influenced by parameters such as external interference, corrosion, construction defects, and ground movements. Secondly, the impacts of accidents due to gas leakage, diffusion, fires, and explosions are analyzed by calculating the area influenced by poisoning, burns, and deaths. Lastly, based on the previous analyses, individual risks and social risks are calculated. The application of GIS technology helps strengthen the quantitative risk analysis (QRA) model and allows construction of a QRA system for urban gas pipeline networks that can aid pipeline management staff in demarcating high risk areas requiring more frequent inspections.     

石化压力管道冲蚀失效数值模拟及影响因素分析

以镇海REAC出口压力管道系统碳钢弯管为例,结合冲蚀失效机理,建立冲蚀失效流固耦合数理模型。利用数值模拟技术分析腐蚀产物保护膜与多相流动之间的交互作用,揭示弯管内壁剪切应力分布及保护膜主位移、应力、应变的分布规律,研究石化压力管道系统冲蚀失效过程;结合现场测厚数据验证有限元分析软件流固耦合数值模拟方法的可靠性;并进一步对比分析了流体流动特性、管件结构特性等特性参数对冲蚀的影响。为石化压力管道输送系统的冲蚀失效分析、结构优化设计、RBI和定期检验测厚定位、寿命预测、风险评估等安全保障研究提供理论依据和分析手段。     

多源信息融合的埋地管道健康评价方法

埋地管道长期受多种复杂因素作用而出现腐蚀、裂纹等多种损伤,很难由管道内检测数据以解析模型描述和评价管道健康状况问题,笔者提出了一种基于Vague集的多源信息多级融合方法,充分利用层次间信息特征的冗余性和互补性进行管道健康状况评价。建立了多信息源多级融合模型,定义了基于Vague集的多源信息数学描述,给出了该方法的数据组织形式和算法实现过程,并将其应用于埋地供水管道健康评价体系,验证了该方法的有效性、合理性。     

Dynamic failure probability analysis of urban gas pipeline network

The gas pipeline network is an essential infrastructure for a smart city. It provides a much-needed energy source; however, it poses a significant risk to the community. Effective risk management assists in maintaining the operational safety of the network. The risk management of the network requires reliable dynamic failure probability analysis. This paper proposes a methodology of condition monitoring and dynamic failure probability analysis of urban gas pipeline network. The methodology begins with identifying key design and operational factors responsible for pipeline failure. Subsequently, a causation-based failure model is developed as the Bowtie model. The Bowtie model is transformed into a Bayesian network, which is analyzed using operational data. The key contributory factors of accident causation are monitored. The monitored data is used to analyze the updated failure probability of the network. The gas pipeline network's dynamic failure probability is combined with the potential consequences to assess the risk. The application of the approach is demonstrated in a section of the urban gas pipeline.     

Modelling ice and wax formation in a pipeline in the Arctic environment

In the Arctic environment, the fluid temperature in the pipeline can drop below the freezing point of water, which causes wax and ice to form on the pipeline surface. Solid formation on the pipeline surface can lead to flow assurance and process safety issues, such as blockage of the pipeline, pipeline component failure, and release of hazardous liquid. Remediating the plugging requires a shutdown of pipeline operation, which incurs tremendous cost and delays the entire production system. In order to prevent blockage, the pigging operation can be used to remove the deposits on the pipeline surface on a regular interval. Ice and wax depositions in the pipeline are a slow process. However, if the deposition grows too thick, pipeline blockage can still occur after pigging operation. So, ice and wax deposition rates are required to be estimated accurately. This paper investigates ice and wax deposition rates in a 90,000 m pipeline. A fundamental model for both ice and wax deposition is proposed using the first principles of heat and mass transfer.     

Probabilistic multiple model neural network based leak detection system: Experimental study

This paper presents an effective decision making system for leak detection based on multiple generalized linear models and clustering techniques. The training data for the proposed decision system is obtained by setting up an experimental pipeline fully operational distribution system. The system is also equipped with data logging for three variables; namely, inlet pressure, outlet pressure, and outlet flow. The experimental setup is designed such that multi-operational conditions of the distribution system, including multi pressure and multi flow can be obtained. We then statistically tested and showed that pressure and flow variables can be used as signature of leak under the designed multi-operational conditions. It is then shown that the detection of leakages based on the training and testing of the proposed multi model decision system with pre data clustering, under multi operational conditions produces better recognition rates in comparison to the training based on the single model approach. This decision system is then equipped with the estimation of confidence limits and a method is proposed for using these confidence limits for obtaining more robust leakage recognition results.     

未确知测度模型在城市燃气管道安全评价中的应用

以未确知理论为基础,详细阐述未确知测度模型的建模过程。结合未确知测度模型,对影响城市燃气管道安全的因素进行系统的分析与评价。针对邯郸市城市燃气管道的工程实际,收集实测数据,确定安全评价指标,运用模型对实例进行计算求解,对邯郸市3区10个测点的管道安全级别进行评价。经调查检验,评价结果符合实际。该方法的提出旨在更有效地对燃气管道的安全进行评价,为有关部门提供采取安全措施的依据。     

基于多故障冲击模型和故障树的PFDavg计算方法研究*

为提高安全仪表功能（SIF）要求时危险失效平均概率（PFDavg）计算结果的精确度,提出1种能准确计算SIF在多重共因失效影响下的PFDavg的数学模型。建立包含多重共因失效的系统失效故障树,然后利用多故障冲击模型区分普通失效率和多重共因失效率,根据瞬时不可用率的定义和故障树的逻辑关系计算出SIF的瞬时不可用率;基于PFDavg的定义,计算出SIF的PFDavg,以某化工企业SIF为例进行验证。结果表明:方法有效考虑了多重共因失效对SIF的影响,通过模型计算出SIF的PFDavg大于基于马尔可夫（Markov）方法的软件计算结果,但二者处于相同的数量级。模型在评估SIF的PFDavg时比传统方法偏保守,能提高安全仪表功能的安全性。     

隧道掘进爆破载荷作用下埋地管道的振动峰值速度预测研究*

为研究隧道掘进爆破过程中地震效应对邻近埋地管道安全性的影响,建立平行于隧道的埋地管道数值模型,将管道视为薄壳圆柱体,定义管道在动载荷作用下的塑性破坏准则,并利用无量纲分析法构建管道表面质点的振动速度关于振动频率与爆破持续时间的数学模型,从而研究埋地管道受震特性。结果表明:隧道掘进爆破作业下成洞侧的管道应力峰值低于非成洞侧的管道应力峰值,爆炸载荷下邻近埋地管道表面最大振动速度位于爆源与管道表面最近点处,在该点两侧45度范围内为管道易受损位置。将预测公式计算所得振速峰值与数值模型提取的振速峰值进行比较,得出二者的平均误差约为17.7 %。     

Performance evaluation method of oil and gas pipeline integrity management

The performance evaluation of integrity management has become the focus of attention because integrity management has become widely accepted by pipeline operators. This paper proposes a three-index system of pipeline integrity management performance evaluation (TISPIMPE), which includes system construction, implementation process, and pipeline health status, comprehensively evaluating the status, adequacy, and effectiveness of integrity management. It helps the pipeline operators to determine the weakness in each step. Based on the improved analytic hierarchy process (AHP), the different backgrounds of experts are fully considered, and experts' opinions are revised. The adjustment coefficient of performance evaluation is set up simultaneously, and the evaluation results are adjusted to make the results more reasonable. Taking the performance evaluation of pipeline integrity management of an oil and gas company as an example, it is shown that TISPIMPE has reasonable practicability and can accurately reflect the shortcomings of pipeline integrity management. TISPIMPE can effectively help pipeline managers comprehensively and systematically evaluate the performance of pipeline integrity management and gain an in-depth understanding of pipeline operation status.     

基于元胞自动机数学模型的瓦斯抽采管道漏点定位研究

为了解决普通数学模型难以准确描述瓦斯抽采管道内流体的流动状态问题，提出了以元胞自动机模型为基础的瓦斯抽采管道漏点定位模型。根据元胞自动机在空间和时间上离散化的特性来演化管道流体在时空上的连续变化，将管径变化、管壁粗糙度、管构异件种类和数量以及温度等参数沿管道进行离散化，利用元胞自动机理论以及管道两端的信号对管道沿线压力和流量等参数变化进行预测，以判断泄漏的发生和漏点定位。通过实验验证，该方法能提高漏点定位精度。     

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.     

A model for the initial stages following the rupture of a natural gas transmission pipeline

Experience shows that, despite the best efforts of the pipeline industry worldwide, pipelines do fail and release their contents to the atmosphere. In the case of below-ground pipelines transmitting natural gas, there is a chance that the release will be ignited, posing a significant hazard to any people in the vicinity. Mindful of this hazard, an international group of gas companies have collaborated over a period of many years on research projects aimed at developing an understanding of how these releases may arise (failure causes), how often they might occur (failure frequency), what type of releases might be produced (failure modes) and what type of behaviour might be produced for each of these modes of release (consequence analysis). This paper has been prepared to describe the mathematical models that have been developed on behalf of this group to assess the initial transient period following the rupture of a buried natural gas transmission pipeline assuming the release ignites immediately. It gives details of the equations used by the different models and it refers to some of the experimental data that has been used in the development of the models. A comparison of the model with the experimental data is provided. This demonstrates that the early stages could have a significant impact when evaluating the harm that could be caused. This provides a justification for developing the models rather than using a simpler alternative that does not take the initial highly transient period into account.     

Developing a new fuzzy inference system for pipeline risk assessment

The problem of less and/or even lack of information and uncertainty in modeling and decision making plays a key role in many engineering problems; so that, it results in designers and engineers could not reach to sure solutions for the problems under consideration. In this paper, an application of the fuzzy logic for modeling the uncertainty involved in the problem of pipeline risk assessment is developed. For achieving the aim, relative risk score (RRS) methodology, one of the most popular techniques in pipeline risk assessment, is integrated with fuzzy logic. The proposed model is performed on fuzzy logic toolbox of MATLAB^® using Mamdani algorithm based on experts' knowledge. A typical case study is implemented and a comparison between the classical risk assessment approach and the proposed model is made. The results demonstrate that the proposed model provides more accurate, precise, sure results; so that, it can be taken into account as an intelligent risk assessment tool in different engineering problems.     

Comprehensive framework for underground pipeline management with reliability and cost factors using Monte Carlo simulation

A reliability model for underground pipeline management that can quantify the trade-off between risk reduction and increased maintenance costs in various underground piping management scenarios can be useful for many pipeline-maintenance decision-makers. In this paper, we propose a comprehensive framework for analyzing underground pipeline management options. Pipeline reliability is calculated using time-dependent and independent limit state functions with a probabilistic model and a deterministic model about the frequency of a failure occurrence event. The proposed framework includes the target reliability, consequences, and cost model, and has the advantage that it can be intuitively utilized for piping management decision-making. We conducted several case studies using a Monte Carlo simulation on pipelines in industrial complexes in Korea.     

城市燃气管道泄漏多因素耦合致灾机制研究

城市燃气管道很容易因复杂的城市环境影响而发生失效泄漏,而多灾害因素共同作用下的城市燃气泄漏的灾害后果更加严重,灾害形势更为复杂。为揭示城市燃气管道泄漏后多因素耦合作用下的动态致灾过程及灾害特征,首先采用系统框图对城市燃气管道泄漏灾害系统的内部结构进行分析,并在此基础上构建多因素耦合致灾数学模型;然后基于系统动力学理论,分别以燃气火灾、爆炸及毒害气体灾害为子模块,建立灾害系统动力学模型,并以模型检验来验证其适用性;最后应用于实际案例分析,采用系统动力学专用仿真软件,分别讨论了不同耦合条件下的单灾害和多灾害的动态致灾过程。结果表明:灾害子系统内部耦合度及同质耦合度增加,会促进各种灾害的增长速度、加速灾害发展,但不改变灾害损失的程度;而子系统间的耦合度增加,不仅会加快灾害的发展速度,还会提高其损失的程度、增加灾害损失的严重度。这表明,为有效控制复杂环境下的城市燃气管道泄漏灾害,应该削弱系统内部的因素耦合,孤立子系统间的因素耦合。     

Review: Biomechanics of Child Occupant Protection

This paper provides a review on the following issues: the differences in injury patterns between adults and children under similar loading conditions during an automotive crash event. Because of the recent awareness and the ensuing necessity, as an example, injuries including fatalities due to airbag deployment are discussed. Biomechanical differences explain the varying injury patterns and mechanisms of injury. The commonly adopted scaling techniques for predicting pediatric tolerances are described. A comparison of the biomechanical properties of the pediatric and adult structures is given. Some insight is provided with regard to the use of these data to develop validated mathematical models of pediatric structures. The paper concludes with recommendations for further research.     

走滑断层作用下X80管道设计应变规律和神经网络预测

走滑断层是埋地管道常见的地质灾害威胁,断层作用下管道会发生较大的拉压应变而失效。为得到X80管道的设计应变,基于有限元方法建立了走滑断层作用下管道的应变响应数值计算模型,模型使用壳单元模拟管道,非线性弹簧单元模拟土壤约束,采用西二线实际工程的管道应变影响参数范围,计算了管道的设计应变;为预测管道的设计应变值,基于以上参数化分析得到的4 817组设计应变结果,采用人工神经网络建立了管道设计应变预测模型。结果表明:该神经网络模型预测结果的最大相对误差小于10%,预测准确性良好,且该方法具有较高的计算效率,可以为断层作用下埋地管道的应变设计与评估提供参考。