Failure analysis of a natural gas pipeline subjected to landslide

Vasseghi, A.; Haghshenas, Ebrahim; Soroushian, Aram; Rakhshandeh, Masoumeh

doi:10.1016/j.engfailanal.2020.105009

Cited by 62 publications

(22 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, in July 2016, a landslide along the Sichuan-East Gas Pipeline, China, caused two deaths, nine injuries, direct economic losses of nearly 30 million yuan and indirect economic losses of over 23 million yuan (Zhou, 2018). In March 2019, a landslide induced by heavy rainfall caused a natural gas pipeline in Iran to rupture and explode, interrupting the gas supply to over 12,000 users (Vasseghi et al, 2021). Prevention and control of pipeline slope hazards is needed to reduce the losses associated with pipeline slope accidents, and this requires effective monitoring and early warning.…”

Section: Introductionmentioning

confidence: 99%

A Whole Process Risk Management System for the Monitoring and Early Warning of Slope Hazards Affecting Gas and Oil Pipelines

et al. 2022

View full text Add to dashboard Cite

Pipelines are important methods of oil and gas transportation and are fundamental to many country’s economies. Pipeline safety is a critical issue; over 96% of pipeline accidents due to ground movement are caused by slope hazards and these can lead to serious personnel and property losses. Therefore, effective pipeline slope hazard monitoring and early warning is crucial, but there are many limitations to existing measures. The recent advance in remote sensing technologies enables the collection of slope hazards information that maps the spatial distribution of landslide. But this approach cannot provide real-time monitoring and early warning as there is a time lag due to image processing. Also, pipelines are considered separately from the slope hazard, with only slope event occurrence assessed rather than quantification of the impact of the hazard on the pipeline. Here, we report on a whole process risk management system for the pipeline slope hazard, incorporating monitoring and early warning of pipeline slope hazards. Three sites at risk of slope hazard on the Guangdong Dapeng Liquefied Natural Gas (LNG) Company pipeline in Guandong, South China - Zhangmutou, Huoshaogang and Dapeng New District - were selected for research and implementation of the whole process risk management, monitoring and early warning system. The system is shown to operate well and, overall, we found that the three sites are relatively stable at present. This research provides widely applicable guidance for the prevention, control, and early warning of pipeline slope hazards.

show abstract

Section: Introductionmentioning

confidence: 99%

A Whole Process Risk Management System for the Monitoring and Early Warning of Slope Hazards Affecting Gas and Oil Pipelines

et al. 2022

View full text Add to dashboard Cite

show abstract

“…As the fifth-largest transportation method, pipeline transportation has the advantages of low cost, safety, and reliability and is widely used [1] to [3]. With the large-scale use of pipelines and the increase in their service time, they can be affected by internal corrosion and human intervention, and thus pipelines will always be prone to rupture and erosion [4] to [6]. Buried pipelines will transport oil and natural gas to avoid the interference of external factors and save space [7] to [9].…”

Section: Introductionmentioning

confidence: 99%

Research on the Traction and Obstacle-Surmounting Performance of an Adaptive Pipeline-Plugging Robot

Yan¹,

Li²,

Kou³

et al. 2022

sv-jme

View full text Add to dashboard Cite

To solve a series of problems, such as damage, increased impurities and obstacles caused by medium corrosion, and erosion in the long-term use of the pipeline, a multi-body distributed adaptive pipeline plugging and repairing robot with good driving performance and strong reliability is proposed by using the modular design method. By establishing the obstacle-crossing model of the robot, the traction equation and obstacle-crossing equation of the driving wheel and supporting wheel are studied. It can be seen from the equation that reducing the deflection angle of the driving wheel or reducing the speed of the motor spindle can improve the obstacle-crossing ability. The driving unit model is established in ADAMS software, and its running speed, driving force, and obstacle-crossing height are simulated and analysed. The model prototype is established and verified with experiments. When the deflection angle of the robot driving wheel is set to 20° to 35°, it meets the design requirements. When the deflection angle of the driving wheel is set to 20°, the robot has large traction, good running stability and high obstacle-crossing height. The maximum obstacle-crossing height is 6 mm. At this time, the robot reaches the best running state. The design of an adaptive leakage plugging robot for buried pipelines provides an important reference for the research and development of pipeline emergency prevention and control equipment.

show abstract

“…On this basis, considering the influence of slope structure parameters (slope width, slope, and displacement) and pipeline process parameters (burial depth, diameter-thickness ratio, internal pressure) on the mechanical characteristics of the pipeline, and expanding the multi-condition finite element method simulation, the effect of slopes on pipelines has been discussed in a more comprehensive and detailed manner (Lollino et al, 2010;Zhang et al, 2016Zhang et al, , 2018. After mastering the law of pipe mechanics response, the research work gradually turned to the prediction of pipeline safety, such as: discussing the maximum safe length of the pipeline under the above-mentioned multiple working conditions, proposing a prediction formula for the maximum stress of the pipeline, and using actual monitoring data to verify related reliability of conclusions (Ishii et al, 2012;Luo et al, 2014;Li et al, 2016;Vasseghi et al, 2021). In summary, the slope-pipe coupling finite element simulation and monitoring data combined analysis is an effective method for pipeline safety assessment in unstable slope areas.…”

Section: Introductionmentioning

confidence: 99%

Detection and Numerical Simulation of Potential Hazard in Oil Pipeline Areas Based on UAV Surveys

Yan

Yin

et al. 2021

Front. Earth Sci.

View full text Add to dashboard Cite

Western China is rich in oil and gas resources, and many oil and gas pipelines are under construction or have been completed. However, many water-related natural hazards, such as landslides, collapses, rockfalls, and debris flows, have developed in the areas passed through by oil and gas pipelines and seriously threaten the operational safety of these pipelines. Therefore, it is urgent to carry out large-scale identification and assessment of pipeline geological hazards. At present, conventional on-site investigation, evaluation, monitoring, and early warning methods are difficult to apply for rapid identification and evaluation of pipeline geological hazards across large-scale areas. Based on this, this study takes the pipeline of Sinopec Marketing South China Branch in Yunnan Province as the research area. In this research, unmanned aerial vehicle (UAV) and photogrammetry technology were used to quickly and accurately obtain multi-phase images of an oil pipeline passing through the study area, and the images were post-processed to obtain multi-phase high-resolution, high-precision digital orthophoto maps and digital terrain models (DTMs) to identify landform changes and deformation. The focus of this research is to propose a set of technical methods for UAV point cloud filtering. The DTMs obtained based on this method can effectively identify unstable areas of oil pipelines. In addition, we have carried out numerical simulations under different motion scenarios in unstable regions, providing scientific support for future geological hazard prevention and mitigation and engineering practices in oil pipeline areas.

show abstract

Failure analysis of a natural gas pipeline subjected to landslide

Cited by 62 publications

References 9 publications

A Whole Process Risk Management System for the Monitoring and Early Warning of Slope Hazards Affecting Gas and Oil Pipelines

A Whole Process Risk Management System for the Monitoring and Early Warning of Slope Hazards Affecting Gas and Oil Pipelines

Research on the Traction and Obstacle-Surmounting Performance of an Adaptive Pipeline-Plugging Robot

Detection and Numerical Simulation of Potential Hazard in Oil Pipeline Areas Based on UAV Surveys

Contact Info

Product

Resources

About