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

Abstract

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.

A Data-Driven Based Method for Pipeline Additional Stress Prediction Subject to Landslide Geohazards

“…In landslide monitoring, the monitoring contents are different with various requirements, among which surface displacement monitoring and inner displacement monitoring are the most important objects. For the inducing factors of geological disasters, the monitoring elements mainly include meteorological conditions such as rainfall, snowmelt, temperature, and evaporation, as well as hydrological conditions such as surface water, river, ditch water level, pore water pressure, soil moisture content, and groundwater level [23]. In this paper, parameters including pipeline additional stress, landslide surface displacement, landslide inner displacement, anti-sliding pile inclination, landslide traction stress and compressive stress, and soil pressure are selected as the monitoring indicators to form a joint monitoring system for pipeline landslide events.…”

Quantitative Estimation of Pipeline Slope Disaster Risk in China

“…However, this method is not only costly, but also poorly evaluated. More recently, developments in satellite, airborne, and ground monitoring technologies have driven research on remote, real-time monitoring of pipeline geological hazards (Leynes et al 2005;Marinos et al 2019;Yan, Xiong, et al 2022). Real-time monitoring of landslides can provide early warnings for pipeline landslide hazards (Vasconez et al 2010;Lombardi et al 2016;Yan et al 2019).…”

Research on underwater pipeline leakage monitoring based on distributed fiber optic acoustic sensing technology

“…Leaks from underwater pipelines will cause great economic loss and environmental pollution. Therefore, enhancing the safety of underwater gas transmission pipelines and minimizing financial losses require effective and real-time leakage monitoring of underwater pipelines [3][4] . At present, Domestic and foreign researchers have done a lot of work on pipeline leakage monitoring, proposing various methods such as acoustic emission, negative pressure wave, and intelligent underwater robots [5][6] .…”