Pipeline slope disaster safety evaluation and analysis based on in-situ monitoring and numerical calculations
[Objective]Oil and gas pipelines are mainly buried in mountainous areas in China and have been threaten by frequent slopes of slopes.The slope is easy to occur landslides when it is unstable,and the stability of the slope is particularly important for the safety of the pipeline.Single method such as remote sensing technology,prototype monitoring,and numerical simulation are difficult to comprehensively evaluate and analyze the safety of pipeline slope.To enrich the research in this area,[Methods]based on the method of combining prototype monitoring with FLAC3D numerical simulation,this study analyzes the safety and sta-bility of the oil pipeline and slope at the Qujing Station PQ083-020.[Results]Compared with the stability and displacement of the slope and the displacement and stress of pipelines under different original and rainfall working conditions,the result show that it is difficult to evaluate the stability of the three broken surfaces based on the single parameters of rainfall,inclination,displace-ment,and soil pressure.Under the effect of the maximum rainfall of 3.6 mm during the monitoring period,the safety and stabili-ty coefficient of the slope is equal to 1.027,which is lack of stability.[Conclusion]Rainfall is one of the factors that cause un-stable trends in the slope and the increase of stress of pipelines.When the rainfall warning threshold exceeds 24 mm/d,the slope is risk of loss of stability and damage.At this time,the stress and displacement of the pipeline was 0.130 MPa and 0.028 m,which was still safe.The result of the research provide certain guidance for the early warning of slope safety,and the threat of the disaster near the project to the pipeline and nearby factories and personnel will be reduced,which is of great significance for the analysis of the stability of the slope and the risk assessment of the pipeline.
numerical simulationin-situ monitoringoil and gas pipelinesslope disasterrisk evaluationrainfallremote sensinglandslide
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