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

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