Research Progress on Intelligent X-ray Backscattering Nondestructive Testing Robot for Internal Pipeline Inspection of Petroleum Pipelines
LI Hui1), LI DeYuan1),WANG YongAn2), ZHANG XiaoDong1,3)
(1. Nuclear and Radiation Frontier Technology Research Center, China Institute for Radiation Protection, Taiyuan, 030006, China; 2. Xi’an Aohua Electronic Instrument Co. Ltd.,Xi’an, 710100; 3. School of Nuclear Science and Engineering, North China Electric Power University, Beijing, 102206)
Abstract:The use of non-destructive inspection techniques to ensure the safety, efficiency, environmental integrity and compliance of oil pipeline infrastructure is very important. The X-ray transmission imaging technology is often used for non-destructive testing outside the pipe, but for deep buried petroleum pipelines, its equipment cannot meet environmental layout requirements. The commonly used ultrasonic internal pipe inspection method can detect lamination corrosion and wall thickness very well, but it has poor detection effect on pitting corrosion, and requires liquid medium and cleaning device. The magnetic flux leakage detection method can detect pitting corrosion and deformation, but it is poor at resolving the sizing corrosion clusters. In view of the problems existing in the non-destructive inspection technologies of deep buried pipelines, this paper proposes the concept of an intelligent X-ray backscattering nondestructive in-line inspection robot by using the advantages of the high penetrating ability of X-rays, the single-sided arrangement of backscattering imaging technology and the modern intelligent robot technology. The Monte Carlo software (Geant4) has been used to model and design the core of the proposed X-ray backscatter imaging system, and further used to simulate the detection performance of defects. The simulation results show that the X-ray backscattering detection technology can detect the variation of the wall thickness defects of ≥4 mm and the cracks of ≥1 mm width in the pipe. The detection system could be further improved in resolution.
Key Words:pipeline;X ray backscattering image;nondestructive testing technology