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Research on the 3D Reverse Time Migration Technique for Internal Defects Imaging and Sensor Settings of Pressure
Daicheng Peng1, Xiaoyu She1, Yunpeng Zheng2
1Key Laboratory of Exploration Technologies for Oil and Gas Resource, Yangtze University, Ministry of Education, Wuhan 430100, China.
This study introduces a 3D ultrasonic Reverse Time Migration (RTM) imaging method to detect internal defects in pressure pipelines, improving upon 2D ultrasound limitations for enhanced pipeline safety and efficiency.
Area of Science:
- Non-destructive testing
- Ultrasonic imaging
- Geophysical exploration techniques
Background:
- Pressure pipelines are vital for transporting oil, gas, and chemicals but are prone to fatigue cracks under cyclic loading.
- Current 2D ultrasound imaging struggles to fully visualize internal pipeline defects and topography.
- Accurate pipeline defect characterization is crucial for mitigating safety risks and ensuring operational efficiency.
Purpose of the Study:
- To introduce a 3D ultrasonic Reverse Time Migration (RTM) imaging method for pressure pipelines.
- To enhance the visualization of internal defects and optimize sensor settings.
- To address limitations of current 2D ultrasound imaging for pipeline inspection.
Main Methods:
- Adapted Reverse Time Migration (RTM), a geophysical exploration technique, for ultrasonic non-destructive testing.
- Developed a 3D ultrasonic RTM imaging approach tailored for cylindrical pipeline coordinates with absorbing and double free boundaries.
- Simulated wave field extrapolation and analyzed imaging results from various sensor configurations.
Main Results:
- Achieved high-precision 3D imaging of internal pipeline defects by suppressing artifacts.
- Demonstrated an imaging range accuracy up to 97.85% in both simulations and field data.
- Optimized the observation system design for improved imaging and interpretation of pipeline defects.
Conclusions:
- The proposed 3D ultrasonic RTM method offers superior imaging of internal pipeline defects compared to traditional methods.
- This technique effectively accounts for complex wave phenomena like multiple scattering and mode conversions.
- The optimized sensor settings provide a foundation for practical application in real-world pipeline integrity assessments.
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