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Acoustic Sensing-Based Detection Methodology for Downhole Fallen Objects in Oil and Gas Wells

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DataCite Commons2025-03-03 更新2025-04-16 收录
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https://ieee-dataport.org/documents/acoustic-sensing-based-detection-methodology-downhole-fallen-objects-oil-and-gas-wells
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This study adopts a comprehensive approach that integrates finite element simulations with experimental validation to investigate the potential application of ultrasonic imaging technology for downhole fallen objects detection. The study first employed finite element simulations to model the impact of fallen objects on acoustic wave propagation, with a focus on examining the correlations between the reflected signal and the fallen objects' spatial position, size, and the probe's excitation frequency. Based on the simulation results, an innovative ultrasonic imaging method for detecting fallen objects was proposed. Building upon the insights gained from numerical simulations, a dedicated experimental platform was developed to validate the proposed approach.
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IEEE DataPort
创建时间:
2025-03-03
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