The Acoustic Wave Reflection (AWR) technique is well-known for monitoring pipeline defects and leakages. AWR typically requires the use of sensors, microphones/hydrophones, and speakers or integrated microphone and speaker sensors along the pipeline to transmit and receive the acoustic signals to identify the possible defect location. However, several pipeline networks, such as oil and gas industries, water supply pipeline networks, etc., run over hundreds to thousands of kilometres. Therefore, it is crucial to optimise the number and location of sensors for cost-effectiveness and operational efficiency. In this study, the AWR technique is adopted to determine the optimal distance between the sensors (microphones/hydrophones and speakers) based on the forward and reflected travel distance of the acoustic waves. This paper proposes a step-by-step methodology and its demonstration through a simple, straight, long pipeline. This can be extended further to any pipeline networks and any field trials.

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Optimisation of Distance Between Sensor Locations in a Long Pipe Network for Condition Monitoring Using Acoustic Wave Reflection Technique

  • Buloere F. Ekeu-wei,
  • Kassandra A. Papadopoulou,
  • Jyoti K. Sinha

摘要

The Acoustic Wave Reflection (AWR) technique is well-known for monitoring pipeline defects and leakages. AWR typically requires the use of sensors, microphones/hydrophones, and speakers or integrated microphone and speaker sensors along the pipeline to transmit and receive the acoustic signals to identify the possible defect location. However, several pipeline networks, such as oil and gas industries, water supply pipeline networks, etc., run over hundreds to thousands of kilometres. Therefore, it is crucial to optimise the number and location of sensors for cost-effectiveness and operational efficiency. In this study, the AWR technique is adopted to determine the optimal distance between the sensors (microphones/hydrophones and speakers) based on the forward and reflected travel distance of the acoustic waves. This paper proposes a step-by-step methodology and its demonstration through a simple, straight, long pipeline. This can be extended further to any pipeline networks and any field trials.