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With the objective of leakage detection and localization, our approach consists of recording and modeling the acoustic signals induced by the oil-spill and implementing advanced signal processing and triangulation localization techniques with a hydrophone network.

Tasks of this project are:

  1. Conduct a laboratory study to simulate hydrocarbon leakages and their induced sound under controlled conditions, and to establish the correlation between frequency spectra and leakage properties, such as oil-jet intensities and speeds, bubble radii and distributions, and crack sizes.
  2. Implement and develop acoustic bubble modeling for estimating features and strength of the oil leakage.
  3. Develop a set of advanced signal processing and triangulation algorithms for leakage detection and localization.

Zhiqu Lu, a senior research scientist II at the National Center for Physical Acoustics and Research associate professor of  Physics and Astronomy is responsible for the experimentation and overview of the project. Likun Zhang, an assistant professor of  Physics and Astronomy, is responsible for the implementation and development of acoustic bubble modeling. Lei Cao, professor of Electrical Engineering, is responsible for the development of localization algorithms.