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Published on: June 16, 2023
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Marine compressed air source array primary acoustic field characterization from at-sea measurements
Natalia Sidorovskaia1, Kun Li1
1Department of Physics, University of Louisiana at Lafayette, Lafayette, Louisiana 70508, USA.
The Journal of the Acoustical Society of America
|July 1, 2022
Summary
This study characterizes the acoustic field of seismic airgun arrays using calibrated data. Results show distance alone is unreliable for assessing marine life exposure, but a simplified model accurately predicts acoustic metrics.
Area of Science:
- Marine acoustics
- Seismic exploration
- Environmental impact assessment
Background:
- Seismic surveys are crucial for resource exploration.
- Understanding the acoustic fields of seismic sources is vital for assessing marine ecosystem impacts.
- Previous models often oversimplify the complex acoustic emissions from seismic arrays.
Purpose of the Study:
- To characterize the primary acoustic field of a standard seismic survey source array.
- To calculate acoustic metrics relevant to potential impacts on marine life.
- To evaluate the reliability of distance as a predictor of acoustic exposure.
Main Methods:
- Collected calibrated acoustic data using three vertical array moorings in the Gulf of Mexico.
- Deployed a source vessel along specified survey lines for broad spatial coverage.
- Calculated acoustic metrics from recorded data, including sound pressure levels and far-field variations.
Main Results:
- Sound pressure levels showed high variability with distance, indicating distance is not a sole reliable parameter for exposure assessment.
- A simplified model accurately predicted far-field acoustic metrics along the acoustic path for specific angular bins.
- The study provides a calibrated dataset for validating and developing acoustic propagation models.
Conclusions:
- Distance is an insufficient parameter for determining marine life exposure to seismic survey noise.
- A directional, simplified model effectively predicts acoustic field variations.
- The findings support improved environmental impact assessments for seismic surveys.
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