해양 탄성파탐사 자료의 순간주파수를 활용한 해저 퇴적물 분류 (Seafloor Sediment Classification using Instantaneous Frequency of Marine Seismic Data)

서지정보

· 발행기관 : 한국산업융합학회
· 수록지 정보 : 한국산업융합학회논문집 / 28권 / 2호 / 499 ~ 508페이지
· 저자명 : 이상희, 김성보

초록

This study applied an instantaneous frequency analysis technique to evaluate seabed materials using sub-bottom profiler (SBP) data from a marine seismic survey. The seafloor is composed of various sediments and bedrock, each exhibiting different acoustic reflection and attenuation characteristics. Previous research mainly used amplitude attenuation or reflection coefficients to classify sediments. In contrast, this study focused on the variation of instantaneous frequency to improve the accuracy of sediments classification. To achieve this, the energy envelope of the reflected wave was extracted, and the Hilbert transform was used to calculate instantaneous frequency. The results showed that bedrock exhibited primary reflected wave frequencies ranging from 300 to 700 Hz, with distinctive W-shaped and M-shaped patterns. Sandy sediments had slightly higher frequencies between 500 and 800 Hz, also forming W- and M-shaped patterns. Muddy sediments displayed a central frequency near 800 Hz; however, secondary reflections were unclear, and significant signal attenuation was observed due to high water content and low porosity. These findings demonstrate that instantaneous frequency analysis enhances the interpretation of marine seismic data and enables more precise evaluation of seafloor materials compared to traditional amplitude-based methods. The technique supports applications such as offshore construction site investigation, seabed environmental assessment, and marine resource exploration. Future research should explore machine learning and data fusion approaches to develop automated classification systems and validate them across diverse marine environments for broader reliability.

영어초록

This study applied an instantaneous frequency analysis technique to evaluate seabed materials using sub-bottom profiler (SBP) data from a marine seismic survey. The seafloor is composed of various sediments and bedrock, each exhibiting different acoustic reflection and attenuation characteristics. Previous research mainly used amplitude attenuation or reflection coefficients to classify sediments. In contrast, this study focused on the variation of instantaneous frequency to improve the accuracy of sediments classification. To achieve this, the energy envelope of the reflected wave was extracted, and the Hilbert transform was used to calculate instantaneous frequency. The results showed that bedrock exhibited primary reflected wave frequencies ranging from 300 to 700 Hz, with distinctive W-shaped and M-shaped patterns. Sandy sediments had slightly higher frequencies between 500 and 800 Hz, also forming W- and M-shaped patterns. Muddy sediments displayed a central frequency near 800 Hz; however, secondary reflections were unclear, and significant signal attenuation was observed due to high water content and low porosity. These findings demonstrate that instantaneous frequency analysis enhances the interpretation of marine seismic data and enables more precise evaluation of seafloor materials compared to traditional amplitude-based methods. The technique supports applications such as offshore construction site investigation, seabed environmental assessment, and marine resource exploration. Future research should explore machine learning and data fusion approaches to develop automated classification systems and validate them across diverse marine environments for broader reliability.

참고자료

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