Complex sea-surface condition deghosting technology of towed streamer data

Fang, Zhijia; Shi, Wen-Ying; Zhang, Xingyan; Zhiwei, Dan; Sun, Lei; Pengyu, Shuai

doi:10.1088/1742-2140/aa735c

J. Geophys. Eng.

2017

DOI: 10.1088/1742-2140/aa735c

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Complex sea-surface condition deghosting technology of towed streamer data

Zhijia Fang

Wen-Ying Shi

Xingyan Zhang

et al.

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Cited by 2 publications

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Research on fall prevention and safety protection for electric power tower climbing operations based on the longhorn whisker algorithm

Zhan,

Zeng,

2024

J. Phys.: Conf. Ser.

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With the continuous development of the power industry, the safety of power tower climbing operations is increasingly valued. This study focuses on the anti-fall safety protection of electric power tower climbing operations and proposes a study on the anti-fall safety protection of electric power tower climbing operations based on the Longhorn whisker algorithm. Firstly, real-time image acquisition of the climbing operation site is carried out through the camera equipment carried by the drone, ensuring clear and comprehensive information on the working environment is obtained. Secondly, extract hazardous features in climbing operations, such as abnormal worker posture, tool detachment, etc. These features are important indicators of potential fall risks. Finally, a fall hazard detection model is constructed and optimized using the Longhorn Whisker algorithm to identify and warn of impending fall events, thereby providing timely safety protection for climbing operators. The experimental results show that this method has shown significant effectiveness in improving job safety, providing strong technical support for the safety protection of power tower climbing operations.

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Research on fall prevention and safety protection for electric power tower climbing operations based on the longhorn whisker algorithm

Zhan,

Zeng,

2024

J. Phys.: Conf. Ser.

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Realistic weather conditions and removal of time-varying sea-surface effects: Application on ocean-bottom-cable data

Cecconello

Söllner

2020

GEOPHYSICS

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In marine seismic acquisition, seismic reflections at the sea surface, such as sea-surface ghosts and multiples, affect the accuracy of the retrieved subsurface reflections and reduce the usable frequency bandwidth. These sea-surface effects tend to increase with the increasing roughness of the weather conditions. Consequently, processing techniques that neglect the roughness and time variation of the sea surface induce errors in the data that could compromise the validity of the final images and interpretations. We study the impact of time-varying rough sea surfaces using a modeling method derived from the Rayleigh reciprocity theorem for time-varying surfaces, and we analyze errors in the source-deghosting operation. We show that the source-deghosting limitations are weather dependent for data including sea-surface multiples: For calm sea states (wave heights below 1.25 m), the error made by the source-deghosting process is negligible; however, for rough seas (wave heights above 1.5 m), it becomes significant and blurs the deghosted image at the sea-surface multiple signals. To accurately remove all sea-surface effects from the seismic data, we simultaneously apply source-deghosting and multiple-removal operations to the same up-going wavefield. This procedure is shown to be weather independent based on our theoretical derivation and the synthetic results. Finally, this is tested on a 2D OBC data set. Comparing the proposed inversion to up-down deconvolution, we observe similar features in both wavefields: Source ghosts and sea-surface multiples seem to have been correctly removed from the data, and the inverted result indicates a slightly better resolution for deeper reflections.

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Complex sea-surface condition deghosting technology of towed streamer data

Cited by 2 publications

References 13 publications

Research on fall prevention and safety protection for electric power tower climbing operations based on the longhorn whisker algorithm

Research on fall prevention and safety protection for electric power tower climbing operations based on the longhorn whisker algorithm

Realistic weather conditions and removal of time-varying sea-surface effects: Application on ocean-bottom-cable data

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