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Dynamic Location Method for Shallow Ocean Bottom Nodes Using the Levenberg-Marquart Algorithm

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Abstract

Ocean bottom node (OBN) data acquisition is the main development direction of marine seismic exploration; it is widely promoted, especially in shallow sea environments. However, the OBN receivers may move several times because they are easily affected by tides, currents, and other factors in the shallow sea environment during long-term acquisition. If uncorrected, then the imaging quality of subsequent processing will be affected. The conventional secondary positioning does not consider the case of multiple movements of the receivers, and the accuracy of secondary positioning is insufficient. The first arrival wave of OBN seismic data in shallow ocean mainly comprises refracted waves. In this study, a nonlinear model is established in accordance with the propagation mechanism of a refracted wave and its relationship with the time interval curve to realize the accurate location of multiple receiver movements. In addition, the Levenberg-Marquart algorithm is used to reduce the influence of the first arrival pickup error and to automatically detect the receiver movements, identifying the accurate dynamic relocation of the receivers. The simulation and field data show that the proposed method can realize the dynamic location of multiple receiver movements, thereby improving the accuracy of seismic imaging and achieving high practical value.

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Acknowledgements

This research is funded by the National Natural Science Foundation of China (No. 42074140), and the Scientific Research and Technology Development Project of China National Petroleum Corporation (No. 2021ZG02). At the same time, we would like to thank the GeoEast Processing System provided by BGP for its support of this study.

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Correspondence to **ugang Xu.

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Tong, S., Li, J., Xu, X. et al. Dynamic Location Method for Shallow Ocean Bottom Nodes Using the Levenberg-Marquart Algorithm. J. Ocean Univ. China 23, 953–960 (2024). https://doi.org/10.1007/s11802-024-5653-6

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  • DOI: https://doi.org/10.1007/s11802-024-5653-6

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