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

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

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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 ad-dition,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 achiev-ing high practical value.

OBNdynamic location methodLevenberg-Marquart algorithmseismic exploration of shallow sea

TONG Siyou、LI Junjie、XU Xiugang、FANG Yunfen、WANG Zhongcheng

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Key Laboratory of Submarine Geosciences and Prospecting Techniques,MOE,Ocean University of China,Qingdao 266100,China

Laboratory for Marine Mineral Resources,Qingdao Marine Science and Technology Center,Qingdao 266237,China

R&D Center of BGP,CNPC,Zhuozhou 072751,China

Insitute of Shengli Oilfield,SINOPEC,Dongying 257022,China

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National Natural Science Foundation of ChinaScientific Research and Technology Development Project of China National Petroleum CorporationGeoEast Processing System provided by BGP

420741402021ZG02

2024

10.1007/s11802-024-5653-6

中国海洋大学学报(自然科学英文版)
中国海洋大学

中国海洋大学学报(自然科学英文版)

CSTPCD
影响因子：0.268
ISSN：1672-5182
年,卷(期)：2024.23(4)
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