First-Arrival Picking Method for Active Source Data with Ocean Bottom Seismometers Based on Spatial Waveform Variation Characteristics  

作　　者：LIU Hongwei XING Lei ZHU Henghua ZHANG Jin ZHANG Jing LIU Huaishan 

机构地区：[1]Key Laboratory of Submarine Geosciences and Prospecting Techniques,Ministry of Education,College of Marine Geosciences,Ocean University of China,Qingdao 266100,China [2]Laboratory for Marine Mineral Resources,Qingdao Marine Science and Technology Center,Qingdao 266071,China [3]College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China [4]Shandong Institute of Geological Survey,Jinan 250014,China

出　　处：《Journal of Ocean University of China》2024年第4期970-980,共11页中国海洋大学学报（英文版）

基　　金：supported by the Major Research Plan on West-Pacific Earth System Multispheric Interactions (Nos.91858215,91958206);the National Natural Science Foundation of China (NSFC)Shiptime Sharing Project (No.41949581);the Key Research and Development Program of Shandong Province (No.2019GHY112019)。

摘　　要：The precision and reliability of first-arrival picking are crucial for determining the accuracy of geological structure inversion using active source ocean bottom seismometer(OBS)refraction data.Traditional methods for first-arrival picking based on sample points are characterized by theoretical errors,especially in low-sampling-frequency OBS data because the travel time of seismic waves is not an integer multiple of the sampling interval.In this paper,a first-arrival picking method that utilizes the spatial waveform variation characteristics of active source OBS data is presented.First,the distribution law of theoretical error is examined;adjacent traces exhibit variation characteristics in their waveforms.Second,a label cross-correlation superposition method for extracting highfrequency signals is presented to enhance the first-arrival picking precision.Results from synthetic and field data verify that the proposed approach is robust,successfully overcomes the limitations of low sampling frequency,and achieves precise outcomes that are comparable with those of high-sampling-frequency data.

关 键 词：first-arrival picking spatial waveform variation label cross-correlation superposition method 

分 类 号：P716.83[天文地球—海洋科学]