High-Precision Sub-Seafloor Velocity Building Based on Joint Tomography and Deep Learning on OBS Data in the South China Sea  

作　　者：Guoxin Chen Jun Li Jinxin Chen Rongsen Du Yutao Liu Yuli Qi Chun-Feng Li Xingguo Huang 

机构地区：[1]Department of Marine Sciences,Zhejiang University,Zhoushan 316021,China [2]Hainan Institute,Zhejiang University,Sanya 572025,China [3]Chinese Academy of Sciences,Institute of Software,National Key Laboratory of Space Integrated Information System,Beijing 100190,China [4]College of Instrumentation and Electrical Engineering,Jilin University,Changchun 130026,China

出　　处：《Journal of Earth Science》2025年第2期830-834,共5页地球科学学刊(英文版)

基　　金：financially supported by the National Key R&D Program of China(No.2023YFF0803404);the Zhejiang Provincial Natural Science Foundation(No.LY23D040001);the Open Research Fund of Key Laboratory of Engineering Geophysical Prospecting and Detection of Chinese Geophysical Society(No.CJ2021GB01);the Open Re-search Fund of Changjiang River Scientific Research Institute(No.CKWV20221011/KY);the ZhouShan Science and Technology Project(No.2023C81010);the National Natural Science Foundation of China(No.41904100);supported by Chinese Natural Science Foundation Open Research Cruise(Cruise No.NORC2019–08)。

摘　　要：INTRODUCTION.Crustal velocity model is crucial for describing the subsurface composition and structure,and has significant implications in offshore oil and gas exploration and marine geophysical engineering(Xie et al.,2024).Currently,travel time tomography is the most commonly used method for velocity modeling based on ocean bottom seismometer(OBS)data(Zhang et al.,2023;Sambolian et al.,2021).This method usually assumes that the sub-seafloor structure is layered,and therefore faces challenges in high-precision modeling with strong lateral discontinuities.

关 键 词：velocity modeling time tomography marine geophysical engineering xie joint tomography describing subsurface composition structureand high precision velocity modeling offshore oil gas exploration ocean bottom seismometer obs data zhang 

分 类 号：P631[天文地球—地质矿产勘探]