热带地理 ›› 2017, Vol. 37 ›› Issue (6): 874-879.doi: 10.13284/j.cnki.rddl.002943

• 论文 • 上一篇    下一篇

基于Chirp数据反演琼州海峡海底沉积物物性

陈 静1,吕修亚1,陈 亮1,郑红波2,林秋金3   

  1. [ 1.国家海洋局南海调查技术中心,广州 510300;2.中国科学院边缘海重点实验室//南海海洋研究所,广州 510301; 3.中海石油(中国)有限公司深圳分公司,广州 510240 ]
  • 出版日期:2017-11-05 发布日期:2017-11-05
  • 作者简介:陈静(1986―),女,山东菏泽人,助理工程师,硕士,主要从事海洋工程调查浅地层剖面数据处理相关工作,(E-mail)chenjing0919@126.com。
  • 基金资助:
    国家海洋局南海分局局长基金(1419);中国科学院声学研究所声场声信息国家重点实验室开放课题(SKLOA201605基于浅剖声纳数据奇异值分解在海底沉积物底质分类研究中的应用)

Physical Properties of the Seabed Inversed by Chirp Data in the Qiongzhou Strait

CHEN Jing1,LYU Xiuya1,CHEN Liang1,ZHENG Hongbo2,LIN Qiujin3   

  1. (1.South China Sea Marine Survey and Technology Center,SOA,Guangzhou 510300,China;2.CAS Key Laboratory of Marginal Sea Geology, South China Sea Institute of Oceanology,Guangzhou 510301,China;3.Shenzhen Branch of CNOOC Ltd.,Guangzhou 510240,China)
  • Online:2017-11-05 Published:2017-11-05

摘要: Chirp浅剖数据不仅能刻画海底地层的地质构造信息,还能用于海底沉积物物性特征的反演。利用在琼州海峡南方主网与海南电网第二回联网工程海底电缆路由调查项目中所获取的浅剖数据,采用地球物理方法即基于Biot-Stoll模型来反演海底表层沉积物声速、密度和孔隙度等物理性质。通过该反演方法得到研究区海底沉积物声速、密度、孔隙度及海底反射系数剖面,其中反演孔隙度、密度与实测孔隙度、密度相对误差均<10%,结果与实测值基本相符,表明Biot-Stoll模型和Chirp浅剖数据反演海底沉积物物性的方法在琼州海峡海域切实可行,为在该海域采用间接方法来获取海底沉积物物理性质特征提供了新的选择,同时也为海洋工程浅剖数据利用提供了新的思路。

关键词: Chirp浅剖数据, Biot-Stoll模型, 反演, 海底沉积物物性, 琼州海峡

Abstract: The Chirp sub-bottom data can not only characterize the geological structure information of stratum, but also can inverse the physical properties of surface sediments in seabed. Chirp signal is generated by computer with stable energy and good consistency. Formulated-frequency technology is applied to Chirp sub-bottom profiler, and higher frequency gradually attenuates when the signals travel through the sub-bottom sediments. We could study the changes of the physical properties of the sub-bottom sediments by the varieties of the attenuation. This paper uses the chirp data got from the cable route survey of China Southern Power Grid second connecting with Hainan Grid and Biot-Stoll model to inverse the physical properties of surface sediments in seabed of this sea area, and get the inversion velocity, density, porosity of surface sediments. The relative errors of inversion porosity, density are less than 10%, as compared with those of situ detection, which states that the inversion data are basically consistent with the situ detection data. This method can inverse the physical properties of surface sediments on the whole sub-bottom profile continuously, but needs to be optimized to improve the accuracy. This indicates that using chirp data to inverse the physical properties of surface sediments in seabed in Qiongzhou Strait sea area by Biot-Stoll model is feasible, which provides a new choice to get the physical properties of surface sediments indirectly in this sea area, and a new reference of using sub-bottom data in sea engineering survey.

Key words: Chirp Bottom data, Biot-Stoll model, inverse, physical properties of surface sediments in seabed, the Qiongzhou Strait