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利用 GNSS/声纳技术实现浅水多海洋底地震仪的精确定位。

Accurate Multiple Ocean Bottom Seismometer Positioning in Shallow Water Using GNSS/Acoustic Technique.

机构信息

School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China.

Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China.

出版信息

Sensors (Basel). 2019 Mar 21;19(6):1406. doi: 10.3390/s19061406.

Abstract

The Global Navigation Satellite System combined with acoustic technique has achieved great economic benefits in positioning of ocean bottom seismometers, with hundreds of underwater transponders attached to seismometers typically being deployed during oil exploration. The previous single transponder positioning method ignored the similar underwater environments between the transponders. Due to the refraction effect of sound, the technique usually showed poor positioning accuracy in shallow water when the incidence angles are large. In this paper, the effect of sound ray bending is analyzed based on the sound ray tracing method in shallow water, and a new piecewise incidence angle model is proposed to improve the positioning accuracy of multiple objects in order to estimate the sound ray bending correction. The parameters of the new model are divided into groups and estimated by sequential least squares method, together with all of the transponders. The observability analysis is discussed in simulation and testing experiments in the South China Sea. The results show that the newly proposed method is able to make full use of the acoustic observation data of hundreds of transponders to accurately estimate the SRB correction, which could also significantly improve the positioning accuracy of multiple transponders.

摘要

全球导航卫星系统与声学技术相结合,在海底地震仪的定位方面取得了巨大的经济效益,在石油勘探过程中,通常会在地震仪上安装数百个水下应答器。以前的单应答器定位方法忽略了应答器之间相似的水下环境。由于声的折射效应,该技术在入射角较大的浅水中通常表现出较差的定位精度。本文基于浅水声线轨迹法分析了声线弯曲的影响,并提出了一种新的分段入射角模型,以提高多个目标的定位精度,从而估计声线弯曲修正量。新模型的参数分为几组,并通过序贯最小二乘法与所有应答器一起进行估计。在南海的仿真和测试实验中讨论了可观测性分析。结果表明,新方法能够充分利用数百个应答器的声学观测数据,准确估计 SRB 修正量,从而显著提高多个应答器的定位精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9fe/6471665/e70807dc7ad2/sensors-19-01406-g001.jpg

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