On a recently published study (https://doi.org/10.1186/s43020-023-00124-3) in the journal Satellite Navigation, introduces a real-time acoustic positioning technique, significantly enhancing the precision of mapping the ocean floor for seismic studies. This cutting-edge strategy surmounts previous barriers in accurately positioning seafloor geophones.
The research introduces a real-time acoustic positioning system that fundamentally transforms the accuracy of seismic exploration on the ocean floor. By integrating advanced techniques such as sequential adjustment and Baarda’s outlier detection, the method refines the process of analyzing acoustic observations. It groups these observations to construct precise intra-group positioning models, subsequently synthesizing these models to enhance overall positioning accuracy. This approach has shown to dramatically improve the precision of seafloor geophone positioning, transitioning from meter-level errors to decimeter-level, and in some cases, achieving centimeter-level accuracy. The validation of this method involved comprehensive simulations along with practical field experiments conducted in the Bohai Sea, which confirmed its effectiveness in eliminating outliers and maximizing the utility of high-quality observations. This enhancement in positioning accuracy directly translates to improved reliability and efficiency in mapping the ocean floor for the exploration of underwater petroleum and natural gas resources.
Jinye Ma, alongside Shouchuan Fang and Jianhu Zhao, emphasized, “Our method significantly improves positioning accuracy, reducing errors from meters to decimeters, and if the sound velocity profile exists, it can achieve centimeter-level positioning precision.”
This method further improves the positioning accuracy of seafloor geophone on the basis of previous studies, provides a new idea for the development of marine navigation and positioning software inChina, and is expected to improve the efficiency and accuracy of ocean bottom seismic exploration.
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References
DOI
Original Source URL
https://doi.org/10.1186/s43020-023-00124-3
Funding information
This research is supported by the National Key R&D Program of China (Grant No.: 2016YFB0501703) and Science and Technology Innovation Project (Grant No.: LSKJ202205102) Funded by Laoshan Laboratory.
About Satellite Navigation
Satellite Navigation (E-ISSN: 2662-1363; ISSN: 2662-9291) is the official journal of Aerospace Information Research Institute, Chinese Academy of Sciences. The aims is to report innovative ideas, new results or progress on the theoretical techniques and applications of satellite navigation. The journal welcomes original articles, reviews and commentaries.