Ulises Tronco Jurado, Peter Wilson, Philippe Blondel, Andrew Bartin, Greg Walker-Doyle
{"title":"海洋地震气枪阵水下定位系统的机器人验证。","authors":"Ulises Tronco Jurado, Peter Wilson, Philippe Blondel, Andrew Bartin, Greg Walker-Doyle","doi":"10.1007/s41315-025-00429-3","DOIUrl":null,"url":null,"abstract":"<p><p>Marine seismic surveys rely on the precise localization of seismic airguns to ensure high-quality data acquisition. The current state-of-the-art systems for airgun localization, such as Ultra-Short Baseline (USBL), Long Baseline (LBL), and GPS-aided and hybrid systems, provide reliable positioning but are often costly, operationally complex or limited to surface tracking. To address these limitations, this research presents a novel, cost-effective, and robust underwater localization system designed explicitly for real-time trajectory tracking of seismic airguns. The proposed system integrates a low-cost Inertial Motion Unit (IMU), an open-source, modular, and low-power acoustic modem, and a depth sensor, employing an Extended Kalman Filter (EKF) using Robot Operating System (ROS) for the development of the sensor fusion and localization algorithm. The system achieves a position accuracy within 0.3-2 m, meeting the tolerances required for seismic surveys. Compared to USBL + INS and GPS-aided systems, the proposed system provides comparable precision while significantly reducing deployment complexity and operational costs. Unlike LBL systems, it does not rely on pre-installed seabed transponders, enhancing adaptability to different operational environments. Furthermore, its capacity to operate underwater without surface GPS dependency overcomes the limitations of existing systems in deep-sea or complex acoustic environments. The system is expected to enhance marine seismic data quality by enabling real-time positioning tracking, reduce marine seismic exploration times, and mitigate potential environmental impacts on marine ecosystems. This innovation bridges the gap between precision, affordability, and environmental sustainability in marine seismic exploration, making it a promising alternative for integrating trajectory position estimates of airguns into seismic survey workflows, helping to enhance the efficiency and effectiveness of marine seismic surveys worldwide.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41315-025-00429-3.</p>","PeriodicalId":44563,"journal":{"name":"International Journal of Intelligent Robotics and Applications","volume":"9 3","pages":"1255-1267"},"PeriodicalIF":2.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12507950/pdf/","citationCount":"0","resultStr":"{\"title\":\"Underwater localization system for marine seismic airgun arrays validated through robotics.\",\"authors\":\"Ulises Tronco Jurado, Peter Wilson, Philippe Blondel, Andrew Bartin, Greg Walker-Doyle\",\"doi\":\"10.1007/s41315-025-00429-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Marine seismic surveys rely on the precise localization of seismic airguns to ensure high-quality data acquisition. The current state-of-the-art systems for airgun localization, such as Ultra-Short Baseline (USBL), Long Baseline (LBL), and GPS-aided and hybrid systems, provide reliable positioning but are often costly, operationally complex or limited to surface tracking. To address these limitations, this research presents a novel, cost-effective, and robust underwater localization system designed explicitly for real-time trajectory tracking of seismic airguns. The proposed system integrates a low-cost Inertial Motion Unit (IMU), an open-source, modular, and low-power acoustic modem, and a depth sensor, employing an Extended Kalman Filter (EKF) using Robot Operating System (ROS) for the development of the sensor fusion and localization algorithm. The system achieves a position accuracy within 0.3-2 m, meeting the tolerances required for seismic surveys. Compared to USBL + INS and GPS-aided systems, the proposed system provides comparable precision while significantly reducing deployment complexity and operational costs. Unlike LBL systems, it does not rely on pre-installed seabed transponders, enhancing adaptability to different operational environments. Furthermore, its capacity to operate underwater without surface GPS dependency overcomes the limitations of existing systems in deep-sea or complex acoustic environments. The system is expected to enhance marine seismic data quality by enabling real-time positioning tracking, reduce marine seismic exploration times, and mitigate potential environmental impacts on marine ecosystems. This innovation bridges the gap between precision, affordability, and environmental sustainability in marine seismic exploration, making it a promising alternative for integrating trajectory position estimates of airguns into seismic survey workflows, helping to enhance the efficiency and effectiveness of marine seismic surveys worldwide.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41315-025-00429-3.</p>\",\"PeriodicalId\":44563,\"journal\":{\"name\":\"International Journal of Intelligent Robotics and Applications\",\"volume\":\"9 3\",\"pages\":\"1255-1267\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12507950/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Intelligent Robotics and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s41315-025-00429-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Robotics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s41315-025-00429-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/6 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ROBOTICS","Score":null,"Total":0}
Underwater localization system for marine seismic airgun arrays validated through robotics.
Marine seismic surveys rely on the precise localization of seismic airguns to ensure high-quality data acquisition. The current state-of-the-art systems for airgun localization, such as Ultra-Short Baseline (USBL), Long Baseline (LBL), and GPS-aided and hybrid systems, provide reliable positioning but are often costly, operationally complex or limited to surface tracking. To address these limitations, this research presents a novel, cost-effective, and robust underwater localization system designed explicitly for real-time trajectory tracking of seismic airguns. The proposed system integrates a low-cost Inertial Motion Unit (IMU), an open-source, modular, and low-power acoustic modem, and a depth sensor, employing an Extended Kalman Filter (EKF) using Robot Operating System (ROS) for the development of the sensor fusion and localization algorithm. The system achieves a position accuracy within 0.3-2 m, meeting the tolerances required for seismic surveys. Compared to USBL + INS and GPS-aided systems, the proposed system provides comparable precision while significantly reducing deployment complexity and operational costs. Unlike LBL systems, it does not rely on pre-installed seabed transponders, enhancing adaptability to different operational environments. Furthermore, its capacity to operate underwater without surface GPS dependency overcomes the limitations of existing systems in deep-sea or complex acoustic environments. The system is expected to enhance marine seismic data quality by enabling real-time positioning tracking, reduce marine seismic exploration times, and mitigate potential environmental impacts on marine ecosystems. This innovation bridges the gap between precision, affordability, and environmental sustainability in marine seismic exploration, making it a promising alternative for integrating trajectory position estimates of airguns into seismic survey workflows, helping to enhance the efficiency and effectiveness of marine seismic surveys worldwide.
Supplementary information: The online version contains supplementary material available at 10.1007/s41315-025-00429-3.
期刊介绍:
The International Journal of Intelligent Robotics and Applications (IJIRA) fosters the dissemination of new discoveries and novel technologies that advance developments in robotics and their broad applications. This journal provides a publication and communication platform for all robotics topics, from the theoretical fundamentals and technological advances to various applications including manufacturing, space vehicles, biomedical systems and automobiles, data-storage devices, healthcare systems, home appliances, and intelligent highways. IJIRA welcomes contributions from researchers, professionals and industrial practitioners. It publishes original, high-quality and previously unpublished research papers, brief reports, and critical reviews. Specific areas of interest include, but are not limited to:Advanced actuators and sensorsCollective and social robots Computing, communication and controlDesign, modeling and prototypingHuman and robot interactionMachine learning and intelligenceMobile robots and intelligent autonomous systemsMulti-sensor fusion and perceptionPlanning, navigation and localizationRobot intelligence, learning and linguisticsRobotic vision, recognition and reconstructionBio-mechatronics and roboticsCloud and Swarm roboticsCognitive and neuro roboticsExploration and security roboticsHealthcare, medical and assistive roboticsRobotics for intelligent manufacturingService, social and entertainment roboticsSpace and underwater robotsNovel and emerging applications