Underwater localization system for marine seismic airgun arrays validated through robotics.

IF 2 Q3 ROBOTICS
Ulises Tronco Jurado, Peter Wilson, Philippe Blondel, Andrew Bartin, Greg Walker-Doyle
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引用次数: 0

Abstract

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.

海洋地震气枪阵水下定位系统的机器人验证。
海洋地震勘探依靠地震气枪的精确定位来保证高质量的数据采集。目前最先进的气枪定位系统,如超短基线(USBL)、长基线(LBL)、gps辅助和混合系统,可以提供可靠的定位,但通常成本高、操作复杂或仅限于地面跟踪。为了解决这些限制,本研究提出了一种新颖、经济、强大的水下定位系统,专门用于地震气枪的实时轨迹跟踪。该系统集成了低成本惯性运动单元(IMU)、开源、模块化、低功耗声学调制解调器和深度传感器,采用基于机器人操作系统(ROS)的扩展卡尔曼滤波器(EKF)开发传感器融合和定位算法。该系统的定位精度在0.3-2 m范围内,满足地震测量的公差要求。与USBL + INS和gps辅助系统相比,该系统提供了相当的精度,同时显著降低了部署复杂性和操作成本。与LBL系统不同,它不依赖于预装的海底应答器,增强了对不同作战环境的适应性。此外,它的水下操作能力不依赖于地面GPS,克服了现有系统在深海或复杂声学环境中的局限性。该系统有望通过实现实时定位跟踪,提高海洋地震数据质量,减少海洋地震勘探时间,减轻对海洋生态系统的潜在环境影响。这一创新弥补了海洋地震勘探中精度、可负担性和环境可持续性之间的差距,使其成为将气枪轨迹位置估计整合到地震调查工作流程中的有希望的替代方案,有助于提高全球海洋地震调查的效率和有效性。补充信息:在线版本包含补充资料,下载地址:10.1007/s41315-025-00429-3。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.80
自引率
5.90%
发文量
50
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
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