An AUV Mounted Vector-Sensor for Seismic Surveying

P. Felisberto, P. Santos, F. Zabel, S. Jesus, L. Sebastião, A. Pascoal
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引用次数: 1

Abstract

The innovative usage of robotic vehicles for seismic surveying where, in sharp contrast to classical solutions, acoustic sources and streamers are carried by Autonomous Surface and Underwater Vehicles (ASVs & AUVs), respectively poses significant scientific and technical challenges. Among these, is the requirement of reducing the streamers length to improve the maneuverability and endurance of the towing vehicles without compromising the resolution of bottom images. A possible approach to tackle this challenge is to use vector sensors (VS) that are both compact and have high spatial discrimination performance. Such a sensing device - known as the Dual Accelerometer Vector Sensor (DAVS) - was designed, developed and tested in the framework of the WiMUST project. This work describes the experimental setup adopted and analyzes the data acquired during engineering trials carried out at the Lisbon Oceanarium marina, in Portugal, with a sparker mounted on an ASV and a DAVS mounted on a companion AUV. The Oceanarium marina is a very shallow site where the direct, surface and bottom reflected arrivals overlap in time. The results show that DAVS data can be used to attenuate noise and undesired surface reflections, and separate bottom and surface arrivals. Therefore, they suggest that a few VS can achieve a performance similar to that of longer hydrophone streamers and be advantageous in challenging survey areas where the traditional seismic setup can not be adopted.
用于地震测量的水下航行器矢量传感器
与传统的解决方案形成鲜明对比的是,在地震测量中,机器人车辆的创新应用分别由自主水面和水下航行器(asv和auv)携带声源和拖缆,这给科学和技术带来了重大挑战。其中,要求在不影响底部图像分辨率的前提下,减小拖缆长度以提高拖曳车辆的机动性和耐久性。解决这一挑战的一种可能方法是使用既紧凑又具有高空间识别性能的矢量传感器(VS)。这种传感装置——被称为双加速度计矢量传感器(DAVS)——是在WiMUST项目的框架内设计、开发和测试的。这项工作描述了采用的实验装置,并分析了在葡萄牙里斯本海洋馆码头进行的工程试验中获得的数据,在ASV上安装了火花器,在同伴AUV上安装了DAVS。海洋馆码头是一个非常浅的场地,直接,表面和底部反射到达的时间重叠。结果表明,利用DAVS数据可以有效地衰减噪声和非期望的地表反射,并将底波和地表波分离。因此,他们认为,一些VS可以达到与较长的水听器拖缆相似的性能,并且在传统地震装置无法采用的具有挑战性的调查区域具有优势。
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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