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Seismoacoustic bottom inversion with AUV towed streamers: A multi-stage approach

机译:使用AUV牵引飘带的地震声底部反转:多级方法

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The WiMUST (Widely scalable Mobile Underwater Sonar Technology) Project envisions using a team of autonomous underwater vehicles towing short acoustic arrays for seismic surveying of seabottom geoacoustic properties. One of the objectives in the project is to tackle the inversion of acoustic data collected with short towed horizontal arrays by means of a Matched-Field Inversion (MFI) technique. While there is great deal of experience in MFI and the so-called focalization applied to horizontal propagation scenarios, in near vertical propagation scenarios, with a source receiver horizontal distance limited to a few tens of meter or less, there is little understanding in terms of feasibility of the acoustic inversion of bottom properties. In particular, the simultaneous inversion of bottom properties (soundspeeds, densities, attenuations) of multiple bottom layers needs to be tackled, since the experimenter has to account for the admissible mismatch of other environmental properties such as water soundspeed and depth, and the potential solution ambiguity inherent to an optimization problem with ten or more unknown parameters. The actual simulation study, carried out with an environmental scenario and geometric set up based on the Peljesac data set, considers a shallow water acoustic propagation scenario with a short array. A sensitivity analysis in MFI provides understanding on the observability of the unknown parameters of interest. A mismatch analysis indicates that watercolumn mismatch (soundspeed and depth) may cause the MFI procedure to break down. Based on the conclusions taken from the sensitive and mismatch analysis, an iterative acoustic inversion concept with feedback of intermediate parameter estimates is developed and tested with simulated data.
机译:该WiMUST(广泛扩展的移动水下声纳技术)项目设想用一支水下机器人为牵引seabottom地声学特性地震勘测声短阵列。之一的项目的目标是解决与短收集声学数据的反转由匹配场反转(MFI)技术来拖曳水平阵列。虽然是在MFI经验和所谓的聚焦大量应用于水平传播的情况,在接近垂直传播情形,以限制在几十米以下,有一点了解的来讲源接收水平距离底部属性的声反转的可行性。特别地,多个底层需要底部性质(soundspeeds,密度衰减)的同时反演需要解决,因为实验者具有以考虑其他环境性能如耐水soundspeed和深度和潜在的解决方案的可容许错配歧义固有的优化问题,十个或更多的未知参数。实际模拟研究中,与环境的场景和几何组进行了基于所述佩列沙茨数据集,考虑具有短阵列的浅水声传播情形。在MFI敏感性分析提供了关于感兴趣的未知参数的可观测的理解。失配分析表明watercolumn失配(soundspeed和深度)可能导致MFI过程打破。基于从敏感和失配分析所采取的结论,与中间参数估计值的反馈的迭代反演声概念被显影,并用模拟数据进行测试。

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