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2D Acoustic Full Waveform Tomography of Marine Streamer Data - Problems and Data Preprocessing

机译:2D海洋拖车数据的声学全波形断层扫描 - 问题和数据预处理

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In recent years many synthetic studies showed the great resolution potential of full waveform tomography (FWT), nevertheless application to field data is not a common standard yet. This study discusses some of the problems related with the inversion of conventional single sensor marine streamer data in the 2D acoustic approximation. The lack of low frequency information makes the waveform tomography strongly depending on the initial model. In particular, density information should be considered in the inversion process to obtain reliable P-wave velocity models. The directivity of marine airguns and wave propagation effects, that cannot be reproduced by the forward modeling code require a certain amplitude calibration and scaling of amplitude with offset. Swell noise caused by time variant sea surface topography may significantly reduce the field data quality. Therefore, the noise subtraction algorithm that mutes noise and preserves the useful seismic signal must be applied. The effects of the sea surface topography can be reduced by data de-ghosting. However, this procedure may require additional measurements of pressure and particle velocities using dual-sensors.
机译:近年来,许多合成研究表明,全波形断层扫描(FWT)的巨大分辨率潜力,但尚未申请现场数据并非共同标准。本研究讨论了与2D声学近似中传统单个传感器船用媒体数据反转相关的一些问题。根据初始模型,缺少低频信息使波形断层扫描强度。特别地,在反转过程中应考虑密度信息以获得可靠的P波速度模型。海洋气体和波传播效应的方向性,不能由前向建模代码再现,需要具有偏移的一定幅度校准和幅度。时变海表面形貌引起的膨胀噪声可能会显着降低现场数据质量。因此,必须应用静音噪声并保留有用的地震信号的噪声减法算法。通过数据去转移可以减少海面形貌的影响。然而,该过程可能需要使用双传感器的压力和颗粒速度的额外测量。

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