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Application of the redundant-lifting scheme for ground-roll attenuation in near-surface characterization using full-waveform inversion on P-wave seismic data

机译:应用冗余提升方案在P波地震数据上使用全波形反演近表面表征近梁衰减的应用

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Seismic modelling of the shallow subsurface (within the first few metres) is often challenging when the data are dominated by ground-roll and devoid of reflection. We showed that, even when transmission is the only available phase for analysis, fine-scale and interpretable P-wave velocity (V-P) and attenuation (Q(P)(-1)) models can still be prepared using full-waveform inversion, with data being preconditioned for ground-roll. To prove this idea, we suppressed the ground-roll in two different ways before full-waveform inversion modelling: first, through a bottom mute; second, through a novel wavelet transform-based method known as the redundant-lifting scheme. The applicability of full-waveform inversion is tested through imaging two buried targets. These include a pair of utility water pipes with known diameters of 0.8 m and burial depths of 1.5 m, respectively. The second target is the poorly documented backfill, which was the former location of the pipe(s). The data for full-waveform inversion are acquired along a 2D profile using a static array of 24, 40 Hz vertical component geophones and a buried point source. The results show that (a) the redundant-lifting scheme better suppresses the ground roll, which in turn provides better images of the targets in full-waveform inversion; and (b) theV(P)andQ(P)(-1)models from full-waveform inversion of redundant-lifting scheme data could detect the two targets adequately.
机译:当数据由地面滚动和缺乏反射造成时,浅地下表面(在前几米内)的地震建模通常挑战。我们表明,即使传输是分析的唯一可用阶段,可以使用全波形反转仍可准备甚至可以使用全波形反转来制备微量尺度和可解释的P波速度(VP)和衰减(Q(P)( - 1))模型。使用数据被预处理地滚动。为了证明这个想法,在全波形反转建模之前,我们以两种不同的方式抑制了地面滚动:首先,通过底部静音;其次,通过一种称为冗余提升方案的新型小波变换的方法。通过成像两个埋地目标来测试全波形反演的适用性。其中包括一对公用水管,分别具有0.8米和粗糙深度为1.5米的直径。第二个目标是记录不良的回填,这是管道的前置位置。使用24,40Hz垂直分量地理孔和埋地点源的静态阵列来沿2D轮廓获取全波形反演的数据。结果表明,(a)冗余提升方案更好地抑制地面卷,这又提供了全波形反转中目标的更好图像; (b)来自冗余提升方案数据的全波形反转的V(P)和Q(P)( - 1)模型可以充分检测两个目标。

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