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基于能量衰减系数的弹性波CT反演
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作者 徐复兴 刘海涛 +1 位作者 熊友亮 吴蒙蒙 《长江科学院院报》 CSCD 北大核心 2019年第12期169-172,共4页
为了解决弹性波计算机断层(Computed Tomography,CT)工程速度反演在地下孤石探测时效果较差的问题,借鉴电磁波CT能量衰减方式进行弹性波CT衰减系数反演,以直达波第一个波峰幅值平方作为波形能量值,进行距离校正后,作归一化处理,拟合出... 为了解决弹性波计算机断层(Computed Tomography,CT)工程速度反演在地下孤石探测时效果较差的问题,借鉴电磁波CT能量衰减方式进行弹性波CT衰减系数反演,以直达波第一个波峰幅值平方作为波形能量值,进行距离校正后,作归一化处理,拟合出单炮震源与检波器间扇形区域的介质整体衰减系数。根据拟合相对误差,计算出震源到各检波器间介质直线衰减系数,反演出衰减系数剖面,作为异常判别依据。经过武汉地铁机场线孤石弹性波CT勘察工程实际应用,结果表明:衰减系数反演对于小缺陷的灵敏性高于速度反演;衰减系数反演得到的衰减系数相对极差大于速度反演得到的速度相对极差,更利于异常划分。研究成果可供弹性波CT工程技术人员参考。 展开更多
关键词 弹性波CT 归一化 孤石 速度反演 衰减系数反演
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Acoustic parameters inversion and sediment properties in the Yellow River reservoir 被引量:2
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作者 Li Chang-Zheng Yang Yong +1 位作者 Wang Rui and Yan Xiao-Fei 《Applied Geophysics》 SCIE CSCD 2018年第1期78-90,149,共14页
The physical properties of silt in river reservoirs are important to river dynamics. Unfortunately, traditional techniques yield insufficient data. Based on porous media acoustic theory, we invert the acoustic paramet... The physical properties of silt in river reservoirs are important to river dynamics. Unfortunately, traditional techniques yield insufficient data. Based on porous media acoustic theory, we invert the acoustic parameters for the top river-bottom sediments. An explicit form of the acoustic reflection coefficient at the water-sediment interface is derived based on Biot's theory. The choice of parameters in the Blot model is discussed and the relation between acoustic and geological parameters is studied, including that between the reflection coefficient and porosity and the attenuation coefficient and permeability. The attenuation coefficient of the sound wave in the sediments is obtained by analyzing the shift of the signal frequency. The acoustic reflection coefficient at the water-sediment interface is extracted from the sonar signal. Thus, an inversion method of the physical parameters of the river- bottom surface sediments is proposed. The results of an experiment at the Sanmenxia reservoir suggest that the estimated grain size is close to the actual data. This demonstrates the ability of the proposed method to determine the physical parameters of sediments and estimate the grain size. 展开更多
关键词 alluvial sediments porous media reflection coefficient attenuation coefficient acoustic inversion
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