Inversion of river-bottom sediment parameters using mechanically sampled specimens and subbottom profiling data

利用机械取样和浅地层剖面数据反演河底泥沙参数（英文）

The study of river dynamics requires knowledge of physical parameters, such as porosity, permeability, and wave propagation velocity, of river-bottom sediments. To do so, sediment properties are determined on mechanically sampled specimens and from subbottom profiling. However, mechanical sampling introduces disturbances that affect test results, with the exception of grain-size distribution. In this study, we perform inversion of acoustic data using the grain-size distribution of mechanically sampled specimens and the relation between porosity and permeability from the Kozeny-Carman equation as prior information. The wave reflection coefficient of the water-silt interface is extracted from the raw subbottom profile. Based on the effective density fluid model, we combine the Kozeny-Carman equation and the wave reflection coefficient. We use experimental data from two Yellow River reservoirs to obtain the wave velocity and density of multiple sections and their spatial variations, and find that the inversion and testing results are in good agreement.

河流动力学研究需要河底泥沙物性参数(孔隙率、渗透率和波速等)作为依据,机械取样和浅地层剖面探测是获取物性的重要途径。取样时的机械扰动使测试结果产生偏差,仅利用浅地层剖面数据获取河底特性有限,本文将两者结合起来开展反演研究。将取样测试的级配作为先验信息,进而根据Kozeny-Carman公式确定孔隙率和渗透率的关系。从浅地层剖面数据中提取了水-泥沙界面的声波反射系数。基于等效密度流模型,结合Kozeny-Carman公式和声波反射系数,提出了一种表层淤积泥沙参数反演方法。经过黄河库区试验,得到多个断面的密度和波速等参数,并获取泥沙物性参数的空间变化特征。对比发现,取样点的反演结果与测试结果较为一致,证明了本文提出泥沙参数反演方法的有效性。