论文部分内容阅读
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。
River flow dynamics require sediment physical parameters (porosity, permeability and wave velocity, etc.) as a basis, mechanical sampling and shallow formation profile detection is an important way to obtain physical properties. The mechanical perturbation during sampling makes the test results deviate. Only by using the data of shallow stratum profile to obtain the characteristics of river bottom is limited, this paper combines the two to carry out inversion research. The grade of the sampling test is used as a priori information, and then the relationship between porosity and permeability is determined according to Kozeny-Carman formula. The acoustic reflection coefficient of the water-silt interface was extracted from shallow ground profile data. Based on the equivalent density flow model and the Kozeny-Carman formula and acoustic reflection coefficient, a method of inversion of surface sediment sediment parameters was proposed. Through the Yellow River reservoir test, the parameters of density and wave velocity of multiple sections were obtained, and the spatial variation characteristics of sediment physical parameters were obtained. The comparison shows that the inversion results of the sampling points are in good agreement with the test results, which proves the validity of the inversion method of sediment parameters proposed in this paper.