摘要
海底沉积物的物理参数是海洋资源勘探开发、工程施工的重要参数。基于Gassmann理论,采用改进遗传算法,以海底沉积物实测纵波速度矩阵与预测纵波速度矩阵差的2范数作为目标函数,建立了由海底沉积物纵波声速反演海底沉积物密度、孔隙度和泊松比的反演方法。经过模型数据与实际资料应用,检验了方法的正确性。该方法通过高维数学反演方法,结合多相介质模型,提出了利用地震速度分析提取的速度资料,反演海底孔隙度、密度和泊松比的反演方法,可为海底工程、海底资源勘查提供技术支撑。
The physical parameters of seabed sediments are important for the exploration and development of marine resources and the construction of the project. The inversion method of density,porosity and Poisson's ratio of seafloor sediment using compression wave velocity data based on Gassmann theory and improved genetic algorithm is established. 2 norm of the difference between measured P-wave velocity matrix and prediction of P-wave velocity matrix were used as the objective function. The correctness of the method is tested through the application of the model data and the practical data. This method combined multi-phase media theory and high-dimensional inversion method. The porosity,density and Poisson ratio can be inversed based on this method using velocity data obtained by velocity analysis. This method can provide technical support for submarine engineering and seabed resource exploration.
出处
《科学技术与工程》
北大核心
2018年第6期223-228,共6页
Science Technology and Engineering
基金
国家自然科学基金(41764006
41364004
41104073
41504095
41304097
41664006)
国家高技术研究发展计划(2012AA09A404)
江西省自然科学基金(2010GQS0002)
国家留学基金资助
关键词
海底沉积物
声学特性
遗传算法
反演
sea sediment
acoustic characteristic
genetic algorithm
inversion
