Parameter Estimation in Anisotropic Media

各向异性介质中的参数估计

• 批准号: 9725427
• 负责人: Mrinal Sen
• 金额: $ 17万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-01-15 至 2001-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9725427&HistoricalAwards=false
• 关键词: Parameter; Estimation; Anisotropic; Media

9725427 Sen This research involves the investigation of anisotropic parameter estimation from observations of anisotropy in crustal and mantle materials. Forward modeling techniques will be used based on the reflectivity method and global optimization methods such as simulate annealing and genetic algorithms for the parameter estimation problem. Prior analytic and numerical investigations reveal that the dependence of model parameters on seismic data for anisotropic media is highly nonlinear and, therefore, a nonlinear, global optimization method is appropriate for this purpose. Questions addressed include the uniqueness of anisotropy parameters, the type of data needed to determine anisotropy parameters, and the importance of inclusion of anisotropy parameters in a given data set. ***

9725427 Sen这项研究涉及从地壳和地幔物质各向异性观测中估计各向异性参数的研究。对于参数估计问题，将使用基于反射率方法的正演模拟技术和全局优化方法，如模拟退火法和遗传算法。以往的分析和数值研究表明，各向异性介质中模型参数对地震数据的依赖是高度非线性的，因此，适合于此目的的是一种非线性的全局优化方法。涉及的问题包括各向异性参数的唯一性、确定各向异性参数所需的数据类型以及在给定数据集中包含各向异性参数的重要性。***