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New numerical methods for Hamilton-Jacobi equations, Gaussian beams, and kinetic inverse problems

Hamilton-Jacobi 方程、高斯梁和动力学反问题的新数值方法

基本信息

批准号：
0810104
负责人：
Jianliang Qian
金额：
$ 17.06万
依托单位：
Michigan State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2008
资助国家：
美国
起止时间：
2008-07-01 至 2012-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0810104&HistoricalAwards=false
关键词：
New numerical methods Hamilton Jacobi

项目摘要

The investigator, with his students and collaborators, develops novel and efficient numerical methods for Hamilton-Jacobi equations, Gaussian beams, and kinetic inverse problems. Hamilton-Jacobi equations arise from seismic wave propagation, geometrical optics, optimal control, traveltime tomography, medical imaging, computer vision, and material sciences. His previous works range from fast sweeping methods for Hamilton-Jacobi equations on triangulated meshes, level-set based Eulerian geometrical optics, to fast numerical methods for traveltime tomography. These successful works lead him to develop more powerful numerical methods for these equations and incorporate these new numerical methods into seismic modeling and inversion, as well as other possible applications.Problems under consideration include developing Legendre-transform based fast sweeping methods for stationary Hamilton-Jacobi equations on triangulated meshes, developing fast algorithms for kinetic inverse problems based on discretizing eikonal equations on triangulated meshes, developing fast algorithms for geodesic X-ray transforms in kinetic inverse problems, developing Eulerian Gaussian beams for high frequency waves, and developing Eulerian Gaussian beam methods for semi-classical quantum mechanics.This investigation advances the state-of-the-art in numerical methods for Hamilton-Jacobi equations, high frequency wave propagation and kinetic inverse problems.These fields and applications are of great strategic value in the US petroleum industry, in the medical imaging, and in material sciences and nanotechnology. The current surge in price for crude oil and other earth resources increasingly demands better imaging techniques in exploration seismology. The increasing amount of data in global and exploration seismology requires more sophisticated mathematical models. The techniques developed as part of this project will provide crucial tools for the development of the next-generation seismic imaging tools that enable substantial cost savings in seismic explorations and expedite routine data processing.

研究者，与他的学生和合作者，开发新的和有效的数值方法的哈密顿-雅可比方程，高斯光束，动力学逆问题。Hamilton-Jacobi方程起源于地震波传播、几何光学、最优控制、走时层析成像、医学成像、计算机视觉和材料科学。他以前的工作范围从快速扫描方法的三角网格，基于水平集的欧拉几何光学，快速数值方法的走时层析成像的Hamilton-Jacobi方程。这些成功的工作使他为这些方程开发了更强大的数值方法，并将这些新的数值方法融入地震建模和反演以及其他可能的应用中。正在考虑的问题包括开发基于Legendre变换的快速扫描方法，用于三角网格上的定常Hamilton-Jacobi方程，开发基于三角网格上程函方程离散化的动力学逆问题的快速算法，开发动力学逆问题中测地X射线变换的快速算法，发展了用于高频波的欧拉高斯光束方法和用于半经典量子力学的欧拉高斯光束方法，发展了用于Hamilton-Jacobi方程、高频波传播和动力学逆问题的数值方法，这些领域和应用在美国石油工业中具有重要的战略价值，在医学成像、材料科学和纳米技术方面。目前原油和其他地球资源价格的飙升对勘探地震学中成像技术的要求越来越高。全球地震学和勘探地震学中数据量的增加需要更复杂的数学模型。作为该项目一部分开发的技术将为开发下一代地震成像工具提供关键工具，从而能够在地震勘探中大幅节省成本并加快日常数据处理。