New Numerical Methods for Hamilton-Jacobi and Liouville Equations; Their Applications to Geometrical Optics, Wave Propagation and Travel-time Tomography

研究人员发展了求解Hamilton-Jacobi方程和Liouville方程的新颖而有效的数值方法。这些方程来自地震波传播、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。他以前在计算哈密顿-雅可比方程的粘性解和多值解方面的工作使他发展了更强大和更有效的数值方法来求解这些方程，并将这些新方法结合到地震模拟和反演以及其他可能的应用中。正在考虑的问题包括：三维各向同性和各向异性介质的自适应像格求解器的继续发展；非结构网格上定常的哈密顿-雅可比方程的快速扫描方法；将慢度匹配方法扩展到计算多值解的一般哈密顿-雅可比方程；以及用于几何光学、波传播和透射层析成像的近轴刘维尔方程的应用。这项研究推进了几何光学、波传播和地震走时层析成像的最先进技术。这些领域和应用在美国石油天然气工业、环境科学和医学成像中具有重要的战略价值。例如，最近，美国汽油价格大幅飙升。降低石油生产成本的一个方法是，通过改进石油公司用来寻找好的钻探地点的地震数据处理技术来降低钻探成本。调查员的新方法加快了常规数据处理，为勘探地球物理学家提供了用于开创性应用的新工具，并在地震勘探中节省了大量成本，因为底层计算引擎的速度和可靠性允许对地震测量和钻井决策进行“钻井现场”调整。

The investigator develops novel and efficient numericalmethods for Hamilton-Jacobi and Liouville equations. These equations arisefrom seismic wave propagation, geometrical optics, optimal control,travel-time tomography, medical imaging, computer vision, and materialsciences. His previous works on computing viscosity solutions andmultivalued solutions of Hamilton-Jacobi equations lead him to developmore powerful and efficient numerical methodsfor solving these equations and incorporate these new methodsinto seismic modeling and inversion, as well as other possibleapplications. Problems under consideration include continued developmentof adaptive eikonal solvers for three-dimensional isotropic andanisotropic media; fast sweeping methods for stationary Hamilton-Jacobiequations on unstructured meshes; extending slowness matching methods togeneral Hamilton-Jacobi equations for computing multivalued solutions; andapplications of paraxial Liouville equations for geometrical optics, wavepropagation and transmission tomography.This investigation advances the state-of-the-art in geometrical optics,wave propagation and seismic travel-time tomography.These fields and applications are of great strategic value in the US oiland gas industry, in environmental sciences, and in medical imaging.Recently, for example, the price of gasoline soared dramatically in theUnited States. One way to reduce the cost of production of oil involveslowering drilling costs by advancing the seismic data processingtechniques that oil companies use to find good drilling sites. Theinvestigator's new methods expedite routine data processing, provide newtools for exploration geophysicists to use for ground-breakingapplications, and enable substantial cost savings in seismic explorations,as the speed and reliability of the underlying computational engine allows``rig-site'' adjustments to both seismic survey and drilling decisions.