A Kirchhoff Approach to Seismic Modeling and Prestack Depth Migration

Abstract

The Kirchhoff integral provides a robust method for implementing seismic modeling and prestack depth migration, which can handle lateral velocity variation and turning waves. With a little extra computation cost, the Kirchoff- type migration can obtain multiple outputs that have the same phase but different amplitudes, compared with that of other migration methods. The ratio of these amplitudes is helpful in computing some quantities such as reflection angle. Here, I develop a seismic modeling and prestack depth migration method based on the Kirchhoff integral, that handles both laterally variant velocity and a dip beyond 90 degrees. The method uses a finite-difference algorithm to calculate travel times and WKBJ amplitudes for the Kirchhoff integral. Compared to ray-tracing algorithms, the finite-difference algorithm gives an efficient implementation and single-valued quantities (first arrivals) on output. In my finite difference algorithm, the upwind scheme is used to calculate travel times, and the Crank-Nicolson scheme is used to calculate amplitudes. Moreover, interpolation is applied to save computation cost. The modeling and migration algorithms here require a smooth velocity function. I develop a velocity- smoothing technique based on damped least-squares to aid in obtaining a successful migration.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1993
Accession Number
ADA271010

Entities

People

  • Zhenyue Liu

Organizations

  • Colorado School of Mines

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Calculus Of Variations
  • Colorado
  • Computations
  • Curvature
  • Differential Equations
  • Equations
  • Geometry
  • Grids
  • Integrals
  • Military Research
  • Optical Lattices
  • Ray Tracing
  • Reflectors
  • Wave Phenomena
  • Wave Propagation
  • Waves

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Wave Propagation and Nonlinear Chaotic Dynamics.