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Main Energy Fourier Finite Difference Migration

Main Energy Fourier Finite Difference Migration. Jianhua Yu Department of Geology & Geophysics University of Utah. Objective.  Improve computational efficiency of wave-equation extrapolation  Produce high quality image of complex structure. Frequency domain migration.

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Main Energy Fourier Finite Difference Migration

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  1. Main Energy Fourier Finite Difference Migration Jianhua Yu Department of Geology & Geophysics University of Utah

  2. Objective  Improve computational efficiency of wave-equation extrapolation  Produce high quality image of complex structure

  3. Frequency domain migration For each depth: Forward source wavefield extrapolation for each frequency component Backward receiver wavefield extrapolation for each frequency component Applying imaging condition

  4. Main Energy FFD migration For each depth: Forward source wavefield extrapolation for a few frequency components Capture main energy of source wavefield in time domain at current depth Transform back into frequency domain Backward receiver wavefield extrapolation for each frequency component Applying imaging condition

  5. Main Energy FFD migration Strengths: Efficient forward extrapolation Wider angle FFD operator can handle strong velocity contrast and steep dip imaging Less numerical anisotropy in 3D by applying high order implicit FD algorithm

  6. Summary Wider angle 3D FFD is finished on zero-offset SEG/EAGE data Main Energy 3D FFD is being tested on prestack SEG/EAGE data

  7. 2D Impulse Response (Velocity contrast, i.e., V/Vmin = 3.0) X (km) X (km) 0 4 0 4 0 Depth (km) 2.4 Standard wider angle FFD Main energy wider angle FFD

  8. Comparison of 3D Impulse Response X (km) 0 4 0 FD algorithm Depth (km) 2.4 0 Main energy wider angle FFD Depth (km) 2.4

  9. Snapshot of Forward Extrapolation for SEG/EAGE Salt Model X (km) 10 0 0 Standard Method Time(s) 4 0 New Method Time(s) 4 0 Captured Main Energy Time(s) 4

  10. Comparison of FFD and Main Energy FFD Migration X (km) 0 4 0 FFD algorithm Depth (km) 2.4 0 Main energy FFD (computational time saving about 38 %) Depth (km) 2.4

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