Adaptive Grid Reverse-Time Migration Yue Wang. Outline Motivation and ObjectiveMotivation and Objective Reverse Time MethodologyReverse Time Methodology.

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Presentation transcript:

Adaptive Grid Reverse-Time Migration Yue Wang

Outline Motivation and ObjectiveMotivation and Objective Reverse Time MethodologyReverse Time Methodology Salt Dome Model TestSalt Dome Model Test Field Data TestField Data Test ConclusionsConclusions

Problem Kirchhoff migration is not optimal for complex velocity model.Kirchhoff migration is not optimal for complex velocity model.

Marmousi Model Distance (km) Depth (km) Low-velocity wedge

Problem Using first arrival time Difficulty in imaging Kirchhoff migration

Problem Reverse-Time Migration RTM) Image complex structure Expensive Using multi-arrival time

Solution Fast RTM Variable grid size Variable time step

Objective Develop fast reverse time migration for land and marine multi-component dataDevelop fast reverse time migration for land and marine multi-component data

Outline Motivation and ObjectiveMotivation and Objective Reverse Time MethodologyReverse Time Methodology Salt Dome Model TestSalt Dome Model Test Field Data TestField Data Test ConclusionsConclusions 

Reverse Time Operator Elastic wave equation A 2-4 staggered-grid FD solver

Variable Grid Size Distance Depth Low velocity High velocity

Variable Grid Size Fine grid (dx dz) Coarse grid (3dx 3dz) z

Variable Grid Size Use wave equation to propagate waves Fine grid Coarse grid

Variable Time Step coarse grid, fine time step coarse grid, coarse time step Distance Depth

Variable Time Step z dt t dt 3 dt dt

Variable Time Step z Fine time step Coarse time step t Use wave equation to propagate waves

Variable Time Step Falk et al. (1998, Geophys. Pros. ): 1. Non-staggered-grid FD 1. Non-staggered-grid FD 2. 2x time step change 2. 2x time step change

Variable Time Step The new method : 1. Staggered-grid FD 1. Staggered-grid FD 2. 3x time step change 2. 3x time step change

Numerical Results Fine time step Time t1 Amplitude Coarse time step Depth Depth Time t2 Amplitude No artificial reflections

Outline Motivation and ObjectiveMotivation and Objective Reverse Time MethodologyReverse Time Methodology Salt Dome Model TestSalt Dome Model Test Field Data TestField Data Test ConclusionsConclusions 

Salt Model Distance (km) Depth (km)

Velocity Profile Velocity (km/s) Depth (km) Velocity (km/s) Depth (km) PS

Velocity Profile Velocity (km/s) Depth (km) Velocity (km/s) PS Fine grid size Fine time step Coarse grid size Coarse time step

Shot Gather Normal Stress VerticalHorizontal Time (s) Distance (km)

Kirchhoff Migration Distance (km) Depth (km)

Kirchhoff Migration Distance (km) Depth (km)

Reverse Time Migration Distance (km) Depth (km)

Distance (km) Depth (km) Reverse Time Migration

Outline Motivation and ObjectiveMotivation and Objective Reverse Time MethodologyReverse Time Methodology Salt Dome Model TestSalt Dome Model Test Field Data TestField Data Test ConclusionsConclusions 

Processed CSG Radial Component Vertical Component Time (s) Trace Number

Common Offset Gather ( Vertical Component) Distance (km) Depth (km) Signal/Noise Ratio High

Common Offset Gather ( Radial Component) Distance (km) Depth (km) Signal/Noise Ratio Low

Kirchhoff Migration ( Vertical Component) Distance (km) Depth (km)

Kirchhoff Migration ( Radial Component) Distance (km) Depth (km)

RTM Distance (km) Depth (km)

Comparison Distance (km) Depth (km) Distance (km) 027 RTMKM

Outline Motivation and ObjectiveMotivation and Objective Reverse Time MethodologyReverse Time Methodology Salt Dome Model TestSalt Dome Model Test Field Data TestField Data Test Conclusions and Future WorkConclusions and Future Work 

Conclusions Variable RTM 10 times faster than standard RTMVariable RTM 10 times faster than standard RTM Migrates Land and marine multi-component dataMigrates Land and marine multi-component data Use primary and multiple reflections for imagingUse primary and multiple reflections for imaging

Acknowledgement We are grateful to the 1999 sponsors of the UTAM consortium for the financial support

Raw CSG Time (s) Radial Component Vertical Component Trace Number

Main Processing Flow Geometry assignment, datuming and so on Trace editing Surface wave attenuation, amplitude balancing P-velocity analysis S-velocity analysis Relative gain compensation, surface velocity estimation KM RTM

Shallow Velocity Distance (km) Depth (km)

Future Work Apply the RTM scheme for data set with more complex structures.Apply the RTM scheme for data set with more complex structures.