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4D Interferometric Traveltime Tomography

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Presentation on theme: "4D Interferometric Traveltime Tomography"— Presentation transcript:

1 4D Interferometric Traveltime Tomography
Yuqing Chen King Abdullah University of Science and Technology 11/12/2015

2 Outlines 1.Theory part Numerical Test Problem (also opportunities)
Further plan

3 Theory

4 Theory Pre Fluid Post Fluid
With time elapse , The velocity of the layer changes…

5 Theory Pre Fluid Post Fluid
With time elapse , The velocity of the layer changes…

6 Advantage Multiples are more sensitivity to velocity change.
Eliminate source and receiver statics

7 Method Instead of Raytracing, using approximate WET (wave path eikonal traveltime inversion) method to implement this method. Source side traveltime table: Receiver side traveltime table:

8 Method Add them together: Subtract observe time:

9 Method Cigar Rabbit ear Snake

10 Method Raytracing AWET

11 Numerical Test

12 Numerical Result

13 Static Test Update first layer Add static in traveltime Residual curve
Similarity

14 First Layer Change Test

15 Second Layer Change Test
Absolute time= Global velocity anomalies Differential time= Local velocity anomalies

16 Second Layer Change Test

17 Both Layer Change

18 (Left) Trace 20 & Residual curve (up)
Both Layer Change Layer 1 (Left) Trace 20 & Residual curve (up)

19 (Left) Trace 20 & Residual curve (up)
Both Layer Change Layer 2 (Left) Trace 20 & Residual curve (up)

20 Problem (or opportunities)

21 Problem 1: Convergence Property
Approximate of Hessian of Multiples Approximate of Hessian of Reflection The difference of between the above two Hessian

22 Problem 2 : Traveltime Prediction
The way we predict reflection and multiples

23 Problem 2 : Traveltime Prediction

24 Problem 2 : Traveltime Prediction
Refraction Refraction-Reflection

25 Problem 2 : Traveltime Prediction
Refraction multiples Refraction multiples

26 Problem 2 : Traveltime Prediction
Gradient of Multiples Refraction of Reflection

27 Problem 2 : Traveltime Prediction
Initial model True model

28 Problem 2 : Traveltime Prediction
Initial model Inversion result

29 Problem 2 : Traveltime Prediction
(Left) Trace 20 & Residual curve (up)

30 Future Plan

31 Further plan Real Data Test: Resonant Multiples Refraction Multiples


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