Preconditioned reflection full waveform inversion for subsalt imaging
- Chao Wang (ION) | Paul Farmer (ION) | Tristram Burley (ION) | Carlos Calderon (ION) | Ian Jones (ION) | John Brittan (ION)
- Document ID
- Society of Exploration Geophysicists
- SEG International Exposition and Annual Meeting, 15-20 September, San Antonio, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Exploration Geophysicists
- Full-waveform inversion, Reflection, Optimization, Subsalt, Wave propagation
- 2 in the last 30 days
- 2 since 2007
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Reflection full waveform inversion (RFWI) has become an effective tool to generate low-wavenumber deep model updates using reflection energy and to improve seismic imaging, especially in subsalt areas. However it is still a challenging inverse problem that suffers from local minima issues and strong artifacts from the tomographic kernel. To tackle the cycles kipping problem, we propose a local traveltime based objective function that focuses on correcting the kinematic errors between the field and synthetic data and derive a new calculation of the gradient from forming an adjoint source that is less likely to cycle-skip, instead of simply minimizing the data residual for a least squares (LS) objective function. The potential benefit is to generate a deeper reliable low-wavenumber update with reflected energy, when missing a good starting background model and low-frequency data. To mitigate the strong artifact from the tomographic kernel from RFWI while satisfying the requirement for Born assumptions, we design a preconditioned optimization scheme which improves the convergence rate with less artifacts and provides a better initial model for applying conventional FWI in the following step. The proposed workflow will eventually generate high-fidelity earth models for seismic imaging and interpretation.
Presentation Date: Monday, September 16, 2019
Session Start Time: 1:50 PM
Presentation Time: 2:40 PM
Presentation Type: Oral
|File Size||3 MB||Number of Pages||5|
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