Full waveform inversion by model extension (FWIME) coupled with a model-space multi-scale approach has the potential to become a robust acoustic-velocity model-building algorithm. It combines the robustness of wave-equation migration velocity analysis (MVA) with the accuracy of full waveform inversion (FWI). It mitigates the presence of local minima within the conventional FWI objective function by creating improved descent-paths towards the optimal solution. Its consistent and concise mathematical formulation paired with an automatized implementation makes it simple to apply and thus more accessible to a broad range of non-expert users. We test it on two numerical examples to show its ability to recover accurate solutions from cycle-skipped data dominated by (1) reflected events on the Marmousi2 model, and (2) refracted events on the North Sea region of the BP 2004 model.

Presentation Date: Tuesday, October 13, 2020

Session Start Time: 8:30 AM

Presentation Time: 8:55 AM

Location: 361F

Presentation Type: Oral

Keywords:
optimization problem, conventional fwi, seg international exposition, artificial intelligence, reservoir characterization, initial model, exploration geophysicist 10, fwime inverted model, model extension, true model
Subjects:
Reservoir Characterization, Seismic processing and interpretation
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2020. Society of Exploration Geophysicists
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