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Matching Pursuit Full Waveform InversionNormal access

Authors: K. Jiao, D. Sun, X. Cheng and D. Vigh
Event name: 77th EAGE Conference and Exhibition 2015
Session: Full Waveform Inversion III
Publication date: 01 June 2015
DOI: 10.3997/2214-4609.201412911
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 1.69Mb )
Price: € 20

One fundamental challenge of FWI is the local minimum issue caused by the cycle skipping between the predicted and acquired data. In order to overcome this challenge and achieve a successful inversion, a good initial model becomes a must-have ingredient of FWI. In another word, the background model has to be accurate enough to start FWI. Our proposed matching pursuit FWI (MPFWI) is designed to build the relation between travel time shift and model error in a different and novel way, so that FWI can be used to correct the erroneous background model, and therefore mitigate cycle skipping issues and improve the robustness of FWI with inaccurate initial models.

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