Adaptive traveltime inversion: Mitigating cycle-skipping by minimization of the moment of the matching filter distribution
Type
Conference PaperKAUST Department
Earth Science and Engineering ProgramPhysical Science and Engineering (PSE) Division
Seismic Wave Analysis Group
Date
2019-08-26Permanent link to this record
http://hdl.handle.net/10754/661869
Metadata
Show full item recordAbstract
We present a method to obtain a misfit function for robust waveform inversion. This method, designated as adaptive traveltime inversion (ATI), computes a matching filter that matches the measured data to the predicted one. If the velocity model is accurate, the resulting matching filter reduces to an (approximate) Dirac delta function. Its traveltime shift, which characterizes the defocusing of the matching filter, is computed by minimization of the cross-correlation between a penalty function like $t$ and the matching filter. The ATI misfit function is constructed by the minimization of the least square error of the calculated traveltime shifts. Further analysis shows that the resulting traveltime shifts correspond to the first-order moment, the mean value, of the resulting matching filter distribution. We extend ATI to a more general misfit function formula by computing different order moment of the resulting matching filter distribution. Choosing the penalty function in adaptive waveform inversion (AWI) as $t$, the misfit function of AWI can be interpreted as the second-order moment. We use the Marmousi model to verify the effectiveness of the proposed method.Citation
Sun, B., & Alkhalifah, T. (2019). Adaptive Traveltime Inversion: Mitigating Cycle-Skipping by Minimization of the Moment of the Matching Filter Distribution. 81st EAGE Conference and Exhibition 2019. doi:10.3997/2214-4609.201900637Sponsors
We thank KAUST for supporting this research and members of SWAG for useful discussions.Publisher
EAGE Publications BVConference/Event name
81st EAGE Conference and Exhibition 2019ae974a485f413a2113503eed53cd6c53
10.3997/2214-4609.201900637