Automated Travel Time Tomography Using Early-arrival Gaussian Packets
J. Tang, A. Lau, M. Woodward, C. Peng and A. Gonzalez
Event name: 76th EAGE Conference and Exhibition 2014
Session: Anisotropic Parameter Estimation - Theory
Publication date: 16 June 2014
Info: Extended abstract, PDF ( 585.11Kb )
Price: € 20
We present a newly developed method of velocity inversion that does not require explicit picking of either common image gathers or first breaks. Seismic data are first decomposed into Gaussian packets. The early-arrival packets are selected and used as input for an anisotropic traveltime tomography solver. Using information contained in the packets, we can correctly model head waves, and diving waves. The workflow is fully automated and can be used for in a batch processing environment with minimum human intervention. We demonstrate the method with two synthetic examples and one real-data example. In the synthetic examples, we are able to use super-long offset data and reduce traveltime residuals from 400ms to 5ms or less in three iterations. In the real-data example, we achieved an accurate velocity model that yields both an improved image and flatter common-image gathers. This method can also be combined with traditional post-migration tomography.