Quick depth velocity model for a large area based on deep learning

Abstract

A method for determining a depth velocity model for a seismic survey, that includes obtaining a seismic dataset in a region of interest, obtaining training common depth point (CDP) gathers (205) in a training region within the region of interest, and obtaining a training depth velocity model (203) in the training region. The method further includes constructing a training dataset (209) from the training CDP gathers and the training depth velocity model (203), and training an artificial intelligence (Al) model (211) to receive a CDP gather and output a velocity trace at the location of the CDP gather. The method further includes obtaining, from the seismic dataset, production CDP gathers (207) in a production region and determining, with the Al model (211), production velocity traces (212) in the production region. The method further includes determining an extended depth velocity model (213) over the region of interest based on the set of production velocity traces (212).

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