We present a technique for reconstructing production-induced subsurface velocity model changes from time-lapse seismic data using full-waveform inversion (FWI). The technique is based on simultaneously inverting multiple survey vintages with model-difference regularization using the total-variation (TV) seminorm. We compare the new TV-regularized time-lapse FWI with the joint time-lapse FWI from our earlier work and the popular sequential difference method. We tested the proposed method on synthetic datasets that exhibit survey repeatability issues. The results demonstrate advantages of the proposed TV-regularized simultaneous inversion over alternative methods for recovering production-induced velocity changes, achieved by preserving sharp contrasts and reducing oscillatory artifacts.


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