We present a joint inversion approach based on the structural similarity constraint between the resistivity and the seismic elastic properties (P-wave velocity, S-wave velocity and mass density) for reservoir exploration applications. In this algorithm, the electromagnetic data and the seismic (elastic) full-waveform data in the frequency domain are jointly inverted using a cross-gradient regularization function that enforces the structural similarity between the resistivity and the seismic parameters. We employ the regularized Gauss-Newton method as the optimization algorithm. In this joint inversion algorithm, the regularization parameters are automatically determined by the multiplicative regularization technique, which makes this algorithm very robust even without any a priori information on the noise level. The numerical examples show that this joint inversion approach effectively improves the inversion results in comparison with those obtained by means of the separate inversion approaches.


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