A knowledge embedded close-looped deep learning framework for intelligent seismic inversion

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The motivation of this paper is to perform seismic inversion using artificial intelligence models. However, after several attempts, we did not achieve satisfactory results. Analysis reveals that the reason for the unsuccessfulness of our previous attempts is due to two particular problems of intelligent seismic inversion, i.e., under-labelling and uncertainty in the solution. Therefore, in this paper, we propose a deep learning network for knowledge embedding to solve these two problems. We hope that this interesting paper will be helpful to researchers working in the field of intelligent inversion

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