Abstract:In this paper we present a data-driven joint inversion of seismic and well data. Rather than using a theoretical operator, we learn the forward operator using a BP neural network trained by the data set with well data as input and seismic recordings near the well as desired output. Then, we start the inversion by inputing the initial model of each trace into the trained BP network and propagating the output errors backward through the network iteratively to modify the input stratum model. The inversion is veri… Show more
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