Abstract:Geosteering of wells requires fast interpretation of geophysical logs which is a nonunique inverse problem. Current work presents a proof-of-concept approach to multimodal probabilistic inversion of logs using a single evaluation of an artificial deep neural network (DNN). A mixture density DNN (MDN) is trained using the "multiple-trajectoryprediction" (MTP) loss functions, which avoids mode collapse typical for traditional MDNs, and allows multi-modal prediction ahead of data. The proposed approach is verifie… Show more
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