Direct Multi‐Modal Inversion of Geophysical Logs Using Deep Learning

Direct Multi‐Modal Inversion of Geophysical Logs Using Deep Learning

Abstract Geosteering of wells requires fast interpretation of geophysical logs which is a non‐unique inverse problem. Current work presents a proof‐of‐concept approach to multi‐modal probabilistic inversion of logs using a single evaluation of an artificial deep neural network (DNN). A mixture densi...

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Bibliographic Details
Main Authors: Sergey Alyaev, Ahmed H. Elsheikh
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-09-01
Series:Earth and Space Science
Subjects:
geophysical inversion
multi‐modal inversion
deep neural network
mixture density network
well‐log interpretation
stratigraphic‐based geosteering
Online Access:https://doi.org/10.1029/2021EA002186

Internet

https://doi.org/10.1029/2021EA002186

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