Direct Multi‐Modal Inversion of Geophysical Logs Using Deep Learning
Author:
Affiliation:
1. NORCE Norwegian Research Centre Bergen Norway
2. Heriot‐Watt University Edinburgh UK
Funder
Norges Forskningsråd
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Environmental Science (miscellaneous)
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021EA002186
Reference30 articles.
1. Alyaev S.(2022).Supporting Data for: Direct multi‐modal inversion of geophysical logs using deep learning[Dataset].DataverseNO.https://doi.org/10.18710/1F9GYH
2. Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method
3. Alyaev S. &Elsheikh A. H.(2022).A multi‐trajectory‐prediction loss implementation in PyTorch (v1.2) [Software].Zenodo.https://doi.org/10.5281/zenodo.6531534
4. A decision support system for multi-target geosteering
5. Spe/aapg/seg unconventional resources technology conference;Arbus T.,2019
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