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Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements

7 May 2020

Papers citing "Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements"

6 / 6 papers shown

Physics Embedded Machine Learning for Electromagnetic Data ImagingIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022

Maokun Li

198

26 Jul 2022

Automated machine learning for borehole resistivity measurementsGeophysical Journal International (GJI), 2022

182

20 Jul 2022

Probabilistic model-error assessment of deep learning proxies: an application to real-time inversion of borehole electromagnetic measurementsGeophysical Journal International (GJI), 2022

M. H. Rammay

S. Alyaev

A. Elsheikh

184

25 May 2022

Direct multi-modal inversion of geophysical logs using deep learning

S. Alyaev

A. Elsheikh

AI4CE

399

29 Nov 2021

Design of borehole resistivity measurement acquisition systems using deep learning

M. Shahriari

A. Hazra

David Pardo

12 Jan 2021

Modeling extra-deep electromagnetic logs using a deep neural network

292

18 May 2020