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Error Control and Loss Functions for the Deep Learning Inversion of
  Borehole Resistivity Measurements
v1v2v3 (latest)

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

7 May 2020
M. Shahriari
David Pardo
J. A. Rivera
C. Torres-Verdín
A. Picón
Javier Del Ser
S. Ossandón
V. Calo
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
Physics Embedded Machine Learning for Electromagnetic Data Imaging
Physics Embedded Machine Learning for Electromagnetic Data Imaging
Rui Guo
Tianyao Huang
Maokun Li
Hai-Feng Zhang
Yonina C. Eldar
MedImAI4CE
56
41
0
26 Jul 2022
Automated machine learning for borehole resistivity measurements
Automated machine learning for borehole resistivity measurements
M. Shahriari
David Pardo
S. Kargaran
T. Teijeiro
AI4CE
43
3
0
20 Jul 2022
Direct multi-modal inversion of geophysical logs using deep learning
Direct multi-modal inversion of geophysical logs using deep learning
S. Alyaev
A. Elsheikh
AI4CE
52
10
0
29 Nov 2021
Modeling extra-deep electromagnetic logs using a deep neural network
Modeling extra-deep electromagnetic logs using a deep neural network
S. Alyaev
M. Shahriari
David Pardo
Ángel J. Omella
D. Larsen
N. Jahani
E. Suter
39
21
0
18 May 2020
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