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1806.03218
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Data-driven model for the identification of the rock type at a drilling bit
8 June 2018
Nikita Klyuchnikov
Alexey Zaytsev
A. Gruzdev
Georgiy Ovchinnikov
Ksenia Antipova
L. Ismailova
E. Muravleva
Evgeny Burnaev
A. Semenikhin
A. Cherepanov
V. Koryabkin
I. Simon
A. Tsurgan
Fedor V Krasnov
D. Koroteev
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Papers citing
"Data-driven model for the identification of the rock type at a drilling bit"
6 / 6 papers shown
Title
Self-supervised similarity models based on well-logging data
S. Egorov
Narek Gevorgyan
Alexey Zaytsev
SSL
35
5
0
26 Sep 2022
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents
E. Gurina
Nikita Klyuchnikov
Ksenia Antipova
D. Koroteev
FAtt
25
8
0
06 Sep 2022
Hybrid Machine Learning Modeling of Engineering Systems -- A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study
Timur Bikmukhametov
J. Jäschke
AI4CE
26
0
0
18 May 2022
Application of Machine Learning to accidents detection at directional drilling
E. Gurina
Nikita Klyuchnikov
Alexey Zaytsev
Evgenia Romanenkova
Ksenia Antipova
I. Simon
V. Makarov
D. Koroteev
19
48
0
06 Jun 2019
'Zhores' -- Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology
Igor Zacharov
R. Arslanov
Maxim Gunin
D. Stefonishin
Sergey Pavlov
O. Panarin
Anton K. Maliutin
S. Rykovanov
M. Fedorov
AI4CE
VLM
12
190
0
20 Feb 2019
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing
I. Makhotin
D. Koroteev
Evgeny Burnaev
AI4CE
24
26
0
05 Feb 2019
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