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Deep Neural Networks Predicting Oil Movement in a Development Unit
v1v2 (latest)

Deep Neural Networks Predicting Oil Movement in a Development Unit

8 January 2019
Pavel Temirchev
M. Simonov
R. Kostoev
Evgeny Burnaev
Ivan Oseledets
A. Akhmetov
A. Margarit
A. Sitnikov
D. Koroteev
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Deep Neural Networks Predicting Oil Movement in a Development Unit"

6 / 6 papers shown
Feature Qualification by Deep Nets: A Constructive Approach
Feature Qualification by Deep Nets: A Constructive Approach
Feilong Cao
Shao-Bo Lin
MLT
252
0
0
24 Mar 2025
Estimating oil and gas recovery factors via machine learning:
  Database-dependent accuracy and reliability
Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliabilityEngineering applications of artificial intelligence (EAAI), 2022
Alireza Roustazadeh
B. Ghanbarian
M. Shadmand
Vahid Taslimitehrani
L. Lake
119
9
0
22 Oct 2022
End-to-end neural network approach to 3D reservoir simulation and
  adaptation
End-to-end neural network approach to 3D reservoir simulation and adaptation
E. Illarionov
Pavel Temirchev
D. Voloskov
R. Kostoev
M. Simonov
D. Pissarenko
D. Orlov
Dmitri A. Koroteev
OOD
219
27
0
20 Feb 2021
Machine learning for recovery factor estimation of an oil reservoir: a
  tool for de-risking at a hydrocarbon asset evaluation
Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation
I. Makhotin
D. Orlov
D. Koroteev
Evgeny Burnaev
A. Karapetyan
D. Antonenko
447
25
0
07 Oct 2020
Artificial Neural Network Surrogate Modeling of Oil Reservoir: a Case
  Study
Artificial Neural Network Surrogate Modeling of Oil Reservoir: a Case StudyInternational Symposium on Neural Networks (ISNN), 2019
O. Sudakov
D. Koroteev
B. Belozerov
Evgeny Burnaev
166
11
0
20 May 2019
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing
I. Makhotin
D. Koroteev
Evgeny Burnaev
AI4CE
314
32
0
05 Feb 2019
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