GTApprox: surrogate modeling for industrial design

GTApprox: surrogate modeling for industrial design

5 September 2016

Mikhail Belyaev

Dmitry Vetrov

Dmitry Yarotsky

Papers citing "GTApprox: surrogate modeling for industrial design"

15 / 15 papers shown

Title
From Variability to Stability: Advancing RecSys Benchmarking Practices Valeriy Shevchenko Nikita Belousov Alexey Vasilev Vladimir Zholobov Artyom Sosedka Natalia Semenova Anna Volodkevich Andrey Savchenko Alexey Zaytsev 29 6 0 15 Feb 2024
$Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem$ Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem Viktor Duplyakov A. Morozov D. Popkov E. Shel A. Vainshtein E. Burnaev A. Osiptsov G. Paderin 11 20 0 02 Aug 2021
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 14 21 0 07 Oct 2020
Tensor Completion via Gaussian Process Based Initialization Yermek Kapushev Ivan Oseledets Evgeny Burnaev 16 6 0 11 Dec 2019
$Data-driven model for hydraulic fracturing design optimization: focus on building digital database and production forecast$ Data-driven model for hydraulic fracturing design optimization: focus on building digital database and production forecast A. Morozov D. O. Popkov V. M. Duplyakov R. Mutalova A. Osiptsov A. Vainshtein E. Burnaev E. Shel G. Paderin AI4CE 11 5 0 28 Oct 2019
Rare Failure Prediction via Event Matching for Aerospace Applications E. Burnaev 15 6 0 28 May 2019
A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data E. Kanin A. Osiptsov A. Vainshtein E. Burnaev AI4CE 26 67 0 23 May 2019
Artificial Neural Network Surrogate Modeling of Oil Reservoir: a Case Study O. Sudakov D. Koroteev B. Belozerov E. Burnaev 17 9 0 20 May 2019
Multifidelity Bayesian Optimization for Binomial Output L. Matyushin Alexey Zaytsev O. Alenkin Andrey Ustuzhanin 22 0 0 19 Feb 2019
Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing I. Makhotin D. Koroteev Evgeny Burnaev AI4CE 17 26 0 05 Feb 2019
Deep Neural Networks Predicting Oil Movement in a Development Unit Pavel Temirchev M. Simonov R. Kostoev Evgeny Burnaev Ivan Oseledets A. Akhmetov A. Margarit A. Sitnikov D. Koroteev AI4CE 14 50 0 08 Jan 2019
Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks O. Sudakov Evgeny Burnaev D. Koroteev AI4CE 17 165 0 02 Mar 2018
Forecasting of commercial sales with large scale Gaussian Processes Rodrigo Rivera Evgeny Burnaev 11 22 0 16 Sep 2017
Large Scale Variable Fidelity Surrogate Modeling Evgeny Burnaev Alexey Zaytsev AI4CE 17 29 0 12 Jul 2017
Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions Evgeny Burnaev I. Panin Bruno Sudret 27 37 0 10 May 2017