Zobrazeno 1 - 10 of 13 pro vyhledávání: '"D. S. Perets"'
1
AI-Based Estimation of Hydraulic Fracturing Effect
Autor: D. S. Perets, Dmitry Koroteev, D. M. Orlov, Andrei Erofeev
Publikováno v: SPE Journal. 26:1812-1823
SummaryWe studied the applicability of a gradient-boosting machine-learning (ML) algorithm for forecasting of oil and total liquid production after hydraulic fracturing (HF). A thorough raw data study with data preprocessing algorithms was provided.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::922493393c541636535525cfb2968ac7
https://doi.org/10.2118/205479-pa
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2
Detection of lost circulation in drilling wells employing sensor data using machine learning technique
Autor: Maxim Simonov, Ivan Khodnenko, Sergey V. Ivanov, D. S. Perets
Publikováno v: Procedia Computer Science. 156:300-307
Despite the steady growth of petroleum products, oil production has become more difficult every year. One reason is production drops of «light» oil, increasing the water influx. This process consists of the entry of alien (external from another oil
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d1f35a98992280dc43eff77ffc641b18
https://doi.org/10.1016/j.procs.2019.08.206
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4
Tool for Operational Well Stock Management and Forecasting
Autor: Ivan Aleksandrovich Zhdanov, Anar R. Sharifov, Evgenii Valerievich Belonogov, A. S. Margarit, D. S. Perets
Publikováno v: Day 2 Tue, October 27, 2020.
The purpose of the article is describing a tool for analysis and waterflooding management of large fields with a long development history. The developed tool contains a physical and mathematical model of the reservoir, which is a self-consistent solu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::05ddc1684f1c0df7610c0364d6f3af98
https://doi.org/10.2118/201927-ms
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9
EEG pattern decoding of rhythmic individual finger imaginary movements of one hand
Autor: N. V. Shemyakina, J. G. Khomenko, A. V. Koval, Lev A. Stankevich, Zh. V. Nagornova, Konstantin M. Sonkin, D. S. Perets
Publikováno v: Human Physiology. 42:32-42
The results of four-class classification of the motor imagery EEG patterns corresponding to the right hand finger movements (little finger, thumb, index and middle fingers) of eight healthy subjects are presented in this study. The motor imagery of i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::669e09c59409a0e08d3dd9bc05846173
https://doi.org/10.1134/s0362119716010175
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