Open Access
| Issue |
E3S Web Conf.
Volume 498, 2024
III International Conference on Actual Problems of the Energy Complex: Mining, Production, Transmission, Processing and Environmental Protection (ICAPE2024)
|
|
|---|---|---|
| Article Number | 03016 | |
| Number of page(s) | 8 | |
| Section | General Earth Sciences | |
| DOI | https://doi.org/10.1051/e3sconf/202449803016 | |
| Published online | 06 March 2024 | |
- G. Plancque, D. You, E. Blanchard, V. Mertens, C. Lamouroux, Role of chemistry in the phenomena occurring in nuclear power plants circuits, in Proceedings of the International Congress on Advances in Nuclear power Plants, ICAPP, 2-5 May 2011, Nice, France (2011) [Google Scholar]
- A. Davtyan, A. Rodin, I. Muchnik and A. Romashkin, Oil Production Forecast Models Based on Sliding Window Regression, Journal of Petroleum Science and Engineering, 195, 107916 (2020) https://doi.org/10.1016Zj.petrol.2020.107916 [CrossRef] [Google Scholar]
- S.N. Zakirov, Features of the development of hydrocarbon fields with low-permeability reservoirs. Current problems of the state and development of the oil and gas complex of Russia: VIII scientific and technical. conf., Moscow, 65–66 (2017) [Google Scholar]
- Yu. P. Zheltov, Development of oil fields (Moscow, Nedra, 2017), pp. 365 [Google Scholar]
- N. Shah and P. Mishra, Oil production optimization: a mathematical model. J Petrol Explor Prod Technol, 3, 37–42 (2013). https:ZZdoi.orgZ10.1007Zs13202-012-0040-z [CrossRef] [Google Scholar]
- B. Orazbayev, Y. Ospanov, K. Orazbayeva, T. Gancarzyk and A. Shaikhanova, Control of Fuzzy Technological Objects Based on Mathematical Model. 2016 16-th International Conference on Control, Automation and Systems (ICCAS 2016) in HICO, Gyengju, Korea. 1487–1493 (2016) https:ZZdoi.org/10.1109ZICCAS.2016.7832501 [Google Scholar]
- B. Orazbayev, I. Issa, S. Iskakova and L. Kurmangaziyeva, Application of mathematical modelling methods in oil production management. Naukovyi Visnyk Natsio-nalnoho Hirnychoho Universytetu, 4, 112–116 (2022) https:ZZdoi.orgZ10.33271ZnvnguZ2022-4Z112 [CrossRef] [Google Scholar]
- N. Shah and P. Mishra, Oil production optimization: a mathematical model. J Petrol Explor Prod Technol, 3, 37–42 (2013) https:ZZdoi.orgZ10.1007Zs13202-012-0040-z [CrossRef] [Google Scholar]
- S.M. Durkin, A.I. Khasanov, The development of hard-to-recover reserves is the main task of the future. News of the Komi Scientific Center of the Ural Branch of the Academy of Sciences, 1(25), 74–79 (2016) [Google Scholar]
- E. Lainez-Cerón, N. Ramírez-Corona, A. López-Malo and A. Franco-Vega, An Overview of Mathematical Modeling for Conventional and Intensified Processes for Extracting Essential Oils. Chemical Engineering and Processing - Process Intensification, 178, 109032, (2022) https:ZZdoi.orgZ10.1016Zj.cep.2022.109032 [CrossRef] [Google Scholar]
- B.B. Orazbayev, Y.A. Ospanov, K.N. Orazbayeva and B.A. Serimbetov, Multicriteria optimization in control of a chemical-technological system for production of benzene with fuzzy information, Bulletin of the Tomsk Polytech. University. Geo Assets Eng., 330, 7, 182–194 https:ZZdoi.orgZ10.18799Z24131830Z2019Z7Z2194 [CrossRef] [Google Scholar]
- M. Henrie, Ph. Carpenter, R. E. Nicholas. Chapter 4 - Real-Time Transient Model-Based Leak Detection, (Gulf Professional Publishing, 57–89. 2018) https:ZZdoi.orgZ10.1016ZB978-0-12-802240-5.00004-2 [Google Scholar]
- A.V. Spielmann and N.Y. Natchuk, Modeling of fractured reservoirs using techniques of the French Petroleum Institute (IFP). Drilling and Oil, 5, 22–23 (2022) [Google Scholar]
- K. Akishev, P. Bykov, Zh. Shoshay, A. Tulegulov, D. Yergaliyev, Mathematical formulation and the problem solution of clustering recipes of concrete mixtures using technogenic waste and slags of metallurgical enterprises. Metallurjia, 61(1), 213–216 (2022) [Google Scholar]
- B. Orazbayev, A. Zhumadillayeva, K. Orazbayeva, L. Kurmangaziyeva, K. Dyussekeyev and S. Iskakova. Methods for Developing Models in a Fuzzy Environment of Reactor and Hydrotreating Furnace of a Catalytic Reforming Unit. Applied Sciences, 11. 18, 8317, 1–22 (2021) https://doi.org/10.3390/app11188317 [Google Scholar]
- B.B. Orazbayev, K.N. Orazbayeva, L.T. Kurmangaziyeva and V.E. Makhatova, Multicriteria optimisation problems for chemical engineering systems and algorithms for their solution based on fuzzy mathematical methods, EXCLI Journal, 14, 984–998 (2015) [PubMed] [Google Scholar]
- D. Dubois, The role of fuzzy sets indecision sciences: Old techniques and new directions. Fuzzy Sets and Systems, 184, 3–17 (2018) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.