Development of mathematical models and modeling of chemical engineering systems under uncertainty

Orazbayev, Batyr; Orazbayeva, Kulman; Utenova, Balbupe

doi:10.1134/s0040579514020092

Cited by 28 publications

(20 citation statements)

References 26 publications

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“…Within the realization of this cluster, the implementation of modern technologies for deep processing of hydrocarbon raw materials produced in the region is being implemented with the acquisition of science-intensive petrochemical products. (Serikov and Orazbayeva, 2009;Orazbayeva et al, 2013;Orazbayev et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

Formation of a Petrochemical Cluster and the Creation of an Integrated Petrochemical Complex in Kazakhstan

Kadyrbergenova

Yegemberdiyeva²,

Orazbayeva

2017

CBUP

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The problems associated with the development of the petrochemical industry of the Republic of Kazakhstan are investigated by creating a petrochemical cluster in the western oil and gas region of the country. The issues of a forming petrochemical cluster in Kazakhstan and creating an integrated petrochemical complex in Atyrau region are considered. The essence of the cluster approach as the main factor for increasing the regional competitiveness of the Atyrau region is opened, the expediency and efficiency of the creation of the petrochemical cluster and an integrated petrochemical complex is substantiated. The stages of construction of an integrated petrochemical complex are described, depending on the sources of supply of the used raw materials. An integrated scheme of the petrochemical complex was created and investment petrochemical projects in the Atyrau region were considered. The main groups of factors substantiating the opportunities for the formation of a petrochemical cluster and the achievement of an economic effect in western Kazakhstan are defined.

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Section: Resultsmentioning

confidence: 99%

Formation of a Petrochemical Cluster and the Creation of an Integrated Petrochemical Complex in Kazakhstan

Kadyrbergenova

Yegemberdiyeva²,

Orazbayeva

2017

CBUP

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“…we let, that the criterion is determined on the basis of the output indicators of the object, which are calculated using its mathematical models [38,39]. Suppose that the membership functions of the implementation of fuzzy constraints Then, in general, the task of FMP for sustainable waste management:…”

Section: Tasks Of Fuzzy Programming For Sustainable Waste Management mentioning

confidence: 99%

Sustainable Waste Management Drilling Process in Fuzzy Environment

et al. 2019

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Sustainable management issues of waste during drilling oil wells in marine conditions, the process of disposal of drill cuttings in the conditions of deficiency, and fuzzy initial information using fuzzy inference system are investigated. Based on the conducted system analysis, the main criteria for controlling the process of re-injection of suspended drill cuttings were analyzed and selected. We described the technology of preparation and injection of drill cuttings slurry into the underground horizon. The method of modeling and management of the process of disposal of drilling cuttings in the marine environment in a fuzzy environment with the use of fuzzy inference system, which helps to overcome the problems of scarcity and fuzziness of the original information due to the knowledge and experience of experts are proposed. The scheme and structure of the elements of the fuzzy inference system based on the Mamdani algorithm are given. The implementation of the fuzzy output system procedure was carried out in MatLab using Fuzzy Logic Toolbox. For the purpose of sustainable waste management in the process of oil production of marine fields, waste management tasks are formulated as a fuzzy mathematical programming problem, which takes into account economic and environmental criteria and many production constraints that may be fuzzy. Since the vector of such criteria is characterized by inconsistency, the developed methods for solving the set tasks of sustainable management are based on various tradeoff schemes modified to work in a fuzzy environment. The novelty and originality of the developed methods lies in the fact that, unlike the well-known methods of similar methods for solving fuzzy problems, they are set and solved without conversion to a system of equivalent deterministic problems, with-out losing the main part of the collected fuzzy information. This allows, through the full use of the original fuzzy information, to obtain a more adequate solution to the fuzzy problem of the real problem under production conditions.

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“…Under such conditions, to solve the problem of numerical evaluation of uncertainty of ammonia concentration in CG, it is most advisable to use the statistical method of mathematical modeling, sufficiently tested under practical conditions [10]. However, in this publication, like in the others [11], the method of statistical modeling is used for numerical evaluation of uncertainty of only one parameter. In this case, numerical estimation of uncertainty of ammonia concentration at the evaporator inlet 3 NH a IN influences uncertainty of heat transfer coefficient K. However, information on numerical evaluation of related uncertainties was not found in literature and requires development of a separate algorithm of research in terms of possibility of its application for creation of an adequate mathematical model.…”

Section: Inmentioning

confidence: 99%

Identification of heat exchange process in the evaporators of absorption refrigerating units under conditions of uncertainty

Babichenko

Kravchenko

et al. 2018

EEJET

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Development of mathematical models and modeling of chemical engineering systems under uncertainty

Cited by 28 publications

References 26 publications

Formation of a Petrochemical Cluster and the Creation of an Integrated Petrochemical Complex in Kazakhstan

Formation of a Petrochemical Cluster and the Creation of an Integrated Petrochemical Complex in Kazakhstan

Sustainable Waste Management Drilling Process in Fuzzy Environment

Identification of heat exchange process in the evaporators of absorption refrigerating units under conditions of uncertainty

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