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Sustainable Waste Management Drilling Process in Fuzzy Environment

文献类型： 外文期刊

作者： Orazbayev, Batyr 1 ; Santeyeva, Saya 1 ; Zhumadillayeva, Ainur 1 ; Dyussekeyev, Kanagat 1 ; Agarwal, Ramesh K. 2 ;

作者机构： 1.LN Gumilyov Eurasian Natl Univ, Fac Informat Technol, Nur Sultan 010000, Kazakhstan

2.Washington Univ, St Louis, MO 63101 USA

3.European Univ Cyprus, Sch Sci, CY-1065 Nicosia, Cyprus

4.Natl Agr Informat Technol Engn Res Ctr, Beijing 100097, Peoples R China

5.Beijing Agr Informat Technol Res Ctr, Beijing 100097, Peoples R China

关键词： drill cuttings; sustainable waste management; waste management; utilization; suspension injection system; fuzzy inference system; membership function; economic and environmental criteria; tasks of fuzzy mathematical programming

期刊名称：SUSTAINABILITY （ 影响因子：3.251； 五年影响因子：3.473 ）

ISSN：

年卷期： 2019 年 11 卷 24 期

页码：

收录情况： SCI

摘要： 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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