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Sustainable Waste Management Drilling Process in Fuzzy Environment

Author

Listed:
  • Batyr Orazbayеv

    (Faculty of Information Technologies, L.N.Gumilyov Eurasian National University, Nur-Sultan 010000, Kazakhstan)

  • Saya Santeyeva

    (Faculty of Information Technologies, L.N.Gumilyov Eurasian National University, Nur-Sultan 010000, Kazakhstan)

  • Ainur Zhumadillayeva

    (Faculty of Information Technologies, L.N.Gumilyov Eurasian National University, Nur-Sultan 010000, Kazakhstan)

  • Kanagat Dyussekeyev

    (Faculty of Information Technologies, L.N.Gumilyov Eurasian National University, Nur-Sultan 010000, Kazakhstan)

  • Ramesh K. Agarwal

    (Washington University in St. Louis, St. Louis, MO 63101, USA)

  • Xiao-Guang Yue

    (School of Sciences, European University Cyprus, Nicosia 1065, Cyprus)

  • Jiangchuan Fan

    (National Agricultural Information Technology Engineering Research Center, Beijing 100097, China
    Beijing Agricultural Information Technology Research Center, Beijing 100097, China)

Abstract

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.

Suggested Citation

  • Batyr Orazbayеv & Saya Santeyeva & Ainur Zhumadillayeva & Kanagat Dyussekeyev & Ramesh K. Agarwal & Xiao-Guang Yue & Jiangchuan Fan, 2019. "Sustainable Waste Management Drilling Process in Fuzzy Environment," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:6995-:d:295386
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    References listed on IDEAS

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    5. Ali Al-Hemoud & Ali Al-Dousari & Raafat Misak & Mane Al-Sudairawi & Adil Naseeb & Hassan Al-Dashti & Noor Al-Dousari, 2019. "Economic Impact and Risk Assessment of Sand and Dust Storms (SDS) on the Oil and Gas Industry in Kuwait," Sustainability, MDPI, vol. 11(1), pages 1-19, January.
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