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A new approach to the system analysis of a structured complex of recycling (CR) of oil waste (OW) is proposed based on the Data Envelopment Analysis method, which allows solving the problem of choosing optimal processing technologies according to heterogeneous criteria of resource potential, environmental safety, resource and energy saving, and integrated efficiency. New classifications are presented: OW by sources of formation in the oil and gas industry and methods of recycling OW. An analysis of the systemic problems accompanying the technological processes of processing non-carbon dioxide has been carried out, which confirm the need to consider non-carbon dioxide storage facilities and technologies for their processing within a single system, consisting of two subsystems of disposal and processing. The system-wide properties of the OW CR and the interrelations of its main elements are analyzed, the presence of stable connections between the elements of the system and integrative qualities are revealed. A methodology for system analysis and optimization of the OW CR has been developed, consisting of 10 consecutive stages and including the development of databases and special software, multifactor analysis and optimization, the use of artificial neural networks to increase the speed of calculations, and the development of an information support system for making scientifically based management decisions. The results of testing the methodology for analyzing the CR, consisting of 90 OW storage facilities and 14 processing technologies located within one region, are shown. The results of solving two problems of optimizing the non-carbon dioxide processing system according to the criterion of maximum comprehensive efficiency, taking into account constant and variable scale effects, were obtained. The proposed approach can be extended to other regions of the Russian Federation with a developed oil and gas industry, where there is a need to take urgent measures to eliminate waste storage facilities and improve the environmental situation.
A new approach to the system analysis of a structured complex of recycling (CR) of oil waste (OW) is proposed based on the Data Envelopment Analysis method, which allows solving the problem of choosing optimal processing technologies according to heterogeneous criteria of resource potential, environmental safety, resource and energy saving, and integrated efficiency. New classifications are presented: OW by sources of formation in the oil and gas industry and methods of recycling OW. An analysis of the systemic problems accompanying the technological processes of processing non-carbon dioxide has been carried out, which confirm the need to consider non-carbon dioxide storage facilities and technologies for their processing within a single system, consisting of two subsystems of disposal and processing. The system-wide properties of the OW CR and the interrelations of its main elements are analyzed, the presence of stable connections between the elements of the system and integrative qualities are revealed. A methodology for system analysis and optimization of the OW CR has been developed, consisting of 10 consecutive stages and including the development of databases and special software, multifactor analysis and optimization, the use of artificial neural networks to increase the speed of calculations, and the development of an information support system for making scientifically based management decisions. The results of testing the methodology for analyzing the CR, consisting of 90 OW storage facilities and 14 processing technologies located within one region, are shown. The results of solving two problems of optimizing the non-carbon dioxide processing system according to the criterion of maximum comprehensive efficiency, taking into account constant and variable scale effects, were obtained. The proposed approach can be extended to other regions of the Russian Federation with a developed oil and gas industry, where there is a need to take urgent measures to eliminate waste storage facilities and improve the environmental situation.
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