System Analysis of Structured Complex for Oil Wastes Recycling System

Abstract

A new approach to the system analysis of a structured oily waste (OW) recycling complex (RC) is proposed based on the Data Envelopment Analysis method that allows solving problems 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 for OW by sources in the oil and gas industry and by methods of OW recycling. An analysis was made of systemic problems involved in OW processing, which confirm the need to consider OW storage and processing facilities within a single system consisting of two subsystems of disposal and processing. The system-wide properties of the OW RC and the interconnections of their main elements are analyzed and the presence of stable links between the elements of the system is revealed. A methodology was developed for the system analysis and optimization of the OW RC, which consists of 10 consecutive stages and includes the development of databases and of special software, multivariate analysis and optimization, the use of artificial neural networks to speed up calculations, and the development of an information support system for science-based management decision-making. The results of testing the methodology for analyzing a RC consisting of 90 OW storage facilities and 14 processing technologies located within one region are shown. The results of solving problems of optimizing an OW recycling system by 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 storages and improve the environmental situation.