Abstract
The problems of environmental safety and resource conservation in the processing of industrial waste at Russian oil and gas enterprises are becoming more and more significant, especially in the context of current trends focused on decarbonization and sustainable development. The growth of industrial waste is not compensated by the corresponding growth in the volume and quality of processing, since only 10% of oily waste is processed, and the rest is buried or incinerated, which has an additional harmful impact on the environment. The article proposes a new approach to multifactor analysis of resource conservation and environmental safety in the integrated processing of industrial waste from oil and gas enterprises to achieve sustainable development goals. The algorithm developed by the authors, the theoretical basis of which is the method of data envelopment analysis (DEA), determines the sequence of solving interrelated problems of multifactor comparison of objects of the waste processing system by heterogeneous quality criteria: resource value, resource potential, resource saving and environmental safety. These problems are formulated on the basis of the super-efficiency model of the DEA method as a mathematical programming problem. The presented and tested approach to multifactor analysis of resource conservation and environmental safety of the waste treatment system allows: (1) to obtain and analyze relative comparative assessments of waste storage facilities and technologies regarding heterogeneous quality criteria, and (2) forming local and general decision-making strategies that provide sustainable development goals. The proposed approach appears promising for multiple prospective applications in the oil-bearing regions of the Russian Federation, where the growth in the formation of industrial waste has severe and irreversible environmental consequences.
Published Version
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