Designing a Fuzzy Network Model to Evaluate the Efficiency of Oil and Gas Production Centers in the Country Based on Undesirable Outputs
محورهای موضوعی : Operation Research
مهراب حسنوند
1
,
Mohammad Taleghani
2
,
Behrouz Fathi Vajargah
3
1 - روه مدیریت صنعتی(تولید و عملیات) ، واحد رشت، دانشگاه آزاد اسلامی ،رشت،ایران
2 - دانشیار گروه مدیریت صنعتی و عضو هیأت علمی دانشگاه آزاد اسلامی واحد رشت
3 - Department of statistics, guilan university
کلید واژه: Efficiency evaluation, network data envelopment analysis, undesirable outputs, weak disposability, oil and gas exploitation centers.,
چکیده مقاله :
Abstract
Exploitation centers hold a critical role not only within the oil and gas sector but also across various industries, constituting one of the paramount export factors in generating national revenue. The extracted oil and gas are indispensable to numerous industrial sectors and end consumers. Nevertheless, heavy crude oil exploitation and refining operations have undergone substantial transformations in response to product changes aimed at meeting market demand and adhering to environmental regulations.
The objective of this paper is to introduce a fuzzy network model designed to assess the efficiency of the country's oil and gas exploitation centers, taking into account undesirable outputs and weak disposability, specifically within the oil exploitation centers of Khuzestan province.
In this study, network data envelopment analysis was utilized to evaluate the efficiency of the centers, identifying toxic gases such as CO2 and SO2 as undesirable outputs at each stage.
The results of the data analysis of the nine centers indicated that none of the units achieved an efficiency score of one. The primary reasons for this inefficiency were attributed to the use of outdated equipment due to sanctions, as well as the failure to utilize liquefied and natural gases in place of diesel and gasoline in the machinery employed for exploiting and refining crude oil.
Finally, the model was extended to the oil exploitation centers of Khuzestan province as a case study, and its functionality was validated. The results and outputs of the model analysis demonstrated its capability to effectively evaluate the efficiency of current units. Based on these results, the use of renewable energy and the replacement of appropriate filters in the equipment were suggested.
Abstract
Exploitation centers hold a critical role not only within the oil and gas sector but also across various industries, constituting one of the paramount export factors in generating national revenue. The extracted oil and gas are indispensable to numerous industrial sectors and end consumers. Nevertheless, heavy crude oil exploitation and refining operations have undergone substantial transformations in response to product changes aimed at meeting market demand and adhering to environmental regulations.
The objective of this paper is to introduce a fuzzy network model designed to assess the efficiency of the country's oil and gas exploitation centers, taking into account undesirable outputs and weak disposability, specifically within the oil exploitation centers of Khuzestan province.
In this study, network data envelopment analysis was utilized to evaluate the efficiency of the centers, identifying toxic gases such as CO2 and SO2 as undesirable outputs at each stage.
The results of the data analysis of the nine centers indicated that none of the units achieved an efficiency score of one. The primary reasons for this inefficiency were attributed to the use of outdated equipment due to sanctions, as well as the failure to utilize liquefied and natural gases in place of diesel and gasoline in the machinery employed for exploiting and refining crude oil.
Finally, the model was extended to the oil exploitation centers of Khuzestan province as a case study, and its functionality was validated. The results and outputs of the model analysis demonstrated its capability to effectively evaluate the efficiency of current units. Based on these results, the use of renewable energy and the replacement of appropriate filters in the equipment were suggested.
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