An Energy Efficiency Evaluation Model for Oil–Gas Gathering and Transportation Systems Based on Combined Weighting and Grey Relational Analysis

作者：Yao Shi, Yingting Sun, Yonghu Zhang, Maerpuha Mahan, Yingli Chen, Ming Xu, Keyu Wu, Bingyuan Hong, Shangfei Song · 发表于：Processes · 年份：2025 · DOI：10.3390/pr13071967 · 被引用次数：3 · 研究领域：Grey System Theory Applications

With the acceleration of the oilfield development process during the high water content period, the contradiction between the increase in energy consumption and the decrease in the energy efficiency of the gathering and transportation system has become increasingly obvious. This paper develops a grey relational analysis model using a combination of AHP and EWM. Based on the characteristics of light oil production, a four-level evaluation indicator system is developed. Based on game theory, AHP can provide subjective weights, the EWM can provide objective weights, and subjective and objective combinations are used for a more reasonable assignment. Concurrently, the 0.05 distinguishing coefficient and the ideal reference values are selected as the GRA reference sequence to evaluate the energy consumption of the gathering and transportation system as a whole and each subsystem. The analysis of a light oil block indicates significant room for improvement in the energy efficiency correlation across the system. Taking the central processing station as an example, the grey relational degree of electricity consumption per unit of injected water is measured at 0.12, marking it as the weakest link in the system. This study supports efficiency enhancement by identifying energy consumption bottlenecks within the system.