首页|Research on a TOPSIS energy efficiency evaluation system for crude oil gathering and transportation systems based on a GA-BP neural network
Research on a TOPSIS energy efficiency evaluation system for crude oil gathering and transportation systems based on a GA-BP neural network
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NETL
NSTL
万方数据
维普
As the main link of ground engineering,crude oil gathering and transportation systems require huge energy consumption and complex structures.It is necessary to establish an energy efficiency evaluation system for crude oil gathering and transportation systems and identify the energy efficiency gaps.In this paper,the energy efficiency evaluation system of the crude oil gathering and transportation system in an oilfield in western China is established.Combined with the big data analysis method,the GA-BP neural network is used to establish the energy efficiency index prediction model for crude oil gathering and transportation systems.The comprehensive energy consumption,gas consumption,power consumption,energy utilization rate,heat utilization rate,and power utilization rate of crude oil gathering and transportation systems are predicted.Considering the efficiency and unit consumption index of the crude oil gathering and transportation system,the energy efficiency evaluation system of the crude oil gath-ering and transportation system is established based on a game theory combined weighting method and TOPSIS evaluation method,and the subjective weight is determined by the triangular fuzzy analytic hierarchy process.The entropy weight method determines the objective weight,and the combined weight of game theory combines subjectivity with objectivity to comprehensively evaluate the comprehensive energy efficiency of crude oil gathering and transportation systems and their subsystems.Finally,the weak links in energy utilization are identified,and energy conservation and consumption reduction are improved.The above research provides technical support for the green,efficient and intelligent development of crude oil gathering and transportation systems.
Crude oil gathering and transportation systemGA-BP neural networkEnergy efficiency evaluationTOPSIS evaluation methodEnergy saving and consumption reduction
Xue-Qiang Zhang、Qing-Lin Cheng、Wei Sun、Yi Zhao、Zhi-Min Li
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Key Lab of Ministry of Education for Enhancing the Oil and Gas Recovery Ratio,Northeast Petroleum University,Daqing 163318,Heilongjiang China
China Petroleum Pipeline Material and Equipment Co.,Ltd,Langfang 065000,Hebei China
Research Institute of Petroleum Engineering and Technology,Sinopec Northwest Oilfield Company,Urumqi,830011,Xinjiang China
NETL
NSTL
万方数据
维普
