Energy Consumption Analysis And Optimization For The First Binnan Station

The oil and gas combined stations are the most critical production unit in the oil and gas gathering and transportation system.It contains a large number of production equipment,and undertakes many tasks like,oil,gas and water separation,crude oil dehydration and stabilization,and external transportation.It is one of the major energy-consuming sections in the oil field.The relationships between influencing factors of the energy consumption are complex,such as coupling,non-linearity and non-stationarity.This dissertation takes the first Binnan station as the research object,and analyzes the key influencing factors of energy consumption under existing production technology.Moreover,use the domestic and foreign evaluation methods in engineering systems to evaluate and optimize the energy consumption of the oil and gas combine stations.The principal component analysis method was used to analysis the critical factors.Found the crude oil temperatures at the outlet of the first and second furnaces had the greater impact on the fuel consumption under the existing production technology.Then,completed the waterbath experiments that under different water-bath temperatures and different demulsifier concentrations in the laboratory in order to determine the reasonably dewatering temperature of the crude oil.Data Envelopment Analysis(DEA)was used to establish an evaluation model that could evaluate energy consumption in the oil and gas combine station.According to the process flow of the first Binnan station,set the crude oil temperatures at the outlet of the furnaces and fuel consumption of furnaces as the input indicators,the output of crude oil as the output indicators,and then composed 20 decision-making units.Calculated the evaluation model to evaluate the effectiveness of the decision-making units,then optimize the non-DEA effective input indicators.Finally,combined the simulative results and laboratory experiments,an energy-saving optimization scheme for the first Binnan station was proposed.The energy-saving optimization scheme was applied to the actual production.The efficiency of the first and second heating furnaces was improved 12.54% and 8.20% separately;the fuel consumption of the first furnaces decreased from 4.19kgce/t to 3.15kgce/t;the fuel consumption of the second furnaces dropped from 1.61kgce/t to 1.39kgce/t;the average fuel consumption of the first Binnan station decreased from 5.80kgce/t to 4.54kgce/t,a 21.7% decrease compared to the previous operation.The prediction error of the DEA evaluation model is 2.5%,which proved the predicted value is accurate and reliable.