The Optimization Technology Research Of Water Injection Pipeline Network In Depth Of Sazhong Oilfield

The high pressure of water injection technology will maintain reservoir pressure andincrease oil recovery which has already been widely used in Daqing oilfield. With long-period producing, the total water cut is increasing. To make the production stable, we increasewater injection year by year. The result is that electricity consumption grows sharply. Fromnow on, there are1375infill wells,280kilometers water injection trunk line,19waterinjection stations and42water injection pumps in Sazhong oil field. Most of the important is2.7×108kwh/a electricity consumption which is used in water injection per year and totalpressure drop of water injection network is4.58MPa. So the system efficiency is only48-52%. In other words, nearly half of the electricity consumption is a waste. Therefore, the keyway to optimize water injection system is to lower the production expenses and improve theenergy efficiency.This research aims at building up a complex loop micro-model of multipoint centralizedwater injection and fixed shunt in depth, based on the research of urban water supply theoryand the application of practice, especially for complex and numerous water-injection pipenetwork systems in oil field. Via analyzing nonlinear dynamic system of water injection indepth of Sazhong oilfield, according to the basis of topological relation, the orthogonal pilotanalysis theory and sensitivity analysis theory, we get the method of calculating frictioncoefficient which is suitable for water injection system of oilfield in depth so that we establisha microscopic model of multipoint-centralized water supply and fixed shunt. Using thefriction coefficient I solved to simulate working condition and optimizing the demands ofpipeline and conditional target, I finally achieve ideal pump-station flow distribution andpressure distribution, and based on this, I advance the corresponding optimization measuresand retrofit scheme. This paper offers a theoretical guidance for optimization of pipe networkoperation and optimization of pipe network reconstruction.