摘要
针对目前油井井口加热技术通常采用的直电式电加热技术存在的耗电量高,加热效率低,能源成本升高以及电加热盘管与采出液直接接触加温存在安全隐患等问题,提出了一种将相变储热装置与电加热炉结合的控制系统设计方案,通过对相变储热系统的控制逻辑和控制参数分析,基于BP神经网络控制设计了一种相变储能油田井口加热系统控制优化的改进方法,开发了相变储热系统远程控制平台并对平台的控制效果进行现场测试。测试结果表明:该控制系统可以实现相变储能装置和超储水蓄热罐的联合控制,加热出口温度值与设定值偏差不大于5%,能够针对电加热、相变储能联合加热以及峰谷时段差异等不同工况,设计实现至少3种以上加热方式的控制逻辑,有效提高了相变储热系统的工作效率、减少能源消耗。
In view of the problems such as high power consumption,low heating efficiency,high energy cost and the hidden danger of direct contact heating between electric heating coil and produced liquid in the direct electric heating technology commonly used in current oil wellhead heating technology,a control system design scheme combining phasechanging heat storage device and electric heating furnace is proposed.Through the analysis of the control logic and control parameters of the phasechanging heat storage system,the improved control and optimization method of the wellhead heating system of the phasechanging energy storage is designed based on BP neural network control.The remote control platform of phasechanging heat storage system is developed and the control effect of platform is tested on the spot.The test results show that the control system can realize the joint control of phasechanging energy storage device and super storage water storage tank,and the deviation of temperature value and set value with heating outlet is less than 5%.The control logic of at least three heating modes can be designed according to different working conditions such as electric heating,phasechanging energy storage associated with heating and difference between peaking and valley time,which effectively improves the working efficiency of phasechanging heat storage system and reduces energy consumption.
作者
尹迪
YIN Di(Shengli Oil Production Plant of Shengli Oilfield Company)
出处
《石油石化节能》
CAS
2023年第6期65-71,共7页
Energy Conservation in Petroleum & PetroChemical Industry
关键词
相变储能
平台开发
神经网络
PLC
phasechanging energy storage
platform development
neural network
PLC