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抽油机智能运行控制系统
引用本文:孙延安,李强,雷宇,钱坤,王新民,郑东志.抽油机智能运行控制系统[J].石油钻采工艺,2022,44(5):579-583.
作者姓名:孙延安  李强  雷宇  钱坤  王新民  郑东志
作者单位:1.中国石油大庆油田有限责任公司采油工程研究院
摘    要:目前国内油田经过多年的开发,很多采油井产液量逐年下降,中低产井供液不足的现象越来越严重。油井供采不平衡的问题,是机采井耗能大、效率低的主要原因。从解决供采关系的核心问题出发,研发基于电器控制器件和数字化技术的新型抽油机智能运行控制系统,在不引入高成本传感器和不进行复杂现场改造的情况下,根据采集的抽油机电参数据特征自动调控抽油机生产参数,实时保持油井在合理流压下生产,发挥油井最大产能,提升机采系统的系统效率。现场试验11口井,通过应用抽油机智能运行控制系统,平均液面深度上升36 m,平均日产液量提高2.22 m3,系统效率提高2个百分点。该系统提高了机采系统智能化水平、节约能源消耗、减少维护工作量,对提升信息化管理水平、降低机采系统运行成本具有重要的意义。

关 键 词:低产井  供采平衡  抽油机  智能控制  数字化技术

Intelligent operation control system of pumping unit
Affiliation:1.Oil Production Engineering Research Institute, PetroChina Daqing Oilfield Co., Ltd., Daqing 163453, Heilongjiang, China2.Key Laboratory of Oil and Gas Reservoir Stimulation of Heilongjiang Province, Daqing 163453, Heilongjiang, China
Abstract:Currently, after years of development of oilfields in China, the liquid production of many oil wells has decreased year by year, and the phenomenon of insufficient hydrocarbon supply is becoming more and more common in medium and low production wells. The unbalanced supply and production of these oil wells is the main reason for the high energy consumption and low efficiency of pumping wells. To solve the key problem of supply-production balance, this paper develops a new intelligent control system of pumping unit based on electrical control devices and digital technology, which can regulate the operation parameters of the pumping unit according to the data characteristics of the collected pumping mechanical and electrical parameters without introducing high-cost sensors and complex on-site transformation, maintain the oil well production under reasonable flow pressure in real time, which in turn, maximize production capacity of the oil well and improve the efficiency of the pumping production system. In the field test of 11 wells, after the application of the intelligent operation control system of pumping units, the average liquid level of the oil wells increased by 36 m, the average daily liquid output increased by 2.22 t, and the system efficiency increased by 2%. The system improves the intelligence level of the pumping production system, saves energy consumption, and reduces the maintenance workload, which is of great significance for improving the level of information management and reducing the operating cost of the pumping production system.
Keywords:
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