原油含水测量数据的实时处理技术研究  

Research on Real Time Processing Technology of Crude Oil Water Content Measurement Data

作　　者：王奋寿 WANG Fenshou(Lanzhou Keqing Instrument Co.,Ltd.,Lanzhou 730010,China)

机构地区：[1]兰州科庆仪器仪表有限责任公司,甘肃兰州730010

出　　处：《云南化工》2025年第4期97-99,共3页Yunnan Chemical Technology

摘　　要：为解决原油含水率测量过程中存在的处理延时大、抗干扰能力差、数据传输负载重等问题,研究构建了基于边缘计算的实时处理框架。该框架采用高精度ADC芯片采集数据,结合中值滤波、Savitzky-Golay滤波进行预处理,引入动态补偿和自适应算法优化系统性能。在20个油田计量站点的实际应用表明,系统在高含水和低含水工况下测量精度分别达到±1.5%和±1%,数据处理平均延时8.7 ms,压缩比5.5∶1。研究成果有效解决了现场应用中的关键问题,显著提升了测量精度和系统性能,为油田生产过程中的含水率实时监测提供了可靠的技术支撑。In order to solve the problems of large processing delay,poor anti-interference ability and heavy data transmission load in the process of measuring water cut in crude oil,this study built a real-time processing framework based on edge computing.This framework uses high-precision ADC chips to collect data,combined with median filtering and Savitzky Golay filtering for preprocessing,and introduces dynamic compensation and adaptive algorithms to optimize system performance.The practical application at 20 oilfield measurement stations shows that the system achieves measurement accuracy of ±1.5% and ±1% respectively under high and low water cut conditions,with an average data processing delay of 8.7 ms and a compression ratio of 5.5∶1.The research results have effectively solved key problems in field applications,significantly improved measurement accuracy and system performance,and provided reliable technical support for real-time monitoring of water content in oilfield production processes.

关 键 词：原油含水率 实时数据 动态补偿 自适应算法 边缘计算 特征提取 

分 类 号：TE622[石油与天然气工程—油气加工工程]