基于物联网的油田井口数据检测传输方法研究  

Research on Oilfield Wellhead Data Detection and Transmission Method Based on Internet of Things

作　　者：秦宏伟 党瑞荣[1] 党博[1] 曹峰[1] QIN Hong-wei;DANG Rui-rong;DANG Bo;CAO Feng(Shanxi Key Laboratory of Measurement and Control Technology for Oil and Gas Wells,Xi'an Shiyou University,Xi'an 710065,China)

机构地区：[1]西安石油大学陕西省油气井测控技术重点实验室,陕西西安710065

出　　处：《仪表技术与传感器》2022年第11期96-100,112,共6页Instrument Technique and Sensor

基　　金：国家自然科学基金(41874158)。

摘　　要：文中提出将油田井口三相流检测数据上传云服务器的设计方案,定义了原始数据上传格式,编写服务器端解析程序的同时利用传输控制协议(transmission control protocol, TCP)上传数据,将得到的原始数据经过模型优化处理,计算油田需求的实际参数并存入服务器数据库中,供石油工程师在线提取及分析。通过多次试验测试,数据库存储稳定有序,验证了三相流测量仪器与服务器互连的可行性。文中井口三相流检测系统的设计可大量收集一手数据,也降低了油田工人手动测量的偶然误差,并通过大数据分析预测未来油井的生产状况。在石油仪器科技领域有广泛应用。This paper proposed the design scheme of uploading the three-phase flow detection data of the oilfield wellhead to the cloud server.The original data upload format was defined, and the data was uploaded by transmission control protocol(TCP) while the server side parsing program was written.The obtained original data was processed by model optimization, and the actual parameters of oilfield demand were calculated and stored in the server database for online extraction and analysis by petroleum engineers.Through many tests, the database storage was stable and orderly, which verified the feasibility of the combination of the three-phase flow measuring instrument and the server.The design of the wellhead three-phase flow detection system can collect mass of data and reduce the accidental error of manual measurement by oilfield workers, and predict the production status of future oil wells through big data analysis, which has wide application in the field of petroleum instrument science and technology.

关 键 词：数据检测系统 数据格式 解析程序 模型建立 云服务器 数据存储 

分 类 号：TH865[机械工程—仪器科学与技术]