基于过程神经网络的数字油田运维优化研究  

Research on Optimization of Digital Oilfield Operations and Maintenance Based on Process Neural Networks

作　　者：牛辉 NIU Hui(Shuzhi Operation and Maintenance Punan Branch,Shuzhi Technology Company,Daqing Oilfield Co.,Ltd.,Daqing,Heilongjiang 163517,China)

机构地区：[1]大庆油田有限责任公司数智技术公司数智运维葡南分公司,黑龙江大庆163517

出　　处：《自动化应用》2024年第20期147-150,共4页Automation Application

摘　　要：为了更好地保障数字油田的稳定运行,最大程度上提升油井产量与运行效率,针对数字油田的运维优化展开深入研究,提出基于过程神经网络的数字油田运维优化方法。首先阐述过程神经网络的基本原理,然后利用过程神经网络采集与处理数字油田运行数据,获取数字油田设备的故障特征,依据故障特征建立数字油田运行设备数据匹配模型,利用过程神经网络识别数字油田运行设备故障,完成数字油田的运维优化。建立实验对比分析环节,结果表明,该方法能有效提升油田运行设备故障识别的准确率,对识别出的设备故障进行维护,提升油井的产量与运行效率,确保数字油田稳定运行,为后续数字油田运维优化领域的相关研究提供依据。In order to better ensure the stable operation of digital oilfields and maximize the output and operating efficiency of oil wells,in-depth research on the operation and maintenance optimization of digital oilfields is carried out,and a digital oilfield operation and maintenance optimization method based on process neural networks is proposed.Firstly,the basic principle of process neural networks is described,and then process neural networks are used to collect and process the operation data of digital oilfields to obtain the fault characteristics of digital oilfield equipment.Based on the fault characteristics,a data matching model of digital oilfield operation equipment is established,and process neural networks are used to identify the faults of digital oilfield operation equipment to complete the operation and maintenance optimization of digital oilfields.An experimental comparison and analysis link is established,and the results show that this method can effectively improve the accuracy of fault identification of oilfield operation equipment,maintain the identified equipment faults,improve the output and operation efficiency of oil wells,ensure the stable operation of digital oilfields,and provide a basis for subsequent related research in the field of digital oilfield operation and maintenance optimization.

关 键 词：过程神经网络 数字化 油田 

分 类 号：TE319[石油与天然气工程—油气田开发工程]