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随着经济的不断发展,石油工业在国民经济中的地位显著提高。石油也是我国能源的重要组成部分。而石油开采是一项复杂的系统工程,为保证石油开采的安全、高效进行,在油田生产过程中建立了相应的监控系统。但是在油田生产过程总会出现一些故障,不但影响了油田生产进度还造成了人力和物力的浪费。因此,基于数据的油田生产过程中的多故障诊断方法的研究具有一定的现实意义。文章先对油田生产过程中故障诊断技术的概述,再具体研究基于数据的油田生产过程中的多故障诊断方法。
With the constant development of the economy, the position of the oil industry in the national economy has significantly increased. Oil is also an important part of China’s energy. However, oil exploitation is a complicated systematic project. To ensure the safety and efficiency of oil exploration, a corresponding monitoring system has been established in the oilfield production process. However, some failures will always occur in the oilfield production process, which will not only affect the progress of oilfield production but also result in the waste of manpower and material resources. Therefore, the research of multi-fault diagnosis method in oilfield production based on data has certain practical significance. The article firstly gives an overview of the fault diagnosis technology in the oilfield production process, and then studies the multi-fault diagnosis method in oilfield production process based on the data.