Web架构驱动的石油工业知识挖掘系统

石油工业大数据具有无限潜力与价值，将大数据与数据挖掘技术应用其中，不仅可以提升石油行业工业化水平，而且对石油行业智慧化发展起到强有力地推动作用.由此提出了一个Web架构驱动的、集成了数据挖掘五大模块的新型工业知识挖掘系统-即石油工业数据挖掘系统，包含：数据集管理、预处理算法管理、数据挖掘算法管理以及数据挖掘流程管理和数据结果可视化五大模块.本系统实现了完全自助式的数据提取、数据预处理、数据分析与知识挖掘和结果可视化展示的完整知识挖掘流程.通过以Web的形式满足油田不同层级的用户在不同场景下的即时使用需求，极大提高了系统的灵活性.通过本系统，油田的技术开发人员可忽略大数据的搭建以及其他复杂构建过程，更好的服务于油田数据建模和分析.

Knowledge Mining System for Petroleum Industry Driven by Web Architecture

Big data of petroleum industry has infinite potential and value. The application of big data and data mining technology can not only improve the industrialization level of petroleum industry, but also play a strong role in promoting the intelligent development of petroleum industry. This paper presents a new industrial knowledge mining system-Petroleum Industry Data Mining System, which is driven by Web architecture and integrates five modules of data mining. The five modules inclide data set management, pre-processing algorithm management, data mining algorithm management, data mining process management, and data result visualization. The system realizes completely self-service data extraction and data pre-processing, and completes knowledge mining process of management, data analysis, knowledge mining, and visualization of results. The flexibility of the system is greatly improved by satisfying the real-time requirements of users at different levels in different scenarios in the form of Web. Through this system, oilfield technicians can neglect the construction of large data and other complex construction processes, and better serve oilfield data modeling and analysis.