基于大数据技术的石油数字化平台设计

Construction of Petroleum Digital Work Platform Based on Big Data Technology

摘要:

大数据技术成为驱动石油化工服务类企业数字化转型的有效手段,基于大数据技术的石油数字化工作平台建设是石油化工服务类企业的大数据应用实践,该技术整合了企业营销、生产、经营等多个板块的多种业务,串联了企业数据采集、存储、治理、挖掘、分析及应用的整个数据生命周期。本研究从石油化工服务类企业数字化发展现状及遇到的问题出发,结合大数据技术的发展及优势,提出了基于大数据技术的石油化工服务类企业石油数字化工作平台建设方案,通过对大数据故障信息进行提取,应用DBN大数据学习算法模型实现石油全寿命周期管理的数据计算和处理。通过实验,本研究的方法数据处理量大,准确度。

Abstract:

Big data technology has become an effective means to drive the digital transformation of petrochemical service companies. The construction of a petroleum digital work platform based on big data technology is a big data application practice for petrochemical service companies. This technology integrates corporate marketing, production, and operation. The multiple businesses in each sector connect the entire data life cycle of enterprise data collection, storage, governance, mining, analysis and application. Based on the current status of digital development of petrochemical service companies and the problems encountered, this research puts forward a plan for the construction of a petroleum digital work platform for petrochemical service companies based on big data technology, combined with the development and advantages of big data technology. The fault information is extracted, and the DBN big data learning algorithm model is used to realize the data calculation and processing of petroleum life cycle management. Through experiments, the method of this research has a large amount of data processing and accuracy.