摘要
随着数字新疆油田深化应用及智能油田建设的不断推进,特别是在国际油价和国内市场需求不断波动的形势下,新疆油田越来越关注利用具有分析预测能力的大数据技术挖掘油田数据价值、提高数据利用率,从而指导油田生产、实现降本增效。围绕智能新疆油田建设中提前预测抽油井结蜡状态这一业务需求,本文介绍了大数据在抽油井结蜡预测中的研究成果及应用,为实现油田各项业务数据化提供了技术手段和有力支撑。
As the deep application of digital Xinjiang oil field and constant progress of intelligent oil filed construction, especially in the fluctuation of international oil price and domestic market demand, more and more attention are paid on oil field data mining in Xinjiang oil field by using predictive big data technology to improve the utilization of the data, thus to guide oil filed production and realize cost decreasing and benefit increasing. For the business requirement of predicting paraffin deposit in pumping well of Xinjiang intelligent oil field, this paper introduces the research results and the application of big data in paraffin deposition prediction of pumping well, which provides technical means and powerful support for realizing the digital oil field.
出处
《数码设计》
2016年第3期57-60,28,共5页
Peak Data Science
关键词
智能油田建设
大数据挖掘
抽油井结蜡预测
随机森林
降本增效
digital oil field construction
big data mining
paraffin deposition prediction
random forest
cost decreasing and benefit increasing