石油化工应用2024,Vol.43Issue(10) :68-71.DOI:10.3969/j.issn.1673-5285.2024.10.015

致密气田大井组井场工况智能监控优化研究与应用

Research and application of intelligent monitoring for well site working conditions of large well group in tight gasfield

张昀 陈晓刚 张建昌 胡建国 左晨 李丹
石油化工应用2024,Vol.43Issue(10) :68-71.DOI:10.3969/j.issn.1673-5285.2024.10.015

致密气田大井组井场工况智能监控优化研究与应用

Research and application of intelligent monitoring for well site working conditions of large well group in tight gasfield

张昀 1陈晓刚 1张建昌 2胡建国 3左晨 1李丹4
扫码查看

作者信息

  • 1. 长庆工程设计有限公司,陕西 西安 710000
  • 2. 中国石油长庆油田分公司第三输油处,宁夏 银川 750006
  • 3. 中国石油长庆油田分公司,陕西 西安 710000
  • 4. 中国石油长庆油田分公司第二采气厂,陕西 西安 710000
  • 折叠

摘要

随着气田大井组井场建设、气井排水措施和集中监控模式推广,生产监控范围、监控数据点数呈规模化扩大,常规数字化监控技术已不能满足井场工况判断、故障识别要求.通过分析大井组井场不同气井生产方式对监控的影响,提出工况动态分析方法,提高了判断效率和准确性,降低了人工分析判断强度.

Abstract

With the well site construction,drainage measures and centralized monitoring model popularization of gas wells,the scope of production monitoring and the number of monitoring data points are expanded in scale,conventional digital monitoring technology can not meet the requirements of well site condition judgment and fault identification.By analyz-ing the influence of different gas well mode of production on monitoring,the dynamic analy-sis method of working condition is put forward,which improves the efficiency and accuracy of judgment and reduces the intensity of manual analysis and judgment.

关键词

大井组井场/过程监控/气井状态/故障诊断/状态分析

Key words

large well group well site/process monitoring/gas well status/fault diagnosis/status analysis

引用本文复制引用

出版年

2024
石油化工应用
宁夏化工学会

石油化工应用

影响因子:0.276
ISSN:1673-5285
段落导航相关论文