首页> 外文会议>Abu Dhabi International Petroleum Exhibition Conference >Electrical Submersible Pump Digital Twin, the Missing Link for Successful Condition Monitoring and Failure Prediction
【24h】

Electrical Submersible Pump Digital Twin, the Missing Link for Successful Condition Monitoring and Failure Prediction

机译:电气潜水泵数码双,缺失条件监测和故障预测的链接

获取原文

摘要

A digital twin is an enhanced digital representation of a real system. Digital twins are able to mimic the operation of physical systems and use data captured from their sensors to detect abnormal conditions and diagnose the cause of the problem. This paper discusses digital twin concept in general and describes the process of developing a digital twin for electric submersible pump (ESP) systems. It includes a description of the different subsystems interacting with the ESP equipment and the physics governing dynamics of each subsystem and the implementation of the digital versions. The ESP digital twin considered in this paper encompasses the ESP lifted well and includes digital versions of the ESP string, well completion, well fluids, and near wellbore reservoir, among others. The document also describes the implementation of the physics models into a simulator capable to represent diverse operating conditions of the system, including failures and transients. Finally, the paper discusses the applications of the ESP digital twin, especially in the development of artificial intelligence (AI) systems for equipment monitoring and failure prediction.
机译:数字双胞胎是真实系统的增强数字表示。数字双胞胎能够模仿物理系统的操作,并使用传感器捕获的数据来检测异常条件并诊断问题的原因。本文讨论了数字双胞胎概念一般,并描述了为电动潜水泵(ESP)系统开发数字双胞胎的过程。它包括对与ESP设备交互的不同子系统的描述以及每个子系统的动态和数字版本的实现。本文考虑的ESP数码双胞胎包括ESP升起,包括ESP字符串,完井,井流的数字版本,以及井眼水库附近。该文档还将物理模型的实现描述为模拟器,该模拟器能够代表系统的各种操作条件,包括故障和瞬变。最后,本文讨论了ESP数码双胞胎的应用,尤其是在人工智能(AI)系统的开发中,用于设备监测和故障预测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号