本文提出了一种稳健的工作流程，通过实时数据分析和异常监控方法，识别气举井的优化机会。文章分享了该工作流程的初步应用成果，以及作业者如何获得关于运行参数的技术支持性建议，从而为生产优化提供了一个补充视角。
该运营商正致力于开发数字化解决方案，通过促进文化变革、改进运营和提高效率来推动公司转型。该方法依赖于可编程逻辑控制器镜像系统，该系统主要用于油田的数据可视化和分析。该系统能够创建副本运营数据库，使用户能够监控油井、计量表、设备、工艺流程和生产系统的实时和历史数据。
This paper presents a robust workflow to identify optimization opportunities in gas lift wells through real-time data analysis and surveillance-by-exception methodology. It shares the initial results of application of this workflow and how the operator received technically supported recommendations regarding operational parameters, providing a complementary perspective for production optimization.
The operator is engaged in the process of developing digital solutions to transform the company by fostering cultural change, improving operations, and creating efficiencies. The methodology relies on a programmable-logic-controller mirror system primarily used for data visualization and analytics in oil fields. This system enables the creation of a replica operations database, allowing users to monitor real-time and historical data for wells, meters, equipment, processes, and production systems.
