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.
Background
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.
