Deep-Learning Technique Monitors Well-Testing Burner Efficiency
The proposed solution is a good candidate for real-time burner-efficiency monitoring and automatic alarm triggering and optimization.
During well-testing operations, incorrect burner combustion could have an adverse effect on the environment or personal safety. Combustion efficiency is assessed by personnel who observe the flame. This practice lacks consistency and poses challenges, including environmental and safety considerations and issues with data. In the complete paper, the authors propose a solution that uses a deep neural network that learns from flame videos to define the quality of the combustion.