AIQ’s ROBOWELL is designed to assist in the stabilization of well production in the most economically efficient manner possible
The application is set up to eliminate the need for the operations personnel to constantly monitor and adjust the well-operating variables
ROBOWELL is able to maintain stable operating conditions and optimize well production while considering the objectives to minimize gas lift consumption and operating constraints such as minimum bottom hole pressure, maximum flow line pressure, and maximum annulus pressure (MAASP), among other factors
Work process that allows users to monitor and evaluate the performance of RoboWell. Model generation, calibration and update. Bulk update functionality.
ML Virtual Meter Models Machine Learning models or algorithms that estimate production rates without the need for physical flow meters. Expert System Models Knowledge-based systems or decision support systems, are tools used to assist in complex decision-making processes.
Dynamic Linear Models Reproduces dynamic response of the well when each variable changes. Physics-based AI Models (Runs every minute) Estimates parameters in real time (i.e. virtual meters)
Keeps wells within their safe operating envelope, reducing trips and unplanned shutdowns.
Improves efficiency in drilling and planning new wells
Deployed across 500+wells resulting in Increase of production by 5%
Enhance overall production efficiency and stability.
Reduction in CO2 emissions vs conventional HSE & Sustainability - Safe Operation
Cuts well movement by up to 50%, lowering costs and downtime
AIQ Perform: Powering deeper operational insights
