Our proprietary optimization algorithm combines the data driven models that are stored in our model database with production system and well constraints. This enables automated optimization capabilities by providing engineers with a live feed of production enhancing opportunities, that would otherwise have gone unnoticed. The system generates advice on how valves, pumps or pressures can be changed to utilize production system bottlenecks better, and thereby increase production throughput.
A key point is the use of data-driven models rather than conventional simulators.
This is made possible by automatic calibration, and the intended use is for limited operational changes in the vicinity of the current production settings, making data-driven models sufficient. By combining these data-driven models with convectional simulators, one would gain additional predictive capabilities.
ProductionCompass’ visualizations and suggestions are provided to users through a web interface that focuses on availability, low maintenance, user-friendliness and cut-to-the-chase problem solving. It is designed for and available on desktop, tablets and smartphones.