Fully automated hydrocarbon back allocation using physics embedded machine learning, integrating well test, pressure and temperature data of your surface network.
Understand layer-level production and injection allocation for every well across the whole history of the field simultaneously.
Make all key waterflood management decisions quickly and easily with Data Physics driven fast simulation models that match all your historical data and honors reservoir physics.
Increase oil production and decrease costs by over 10% with fast Data Physics models and multi-objective optimization
Fully automated probabilistic DCA leveraging state-of-the-art machine learning and data assimilation approaches.
Increase production and decrease steam-oil ratios with fast Data Physics models that identify the best wells to cycle.
Increase oil production and decrease SOR by 20% with fast Data Physics models and multi-objective optimization
Reduce OPEX and increase production by optimizing your well, completion and pad design with fast Data Physics models