About Aqueon

In traditional reservoir management, various types of predictive models have been applied over the years for quantitative decision-making. Such models range from very simple analytical models (type curves, etc.) to very complex reservoir simulation models. Simulation models attempt to model the detailed behavior of reservoir physics and integrate all kinds of measured data. However, many issues such as the significant time and effort required to build and calibrate these models, computational complexity, etc. generally make their practical application difficult.

Tachyus' Data Physics is the amalgamation of the state-of-the-art in machine learning and the same underlying physics present in reservoir simulators. These models can be created as efficiently as machine learning models, integrate all kinds of data, and can be evaluated orders of magnitude faster than full-scale simulation models, and since they include similar underlying physics as simulators, they have long-term predictive capacity. The Data Physics based waterflood, gas injection, WAG, CO2 flood, polymer injection, steamflood management, and primary workflows are very fast and users can go from data preparation and modeling to decisions in a matter of days. Additionally, the models can be quickly updated with new data so that they always remain operationally useful.