EOR Management and Optimization Using Fast AI Models that Honor Data and Reservoir Physics
Proven Technology used Worldwide
Physics + Machine Learning
Tachyus' Data Physics models are machine learning models that honor reservoir physics like traditional reservoir simulators, but are orders of magnitude faster
Run multi objective optimization to optimize injection rates, producer to injector conversions, etc. against many objectives like oil production, NPV, etc. in a few hours
Fast Model Creation
Build and validate predictive models in a matter of days that match all your historical production and injection data
Get an ensemble of models that all match your historical data to account for uncertainty and measurement errors
Fast What-If Analysis
Run what-if scenarios like the impact of changing injection rates, well conversions, infill well drilling, etc. in a matter of minutes
Understand your field through estimates of connectivity between wells, spatial variation of reservoir quality, and distributions of reservoir properties
How it Works
In traditional reservoir management, various types of predictive models have been applied over the years for quantitative decision making. Such models range from the very simple analytical models (type-curves, etc.) to the very complex reservoir simulation models. Simulation models attempt to model 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 and steamflood management 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.