Fraceon
Unconventional Well Optimization
Optimize unconventional well design and location quickly and easily with Data Physics driven fast full field models that match all your historical data and honors reservoir physics.
Optimize unconventional well design and location quickly and easily with Data Physics driven fast full field models that match all your historical data and honors reservoir physics.
Build and validate predictive models in a matter of days that match all your historical production and fracking data
Optimize well spacing, lateral length, frac stages, injection volume, pad/well location and other key design parameters
Optimize BHPs and choke settings during flowback to maximize production, NPV and recovery
Run probabilistic forecasts to estimate P10-P50-P90 production and recovery in minutes for any well, pad or full field
Build reliable models with little data via transfer and federated learning, and extrapolate beyond measurements
Fraceon combines physics based well/pad models and state-of-the-art machine learning techniques into a seamless full field model
The physical well models ensure that model predictions are always physically realistic and reliable
Through this combined modeling approach, Fraceon is able to integrate data that usually cannot be integrated directly into physical models
Fraceon provides an ensemble of models that all match your historical data to account for uncertainty and measurement errors
Fraceon is very fast and independent of interpretation bias, full field models can be run in minutes
Fraceon can run locally or on Tachyus Cloud, with no infrastructure footprint
Data can be exported easily to other visualization and analysis tools
In traditional unconventional modeling, 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 reservoir physics. 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 reservoir physics, they have long term predictive capacity and provide physically realistic results. Data Physics based Fraceon is 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.