Improve earth models using machine learning with log, seismic, and core data.
Improve Well Spacing
OAG's proprietary reservoir depletion algorithms improve well spacing predictability
Manage Frac Hits
OAG's proprietary well interference algorithms improve frac hit predictability
Quantify Spacing Trends
How far apart do we place our wells?
Which completion designs should we consider?
Improve Well Planning Predictability
Reduce Planning Cycle Time
Quantify and improve the value of your existing rock data and earth models to support exploration and well planning decisions. OAG automates complex analytic processes, helping your geophysicists and geologists improve subsurface maps and predict missing rock properties.
Drilling unit economics are a function of rock properties, well design, and well spacing. Understanding depletion is essential to improving well spacing decisions. OAG's physics-based reservoir depletion algorithms combine with machine learning to improve predictability of complex full stack development.
Managing frac hits improves the predictability of pre-drill forecasts. OAG's proprietary well interference algorithms combine with machine learning to help predict the occurrence of frac hits and their impact on production of both wells.
Within three months of deploying OAG software to well spacing workflows, we improved the predictability of our pre-drill forecasts and reduced cycle time by three man months.