OAG Analytics demystifies the subsurface and improves the
predictability of field development planning.
Add OAG to Your Well Planning Workflows
Proprietary Reservoir Depletion and Well Interference Algorithms
Add OAG to Your Subsurface Workflows
Computational Geometry to Extract New Signals from Your Maps
Demystify the Subsurface
Geoscience is uniquely poised to benefit from machine learning. Much of the industry’s “big data” is captured in seismic and well logs, and some level of interpretation or qualitative evaluation is usually necessary. Machine learning evaluates large data sets and helps geoscientists pair their qualitative interpretations with automated and quantitative workflows to better assess risk.
Through automation and quantification, operators are improving consistency; reducing interpretation time; and providing higher fidelity geologic and geophysical inputs to critical cross-disciplinary operations such as well spacing, completions optimization, and landing zone optimization.
Improve existing maps
Automate basin-wide mapping
Predict core properties from logs
Identify facies from logs
Missing log prediction
It All Begins With the Data
Make Managing Data Easier
OAG Data Manager
During upstream operations, millions of data points are generated and stored in an array of database instances that are disconnected and difficult to access. Data Manager simplifies the process of preparing and managing your complex data portfolio and enables self-service access for your entire team.
- Organize all data types
- Combine public, subscription, and proprietary data
- Normalize data stored in multiple formats
- Create a data set in minutes using a point and click interface
- Seamlessly integrate with data visualization tools like TIBCO Spotfire