The shale.ai presents engineers with a suite of solutions, via a decision canvas, comprised of familiar graphics and terminology.
shale.ai ingests subsurface and surface measurements, cleanses them, and spontaneously provides a viable prediction based on user settings.
The formulation of each solution is underpinned by an intimate understanding of the subsurface flow of fluids and the applicable laws that govern them. Engineers work with the data at their disposal, staying clear of the crippling tyranny of dataset completeness that certain conventional techniques impose.
Predictions are always provided with a confidence measure, so that the user may qualify (or disqualify) their quality. Because each prediction is obtained in mere seconds, engineers can afford to explore the full range of uncertainties in their geological data or test the full scope of drilling and completion options at their disposal.
The outcome is a better and leaner field development plan which continues to improve over time.
Automated data ingestion and cleansing
Automated data aggregation
Discovery of correlations
Automated data engineering
Understand relative importance
Interaction by natural language
A modern user experience designed by petroleum engineers for petroleum engineers
Advanced artificial intelligence settings available for data scientists
Open architecture to integrate your own machine learning algorithms and models directly into oilfield.ai
Cloud computing to support large data sets and simulation performance
Data and parameter obfuscation ensuring security and confidentiality in the cloud
Rich suite of machine learning inference engines