Visualize to Gain New Insights into the Subsurface
By its nature, geoscience is a visual discipline, and the Virtual Core application enables geoscientists to view all of their data in one place so they can collaborate on the same data sets and draw new conclusions.
Virtual Core Features
Data Visualization Capabilities
This deep dive demonstrates the Virtual Core application capabilities in visualizing integrated data sets across multiple scales to create a system that is intuitive. The system enables the user to develop stronger insights, in particular for subsequent AI and machine learning.
AI And Machine Learning Techniques
This deep dive demonstrates the Virtual Core application capabilities in AI and machine learning techniques for extracting features and classification. The Virtual Core application eliminates the drudgery of core analysis while providing a deeper understanding of the data.
CT Scan and Photograph Data Preparation Service
CT Scans and core photograph images are underutilized due to the difficulties in cleaning, preparing and integrating with other data. Virtual Core corrects CT data and integrates with core photographs so that CT data can be re-evaluated and used more frequently.
Featured Case Studies
Applying Machine Learning to Subsurface Data Reduces Uncertainty
Analyzing and upscaling cores and other subsurface data using AI/machine learning techniques creates a new level of efficiency and understanding for geoscientists.
Enthought Presentation at SPE
Enthought’s Ryan Swindeman presented a poster titled “Permeability Prediction Using Machine Learning to Upscale Core Measurements” at the SPE Data Science Convention held on April 4, 2019. The Virtual Core application’s advanced workflows enabled permeability prediction along the entire core using AI / ML algorithms.