What: Presentation, demo, and Q&A with Brendon Hall, Geoscience Product Manager, Enthought
Who should watch this webinar:
- Oil and gas industry professionals who are looking for ways to extract more value from expensive science wells
- Those interested in learning how artificial intelligence and machine learning techniques can be applied to core analysis
Geoscientists and petroleum engineers rely on accurate core measurements to characterize reservoirs, develop drilling plans and de-risk play assessments. Whole-core CT scans are now routinely performed on extracted well cores, however the data produced from these scans are difficult to visualize and integrate with other measurements.
Virtual Core automates aspects of core description for geologists, drastically reducing the time and effort required for core description, and its unified visualization interface displays cleansed whole-core CT data alongside core photographs and well logs. It provides tools for geoscientists to analyze core data and extract features from sub-millimeter scale to the entire core.
In this webinar and demo, we’ll start by introducing the Clear Core processing pipeline, which automatically removes unwanted artifacts (such as tubing) from the CT image. We’ll then show how the machine learning capabilities in Virtual Core can be used to describe the core, extracting features such as bedding planes and dip angle. Finally, we’ll show how the data can be viewed and analyzed alongside other core data, such as photographs, wellbore images, well logs, plug measurements, and more.
What You’ll Learn:
- How core CT data, photographs, well logs, borehole images, and more can be integrated into a digital core workshop
- How digital core data can shorten core description timelines and deliver business results faster
- How new features can be extracted from digital core data using artificial intelligence
- Novel workflows that leverage these features, such as identifying parasequences and strategies for determining net pay
|Brendon Hall, Enthought
Geoscience Product Manager and Application Engineer
- Virtual Core product page
- Want to expand your Python skills? Join our Python for Scientists and Engineers training in Houston, May 8-12, 2017 or Python for Data Science training in Austin, June 12-16, 2017
- Come talk with us at these April events:
- AAPG ACE 2017 (American Association of Petroleum Geologists), April 2-6, 2017, Booth 2343
- Machine Learning in Oil and Gas Conference, Houston, TX, April 19-20, 2017, See us at our table outside the ballroom
Other Blogs and Articles on Virtual Core:
- Scientists Use Enthought’s Virtual Core Software to Study Asteroid Impact
- Weatherford Labs and Enthought Collaborate to Analyze Chicxulub Crater Core Believed to be Tied to Dinosaur Extinction Event
- The Latest Features in Virtual Core: CT Scan, Photo, and Well Log Co-visualization
- Geophysical Tutorial: Facies Classification using Machine Learning and Python