Introduce the theory and practical applications of machine learning within the Subsurface as a means to help improve data-driven decision making within Geoscience teams. Plan to attend "Intro to Energy Machine Learning for Geoscientists".
Mark your calendar to attend "Intro to Energy Machine Learning for Geoscientists".
- Date/time
- Tue, March 31, 2020
- 8:00 AM - 4:30 PM
- Location
- Aramco Services Company
- 1200 Smith St. Houston, TX 77002
This one-day course is a great starting point and will introduce the theory and practical applications of machine learning within the Subsurface.
The course will be delivered by renowned Geostatistics and Reservoir Modeling expert, Dr. Michael Pyrcz, who is the Chief Science Officer at daytum and AAPG Distinguished Lecturer.
Course materials will consist of web-hosted lecture materials, instructor led, well-documented methods, workflow demonstrations, and coding examples. The workshop will be delivered via a cloud-based Jupyter Lab session, so the only thing you need to bring are your laptop and your fingers!
The purpose of this workshop is:
- To introduce methods that improve data-driven decision making within geoscience teams.
- To get familiar with a variety of Machine Learning methodologies by learning them through real industry applications.
If you are an AAPG member, please use discount code AAPGmember55 to get $55 off during registration. For more info email [email protected]
Breakfast, Lunch, coffee and light snacks included! We hope to see you there!
Information and Registration