Webinar: Next Generation Reservoir modeling: Machine Learning for Property Modeling

The IRM network group is happy to invite you to a webinar on machine learning for property modeling utilizing the Embedded Model Estimator (EMBER) algorithm. Raina Carballares from SLB will be presenting. Don't miss out on this great event.
Date | Time | Register by | Location |
19. May | 12:00-13:00 | 19. May | Teams |
- The presentation will introduce machine learning for property modeling utilizing the Embedded Model Estimator (EMBER) algorithm, which leverages machine learning combined with classic geostatistical estimation and simulation techniques to produce robust stochastic property predictions. Machine learning for property modeling EMBER is data driven approach that enable geomodelers to incorporate all available data to provide better constrained and predictive property models, unbiased predictions of sweet spots and a realistic quantification of uncertainty. The novel integration of geostatistical models within Machine Learning removes the need for extensive data preparation tasks and enables the incorporation of unlimited number of secondary data. This significantly enhances the efficiency and accuracy of property modeling .
- This approach eliminates the need for extensive data preparation tasks, significantly reducing modeling time and enhancing efficiency. EMBER provides a comprehensive and reliable framework for property modeling, making it a powerful tool for delivering reservoir characterization studies with increased efficiency and confidence.
FORCE seminars have previously been fully booked with waiting lists so you are encouraged to sign up as soon as you know you will attend.
Participation fees in-person:
FORCE members: free
Non-members: NOK 500,-
University/Students: free
Important information:
You can register as a FORCE member and pay "FORCE member" price if you are an employee of a member company.
All FORCE member companies are listed here.
Payment is made online by credit card or VIPPS. Please note that no refunds will be given after you have signed up.
If you for any reason cannot attend the workshop, you are welcome to send a representative, just inform the FORCE Secretariat as soon as there are changes.
If you need to cancel your registration, please use the confirmation e-mail you received when you signed up.
If the seminar/webinar is cancelled, your payment will be refunded.
For other questions, please contact FORCE Secretariat
Norwegian Petroleum Directorate org.no: 870917732
Updated: 5/5/2025