LIVE WEBINAR – Application of tNavigator’s Machine Learning and Integrated G&G Workflows to Build State of the Art Geological Models

Kindly supported by Rock Flow dynamics

This live webinar will take place at:

11am              – Perth
12.30pm       – Darwin, Adelaide
1pm                – Brisbane, Canberra, Hobart, Melbourne, Sydney

Use the calendar link on this page to add this event in to your own calendar at the correct local time for your location.

Tickets are free for members (please log in to see this) and $10 for non members.

Please buy your tickets and immediately follow the link in the ticket e-mail (not the calendar invite or this webpage, which is just generic and not event specific) to set up your registration with the webinar software well in advance of the time of the talk. Once registered with the webinar software you will receive a reminder e-mail 1 hour beforehand.

Application of tNavigator’s Machine Learning and Integrated G&G Workflows to Build State of the Art Geological Models

Presented by Tito Lozada and Arie Krisna 

Abstract

Recent technological improvements have resulted in daily generation of massive datasets in oil and gas industries. tNavigator with its parallel computing, machine learning capabilities, and integrated platform enables Geoscientists and Engineers to work in a collaborative environment more efficiently.

 This webinar will show how the machine learning and integrated study within tNav improves understanding of the reservoir and reduces risks in decision making. It allows Geoscientists and Engineers to capture important heterogeneities and account for full range of uncertainties to generate multiple scenarios for optimum development strategies.