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LIVE WEBINAR – Application of tNavigator’s Machine Learning and Integrated G&G Workflows to Build State of the Art Geological Models
Tuesday, 7 September, 2021 @ 11:00 am - 12:00 pm (Australia/Perth time)
Free – $10.00
Guest Speaker(s): Tito Lozada and Arie Krisna
Tito Lozada:
Tito Lozada is a technical support geologist for the Australia, New Zealand and East Timor region for Rock Flow Dynamics. He holds an MSc in Petroleum Geoscience from the University of Western Australia and was the recipient of 2020’s Hugh Doyle prize in Geophysics. Before joining RFD he worked in field technical roles, both on and off-shore.
Arie Krisna:
Arie Krisna is a Senior Geologist/ Geology Team Lead for the South East Asia region for Rock Flow Dynamics. He holds a Master in Petroleum Geoscience, University Malaya, KL, Malaysia and Bachelor of Geology, Bandung Institute of Technology, ITB, Bandung, Indonesia. Arie is a Geoscientist with 16+ years of oil & gas industry experiences, focusing on the development and production phase. Exposed extensively to reservoir geology with significant strength in static geological model building.
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.
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