JFES 2020 Virtual Seminar(4-5 Nov 2020) successfully held

JFES 2020 Virtual Semiar was successfully held on 4-5th November, 2020. Over 70 attendees enjoyed discussions on various topics such as porosity estimation workflow and machine learning application for reservoir characterization.

Date & Time
4-5th Nov, 2020, 15:00-17:00 (Online seminar), 17:00-17:30 (Networking time)
Venue
Online
Day 1 (4th Nov)
15:00-15:40
Possibility and Characteristics of CO2-based Fracturing in Granite from Conventional to Superhot Geothermal Conditions
Eko Pramudyo, Tohoku University Graduate School of Environmental Studies
15:40-16:20
Porosity Complexity in carbonate reservoirs *Japanese
Jiro Asada, Principal Geologist, Technology Promotion Department, INPEX Solutions, LTD
16:20-17:00
Simultaneous estimation of in situ porosity and thermal structure from core sample measurements and resistivity log data *Japanese
Suguru YABE, Researcher / Geological Survey of Japan, AIST
17:00-17:30 Networking
Day 2 (5th Nov)
15:00-15:40
Using machine learning to build detailed facies models at the basin & reservoir scale: Overcoming challenges in data quality to build more reliable & diverse training models.
Kian Wei Tan, Technical Consultant, Halliburton
15:40-16:20
Machine Learning-based Rock Type Classification Approach for Reservoir Distribution in Tensleep Formation.
Lilik T. Hardanto, Application Geoscientist, Emerson Automation Solutions.
16:40-17:00
Uncertainty and Spatial Modelling. Making ML and Geostatistics work together
Colin Daly, Advisor Property Modeling, Schlumberger Limited.
17:00-17:30 Networking

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