Technical Program

Tuesday, May 14 – Morning
Machine Learning / AI / Big Data I
Room: Glen Room 206
Chair(s): Farrukh Akram & Edward Little
TimeTitle
8:35 - 9:00 An Organic Porosity Evolution Model through Machine Learning, Example from Upper Devonian Duvernay Formation, Western Canada Sedimentary Basin
Zhuoheng Chen, Jon Liu, Edward Little, Jijin Yang, Yu Zhou & Dennis Jiang
9:00 - 9:25 Machine Learning Strategies to Perform Facies Classification
Marcelo Guarido
9:25 - 9:50 Unsupervised machine learning applications for seismic facies classification
Satinder Chopra, Ritesh Kumar Sharma and James Keay
9:50 - 10:35

COFFEE BREAK

10:35 - 11:00 Use of theory-guided neural networks to perform seismic inversion
Jonathan E. Downton and Daniel P. Hampson
11:00 - 11:25 A comparison of Machine Learning methods for seismic inversion to estimate velocity and density
Yexin Liu
11:25 - 11:50 Data Driven Models Using Machine Learning Methods to Predict Well Productivity in Montney Formations
Shengnan Chen and Shuhua Wang

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