Technical Program

Tuesday, May 14 – Afternoon
Machine Learning - AI - Big Data II
Room: Glen Room 206
Chair(s):  Farrukh Akram & Edward Little
1:25 - 1:50 An active role for quantum computation in exploration seismology
Shahpoor Moradi, Daniel Trad, and Kristopher A. Innanen
1:50 - 2:15 Convolutional Neural Network with Transfer Learning for Automatic Velocity Analysis
Min Jun Park and Mauricio D. Sacchi
2:15 - 2:40 Probabalistic Clustering of a Discrete Fracture Network from Microseismic Data
Scott H. McKean, Jeffrey A. Priest, Jan Dettmer, David W. Eaton
2:40 - 3:20


3:20 - 3:45 Application of Independent Component Analysis and Gaussian Mixture Models in micro-seismic signal detection
Amir Shamsa and Mehdi Paydayesh
3:45 - 4:10 A deep learning perspective of the forward and inverse problems in exploration geophysics
Jian Sun, Zhan Niu, Kristopher Innanen, Junxiao Li, Daniel Trad
4:10 - 4:35 Deep learning approach to automatically detect faults and fractures from magnetic data using convolutional neural network (CNN)
Hassan H. Hassan and Serguei Goussev

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