Data Science and Machine Learning SIG
Wednesday, November 11, 2020
11:00 am - 12:00 pm
About the Event:
After a brief introduction to Machine Learning (ML), Altay Sansal will take us through a novel ML workflow using Neural Networks applied to Quantitative Seismic Interpretation (QI). Topics covered will include modern techniques like data augmentation, feature engineering, model parameter optimization and combining the power of multiple models to improve generalization of the final predictive model.
About the Speaker:
Altay Sansal has a master’s degree in Geophysics from University of Houston. He has years of experience in seismic imaging, quantitative interpretation (QI) and has extensive knowledge in modeling, statistics, machine learning, and inverse theory. Altay was a part of QI and seismic imaging teams at Geotrace Technologies, Geokinetics, and SAExploration. He managed QI teams at Geokinetics and SAExploration and was leading the R&D advisory boards at both companies. After this experience, he joined Quantico Energy Solutions and is currently working on applications of Neural Networks to quantitative interpretation.