f Machine Learning Based Workflows in Exploration and Production

In this presentation we are going to cover a mapping between existing E&P workflow components and their data science based counterparts - as we have developed or envision them. We present one example from the geophysics domain, where deep neural nets are used to accelerate the seismic interpretation process (GeoDNN), and one example from the reservoir engineering domain (AutoSum) where machine learning is used to analyze are large ensemble of reservoir models.