AI WEBINAR SERIES

s#3: Transfer learning for DCN based fault probability model

Past
Conventional analytical algorithms like Coherence fail in complex geological settings and does not solve the problem of huge amount of routine work when interpreting faults in seismic data. One of the most promising algorithms that can be a big help for geoscientist is Deep Convolutional Neural Networks and this webinar shows you how we can approach seismic structural interpretation challenges using Machine Learning.