Seismic Horizon Detection with Neural Networks, part 1

Inrecent years, machine learning and specifically deep learning has captured the attention of all industries, and Oil & Gas is no exception. Obviously, the end goal of petroleum companies is to extract oil; yet, one must first find prominent locations inside the Earth to do so. That is where seismic exploration comes in: it is the study of subterranean formations to help us locate structures underneath. There are a lot of stages of seismic exploration, from processing the raw acoustic signal traces into a regular fixed-grid volume to detecting subterranean facies inside of it. Neural networks could immensely reduce the time taken by these procedures while simultaneously improving the accuracy of results. <a href="https://medium.com/data-analysis-center/seismic-horizon-detection-with-neural-networks-part-1-5dec9ff7361a">Learn More</a>