The combination of modern software architecture, machine learning engines and scalable computation enables interactive machine learning and inference on massive seismic data, resulting in months of time saved in the quest for energy discovery. Differently from the highly inefficient approach that is commonly used, we remove the tedious work of converting seismic cubes into small images, instead we enable Machine Learning to dirextly ingest 3D seismic. This enables geo scientists to directly teach the machine learning engine, instantly correct the inference mistakes, and extract full features from the whole 3D seismic in a matter of minutes (or faster). This converges data science and geoscience in a way never shown before and it will change the way geoscientist will work in the future. What we are showing is not research but commercially available technology that is already utilized by a few well known oil companies. (We will try to have one of the oil companies to co- present).
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