EnergyComputer vision-style pattern recognition and segmentation for seismic horizon picking and subsurface boundary prediction in volumetric seismic dataproduction-oriented and operationally mature within the described project, with cnn-based workflows deployed on an hpc platform for real regional interpretation work.

ML-assisted seismic horizon interpretation for regional offshore exploration in the Kwanza Basin

Machine learning helps geoscientists trace key underground layers in seismic data much faster and more consistently than doing the work entirely by hand.

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SeisNova

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Source

https://www.slb.com/resource-library/case-study-with-navigation/di/accelerating-seismic-interpretation-in-the-kwanza-basin