Machine learning (ML) holds great potential to aid in the process of the interpretation of seismic data. There are many examples of complex geology which can benefit from effective ML tools and workflows to augment interpretations and shorten the cycle time of interpretation products. Humans can devote years achieving the status of interpretation expert and most projects cannot afford to invest long periods of time in their producing the needed elements of the geologic context and earth parameters for subsurface management. Effective ML techniques can be designed to produce quality interpretations efficiently. This section is intended to illustrate some of...

You do not have access to this content, please speak to your institutional administrator if you feel you should have access.