Application of machine learning in the analysis of seismic data to identify tectonic faults in various seismogeological conditions

Abstract

The article presents the results of a comparative analysis of algorithms for automatic interpretation of tectonic faults based on seismic data recorded in various seismogeological conditions. For each type of geological section (platform, salt tectonics, marine data), a cube of the probability of violations by an analytical algorithm and using trained neural networks was calculated.

Keywords

• seismic exploration of mogt-3d
• tectonic faults
• neural networks
• machine learning