JOURNAL ARTICLE

Seismic event detection on shot gathers with U-net segmentation

Abstract

Summary We have applied a U-net style image segmentation to seismic shot records to classify specific features, such as groundroll and reflections. The objective of this approach is to facilitate dedicated processing and quality control that can be applied to segmented subsets of samples in a shot gather. The results obtained using the field dataset demonstrate the feasibility of the concept within a single seismic survey.

Keywords:
Shot (pellet) Segmentation Event (particle physics) Computer science Artificial intelligence Image segmentation Computer vision Pattern recognition (psychology) Geology

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Topics

Seismic Imaging and Inversion Techniques
Physical Sciences →  Earth and Planetary Sciences →  Geophysics
Seismology and Earthquake Studies
Physical Sciences →  Computer Science →  Artificial Intelligence
Drilling and Well Engineering
Physical Sciences →  Engineering →  Ocean Engineering

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