About the product
Neuroseis revolutionizes seismic processing by blending deep learning with physics-informed architectures. It streamlines and strengthens every step of the seismic workflow—from first-break picking to full waveform inversion (FWI)—by embedding wave equation physics directly into neural networks. This reduces dependency on uncertain models while improving data consistency and result accuracy. The Neuroseis suite is designed for both land and marine applications and addresses some of the most noise-sensitive and labor-intensive stages in seismic processing.
Key Benefits
- End-to-end enhancement: Covers full seismic processing chain with AI-driven tools.
- Physics-informed intelligence: Reduces reliance on manual modeling via embedded wave equation operators.
- High efficiency: Automates time-consuming tasks like velocity picking and demultiple.
- Improved accuracy: Delivers cleaner, more interpretable data through advanced noise suppression.
- Versatile deployment: Compatible with land and marine seismic data.
Applications
- Automated first-break picking for faster velocity analysis
- Ground-roll attenuation in land data
- Deblending of overlapping sources
- Demultiple to suppress multiples in marine data
- Random noise suppression for clearer interpretation
- Velocity picking for model building
- Full waveform inversion (FWI) using physics-based deep learning for better subsurface imaging