About the product
Seismic Image Noise Attenuation (S.I.N.A.) is a powerful deep learning solution designed to improve the clarity of seismic data by boosting the signal-to-noise ratio (SNR). In seismic interpretation, noise can mask critical subsurface features—making accurate analysis difficult and time-consuming. S.I.N.A. addresses this by automatically recognizing and suppressing multiple types of noise - random, coherent, structural, colored, and Gaussian - while preserving the integrity of original geological signals. The result is a cleaner dataset that unlocks hidden features and enables more reliable, faster, and cost-effective exploration and reservoir analysis.
Key Benefits
- Higher SNR: Enhances signal clarity for improved geological interpretation
- Preserved Geology: Maintains the integrity of seismic signals while denoising
- Efficient Workflow: Accelerates processing and reduces manual intervention
- Deeper Insights: Uncovers subtle features often lost in traditional processing
Applications
- Seismic preprocessing and post-processing
- Fault and horizon interpretation
- Reservoir characterization
- Subsurface feature enhancement for exploration teams