Transform continuous passive-source recordings into high-resolution subsurface images. An integrated GUI workflow from raw data to NMO stack — no scripting required.
DeepSeis integrates every step of the ambient noise processing chain into a single, intuitive graphical interface.
Complete desktop application with visual data preview, parameter tuning, and real-time result display. No command-line expertise needed.
Load SEG-Y, MATLAB (.mat), and SAC directory structures directly. Automatic station scanning and manifest caching for TB-scale datasets.
Automated quality classification using FK-domain spectral features and waveform analysis. Flag anomalous traces before they contaminate your results.
FK-domain directional filtering suppresses dominant noise energy while preserving signal across all azimuths for cleaner Green's function estimates.
Frequency-domain cross-correlation with adaptive stacking windows. Virtual shot generation with full station-pair management and progress tracking.
Normal-moveout stacking with CSV-based receiver geometry. Export results as SEG-Y or publication-ready images with multiple colormap options.
A guided, visual workflow that takes you from data loading to final stacked profile.
Point to your SAC directory or load SEG-Y/MAT files. DeepSeis automatically scans stations, builds a manifest, and creates optimized cache slices for fast processing.
Review data slices visually and apply AI-assisted classification. Filter out noisy panels using directional index (DI) analysis and manual labels.
Run frequency-domain cross-correlation across all station pairs. Monitor progress in the background queue while reviewing intermediate results.
Apply NMO correction with your receiver geometry, preview stacked profiles, and export results as SEG-Y for further interpretation or as images for publication.
DeepSeis is used worldwide for mineral exploration, basin analysis, and deep crustal imaging.
Passive-source imaging of deep crustal structures associated with gold mineralization, revealing fault systems controlling ore deposition at depths exceeding 15 km.
Ambient noise tomography for hydrocarbon exploration, mapping basement topography and sedimentary layer interfaces with receiver arrays of 200+ stations.
Deep crustal and upper mantle structure along the suture zone, using long-period ambient noise cross-correlation to image subduction-related deformation.
Whether you're processing a small array or a continental-scale deployment, DeepSeis provides the tools to turn ambient noise into actionable subsurface images.
📧 jinkang06@gmail.com