Seismic interpretation has traditionally been a time-intensive, expert-led activity—especially in underexplored or legacy basins where data formats vary and acquisition gaps are common.

SeisSense™ introduces intelligent automation and AI-driven processing that transform seismic workflows by bridging legacy archives with next-generation exploration needs.


What Makes SeisSense Unique?

  • 2D line merging for vintage data: Integrates scattered legacy lines into a coherent interpretation-ready dataset.
  • 2D-to-3D cube reconstruction: Builds volumetric models from historical 2D lines using predictive algorithms.
  • 3D-to-5D seismic interpolation: Enhances continuity and regularity across 3D surveys using advanced 5D techniques.
  • AI-driven QC of SEG-Y headers and traces: Detects and corrects metadata inconsistencies to ensure trace integrity.

These no-code workflows reduce manual work, minimize human error, and standardize geophysical processing across national repositories and operator teams.


The Power of 5D Seismic

  • 5D interpolation helps eliminate aliasing and irregularity in 3D seismic volumes.
  • Fourier-based transformation and ML models combine to reconstruct data gaps and enhance signal clarity.
  • Benefits include improved azimuthal coverage, inversion quality, and structural confidence.
  • Operators can reduce acquisition costs while improving readiness for AVO and inversion workflows.

SeisSense™ brings automation, resolution, and scale to seismic processing—enabling faster, cleaner, and more accurate subsurface interpretations across exploration and development teams.


Real-World Example: West African Basin

  • A national data repository deployed SeisSense™ across legacy 3D volumes to generate 5D-ready datasets.
  • Interpretation time was reduced by 62%, unlocking structural insights previously hidden in noisy or incomplete volumes.
  • The platform helped geoscientists achieve better confidence in attribute analysis and prospect definition.

Key Takeaways

  • Modernizes large seismic archives with AI and ML workflows.
  • Delivers high-fidelity interpolation, trace QC, and header corrections at scale.
  • Connects outdated data formats with next-gen E&P interpretation and analytics.