Help us shape the first truly useful AI orchestrator for geoscience projects. This short survey (5–7 minutes) will help us understand your team, your workflows, and whether GeoManager AI-Agent is a good fit for your seismic interpretation projects. By answering these questions, you’ll get a chance to join a small group of early adopters, influence our roadmap, and be among the first to try Geoplat’s new AI‑powered experience in real projects.
Identifying seismic facies is essential for transitioning from seismic images to field geology. This process enables the interpretation of depositional zones, sediment transport pathways, and the evolution of sedimentary basins—often long before drilling commences.
Qualitative seismostratigraphic analysis provides rapid identification of geobodies and seismic facies.
However, like any visual method, it has a number of limitations:
datasets the capabilities of human perception
due to strong human bias
(up to months) for manual horizon picking
This approach integrates the interpreter's expert vision and regional expertise directly into the model.
From several hours to 2-3 days
1 or 2 parameters only per procedure
- Stacked seismic data of any quality;
- Manual seismic facies picks on 2-5 sections of the volume
into standard data formats for further interpretation in different software
to adjacent territories with a similar geological structure
of seismic facies in 3D volume
For seismic facies analysis up to 10 times
of geological assessments by 50%
Through the delineation of prospective oil and gas migration pathways
