AI connected to reservoir physics, not separated from it.
Scientific AI/ML and contextual assistance support interpretation while keeping seismic evidence, physics and uncertainty visible.
Artificial Intelligence & Machine Learning for Geoscience
AI connected to seismic evidence, subsurface physics and reservoir context.
Seis2Dyn
Reservoir-change intelligence
Supports estimation and interpretation of dynamic reservoir change from 4D evidence, constrained by wells, rock physics and reservoir context.
- ΔP estimation
- Saturation-change estimation
- Probabilistic interpretation
- Rock-physics constraints
- Reservoir context
Scientific ML & Automation
Workflow acceleration
Machine-learning support for repetitive, high-volume scientific tasks, keeping the physical constraints of the reservoir in place.
- Classification
- Pattern recognition
- Property estimation
- Automated QC
- Inversion support
- Workflow automation
SeiSyn AI Assistant
Expertise at the point of work
Answers theory, methodology, project and software questions inside the working context of the project, and abstains when the evidence is insufficient.
- Theory and methodology support
- Project-aware questions
- Software and workflow guidance
- Multidisciplinary interpretation support
- Guided workflows
- Knowledge retention
Scientific AI/ML estimates reservoir quantities under physical constraints. Contextual AI assistance supports the user at the point of work. The two are kept distinct, and neither is presented as a black box.