Connect reservoir evidence, physics and model decisions.
SeiSyn brings seismic interpretation, quantitative interpretation, wells, rock physics, reservoir simulation and AI/ML into one integrated reservoir-intelligence environment.
Seismic evidence is the entry point. Reservoir intelligence is the product. Better decisions are the outcome.
One connected path from evidence to decision.
Explore the platform by the reservoir question you need to answer, then open the technical detail only when you need it.
- 01
Observe
Learn more →Seismic · QI · Wells · QC
Build trustworthy seismic and well evidence.
- 02
Understand
Learn more →Petrophysics · Rock Physics · PEM · Seis2Dyn
Connect observed response to reservoir properties and dynamic change.
- 03
Predict
Learn more →Dynamic Reservoir Model · Sim2Seis
Predict the seismic response of reservoir-model states.
- 04
Update
Learn more →DDFS · ES-MDA · 4D History Matching
Use observed evidence to update the dynamic model.
- 05
Decide
Learn more →Probability · VOI · Reservoir Decisions
Turn uncertainty and model context into ranked decisions.
From data to decision without breaking the scientific context.
- 01
Data
- Seismic
- Wells
- Production
- Simulation
- PVT
- Geology
- Tracers
- 02
Interpret
- Base Map
- 2D Canvas
- 3D Canvas
- Petrophysics
- Attributes
- 03
Understand
- Rock Physics
- Fluid Substitution
- PEM
- Geomechanics
- 04
Predict
- 4D Feasibility
- Simulator-to-Seismic
- Dynamic Scenarios
- Observed vs Synthetic
- 05
Decide
- Probability
- Uncertainty
- VOI
- Reservoir Monitoring
- Reporting
See SeiSyn in Action
Real workflows. Real scientific context. One integrated environment.
From Data to Decision
Every workflow answers a reservoir question.
4D QC & Preconditioning
- Base and Monitor seismic
- Conditioned volumes, repeatability metrics and QC evidence
- Can we trust the observed 4D change?
QI / AVO / Inversion
- Wells, angle stacks and seismic amplitudes
- Elastic attributes and quantitative interpretation
- What changed seismically?
Rock Physics / PEM
- Logs, fluids, pressure and saturation context
- Expected elastic and seismic response
- What reservoir mechanism could explain the response?
4D Feasibility
- Reservoir scenarios and seismic quality
- Detectability and feasibility insight
- Is 4D monitoring likely to add value?
Seis2Dyn AI/ML
- 4D seismic, wells, rock physics and reservoir context
- ΔP and saturation-change estimates and interpretations
- Where is the reservoir changing, and what may be driving it?
Sim2Seis
- Dynamic reservoir model and PEM
- Synthetic seismic and predicted 4D
- Does the model predict what we observe?
4D History Matching
- Production, pressure, tracers and 4D seismic
- Posterior ensemble and updated dynamic model
- How should the reservoir model change?
Probability / VOI
- Posterior evidence, detectability and uncertainty
- Ranked opportunities and decision support
- What should we investigate or act on next?
Technical capabilities
Explore the connected tools that support interpretation, reservoir physics, prediction, model update and decision workflows.
Science you can inspect. Results you can trace.
SeiSyn preserves the scientific context behind every result, from source data and project geometry to assumptions, uncertainty and derived-product lineage.
- Input provenance
- Project geometry
- Units and domains
- Vintage identity
- Assumptions
- Workflow parameters
- Quality control
- Uncertainty
- Derived-product lineage
See how SeiSyn connects your 4D evidence to reservoir decisions.
Bring seismic, wells, production and reservoir-model context into one integrated scientific workflow.