SeiSynTechnologies
SeiSyn: Integrated Subsurface Decision IntelligenceIntegrated Reservoir Intelligence

Turn seismic evidence into better reservoir decisions.

SeiSyn connects seismic interpretation, quantitative interpretation, rock physics, well data, reservoir simulation and AI/ML to understand reservoir behaviour, test model predictions and support better field decisions.

One platform. One scientific context. From seismic evidence to reservoir intelligence.

Request a Technical DemoSee SeiSyn in Action
  • Seismic & QI
  • Rock Physics / PEM
  • Simulator-to-Seismic
  • Reservoir Model Update
  • AI & ML
  • Better Decisions
  1. 01Understand

    Understand reservoir change.

    Connect seismic response with wells, pressure, saturation and reservoir physics.

  2. 02Predict

    Test what the model predicts.

    Convert dynamic-model states into predicted seismic response and compare them with observed evidence.

  3. 03Update

    Update the model with evidence.

    Integrate production, pressure, tracers and seismic evidence to improve the dynamic reservoir model.

  4. 04Decide

    Support better reservoir decisions.

    Use integrated evidence, uncertainty and model context to guide surveillance, calibration and field decisions.

Why SeiSyn

One reservoir. Too many disconnected workflows.

Seismic, wells, rock physics and reservoir simulation often live in different tools. SeiSyn keeps evidence, physics, models and decisions connected in one scientific context.

Disconnected evidence

  • Seismic
  • Wells & Petrophysics
  • Rock Physics / PEM
  • Reservoir Simulation
  • AI & ML
SeiSyn | Integrated Reservoir Intelligence

Connect · Interpret · Predict · Update

One scientific context

Better Reservoir Decisions

From evidence to action

  • Understand reservoir change
  • Test model predictions
  • Update reservoir models
  • Prioritize actions
  • Fewer handoffs
  • · Preserved context
  • · Traceable assumptions
  • · Better decisions
Product evidence

See SeiSyn in Action

Real workflows. Real scientific context. One integrated environment.

Interpret seismic, wells, reservoir grids and dynamic properties in one spatial context.

Demonstration using the public Sleipner CO₂ Reference Dataset. Attribution and license details →

Flagship workflows

Understand. Predict. Update.

  1. 01Understand

    Seis2Dyn

    What is changing in the reservoir?

    AI/ML-assisted reservoir-change estimation from seismic evidence, wells, rock physics and reservoir context.

    Learn about Seis2Dyn
  2. 02Predict

    Sim2Seis

    Does the model predict what we observe?

    Convert dynamic reservoir states into elastic properties and synthetic seismic, then compare prediction with observed evidence.

    Explore Sim2Seis
  3. 03Update

    Closed-Loop Model Update

    How should the model change?

    Combine production, pressure, tracers and seismic evidence through DDFS + ES-MDA to update the dynamic reservoir model.

    Explore Closed Loop
Business value

Connected science. Clearer reservoir action.

  • Faster studies

    Reduce disconnected handoffs and repeated setup.

  • Better reservoir understanding

    Connect seismic, physics and reservoir context.

  • Better model calibration

    Compare model predictions directly with observed evidence.

  • Better decisions

    Support surveillance, injection, model update and recovery decisions.

How to start

Bring your reservoir challenge.

  1. 01Technical discussion
  2. 02Focused demonstration
  3. 03Dataset / workflow evaluation
  4. 04Deployment

See how SeiSyn connects seismic evidence, reservoir physics and dynamic models in one decision workflow.

Request a Technical Demo