Ensemble insights and analytics
Challenge
- Bringing past dynamic simulation data to life.
- Expediting time from results to decision making using interactive dashboards.
- Ensemble-level view on simulation data to assess risk and opportunities.
- Huge simulation output data available but not utilized.
- Analysis of simulation results at the ensemble level is difficult and time consuming.
Solution
Our ensemble insights and analytics solution combines artificial intelligence and machine learning, utilizing data-driven techniques and a physics model based on material balance to eliminate the need for reservoir simulation models, and provide a more efficient alternative to traditional methods.
“Previously, our workflow took three to six months—it can now be shortened to a one-month study. It’s now automatic and robust enough to deliver our next development plan.”
Subsurface manager
Results
Fully integrated propagation of static and dynamic uncertainties.
Probabilistic approach to uncertainty quantification.
Customizable ML-proxy for affordable generation of the conditioned posteriors.
Fully integrated decision system for confident decisions.
Improved model quality and prediction accuracy.
Improved productivity reducing time to decisions.
