Case studies
Evidence, not promises.
A selection from hundreds of engagements across 16 countries. Documented outcomes, with client identities anonymized where required; RTOP and the delivery methodology remain identified.
- $1.5B+
- in client value analyzed through RTOP
- 6
- featured in detail below
- 1k–10k
- scenarios per operational decision
Featured engagements
Six engagements that delivered measurable value.
Each names the method it ran on, not only the industry. That rigor is not industry-specific.
-
Oil & Gas Scenario optimization
$52.5M
increase in annual margin
Production optimization: 25,000 scenarios, $52.5M annual margin
- RTOP
- Physics-based simulation
- AI-driven analysis
-
Mining Financial & probabilistic modelling
$200M+
NPV improvement
Plan optimization: 46 plans × 30 years, $200M+ NPV improvement
- RTOP
- Stochastic NPV models
- Financial & probabilistic analysis
-
Oil & Gas Reliability economics
$1.5M
saved per well
ESP selection: $1.5M saved per well
- SubPUMP
- Monte Carlo simulation
- Weibull lifecycle economics
-
Oil & Gas Predictive maintenance
19%
net revenue improvement
ESP failure prediction: 19% net revenue improvement
- SubPUMP
- MATLAB
- Physics-informed ML
-
Oil & Gas Constrained optimization
$120k
per month margin increase
Blending optimization: $120k/month margin increase
- Machine learning (Python)
- Live sensor / SCADA integration
- Excel financial model
-
Mining Digital twin
20,000+
scenarios evaluated
Crushing, rail & ship digital twin: 20,000 scenarios evaluated
- AnyLogic
- RTOP Scenario Engine
- Integrated digital twin
Additional engagements
Plus these — qualitative wins where the headline stat lives in operator confidentiality.
- Oil & Gas Dashboards for downstream refining Shipping & crude · costs quantified
- Oil & Gas Steam distribution — 5-well pad sensitivity Aligned · to historical SOR
- Oil & Gas Pipeline slugging prediction Commercial · product delivered
- Oil & Gas ES-SAGD steam/solvent blend forecast Best blend · identified
Ready to build
Asked for by industry. Ready to deliver.
Capabilities operators have requested from R2 — tooling and methodology in place, ready to engage. Validated demand, not speculative capability.
-
Oil & Gas
Frac failure prediction
Predict frac equipment failure early enough to stage parts and crews.
- Physics-informed ML
- SCADA streams
-
Oil & Gas
Torque & drag analysis (drilling)
Real-time torque and drag for directional drilling — catch issues before stuck pipe.
- Custom drilling analytics
- Real-time SCADA
-
Oil & Gas
SAGD facility sensitivities
Steam quality, injection profile and separation, run as sensitivities under real uncertainty.
- HYSYS
- MATLAB
- AnyLogic
-
Oil & Gas
ESP operating range
Defensible operating envelopes for ESPs — the range that maximizes lifecycle NPV.
- SubPUMP
- Monte Carlo simulation
-
Oil & Gas
Well test analysis
Automate well-test analytics — flag anomalies and feed allocations downstream.
- Custom analytics pipelines
- OSI PI
-
Oil & Gas
Production downtime forecasting
Forecast unplanned downtime across a portfolio — the risk dashboards leave invisible.
- Physics-informed ML
- Historical SCADA training set
-
Oil & Gas
Steam chamber formation
Steam chamber formation evaluated in context of reservoir uncertainty rather than a single deterministic case.
- HYSYS
- AnyLogic
- Custom thermal models
-
Oil & Gas
Electrothermal models
Electrical, thermal and reservoir physics coupled in one model for heating-based recovery.
- MATLAB
- Custom multi-physics solvers
-
Mining
Haul truck optimization
Routing, cycle time and dispatch — the bottlenecks dispatch software never sees.
- AnyLogic
- Simio
- Custom routing engine
-
Mining
Bitumen processing
Extraction, separation and upgrading modelled end-to-end, under real feed uncertainty.
- HYSYS
- AnyLogic
- PetroSim
-
Mining
Mine plan optimization
Strategic and tactical mine plans evaluated under uncertainty, across a 20-30 year horizon.
- AnyLogic
- Financial & probabilistic analysis
- Custom mine planning