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From Data to Decisions — From Ideas to Impact

Operational decisions you can defend.

RTOP combines physics-based models, operational data and AI, running thousands of scenarios per decision.

10+ yrs
RTOP in production
$1.5B+
Client decisions analyzed

Built and supported by R2. Deployed where it creates measurable operational value.

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Capabilities

Five things RTOP does.

  1. 01

    Predict before it breaks.

    Physics-informed predictive models for production, equipment failure, and anomaly detection — validated against real intervention histories.

    Stop reacting. Start predicting.

  2. 02

    Run thousands of scenarios.

    Stochastic scenario engine generates thousands of candidate operating strategies for each major decision. Probabilistic economic, operational, and reliability inputs. Defensible — not deterministic guessing.

    1k–10k scenarios per decision.

  3. 03

    Lower operating costs.

    Tune chemical use, equipment cycles, fleet routing, and workflows. RTOP finds the bottleneck and shows how to clear it.

    Improvement quantified per engagement.

  4. 04

    Connect operational silos.

    RTOP can integrate data from 50+ operational, financial, and enterprise sources — SCADA, historians, ERP, and finance systems — into a single defensible model. RTOP integrates with the systems your engineering and operations teams already use.

    One model, all your silos.

  5. 05

    Make decisions you can defend.

    Full audit trail. Every recommendation traceable to inputs, constraints, and scenarios evaluated. When auditors ask why a decision was made, RTOP provides the evidence trail.

    Defensible — to ops, finance, and audit.

How it works

See it work.

RTOP holds enterprise workflow structure and surfaces what’s live.

See what it produced — 10 engagements

RTOP interface — process map

RTOP process map editor: a decision workflow built from trigger, process, activity and decision nodes, with a shapes palette, model layer navigation and an attributes panel.
Decisions are modelled as a process map, not a script. Each node carries its own inputs, constraints and economics, so one map answers many scenarios.

RTOP interface — overview diagram

RTOP overview diagram: an expandable hierarchy of enterprise work cycles, each node linked to the model that evaluates it.
The same structure viewed as the enterprise hierarchy it maps to — every work cycle traceable to the model that evaluates it.

Structure & logic

How it reasons.

Integrations

Lands in the tools your team already opens.

Output lands in the tools your team already opens — no extra dashboard tax.

Operational

  • Historians
  • SCADA
  • Process data

Financial & enterprise

  • ERP systems
  • Finance systems

Data & scripting

  • Spreadsheets
  • Analytics languages

Dashboarding

  • BI platforms
  • Dashboards

Financial integration

RTOP prices every scenario from the finance systems of record — cost, capital and revenue structures pulled live, not a spreadsheet copy that drifted three quarters ago.

R2 IP

The parts we built ourselves.

The algorithms R2 wrote — what the platform contributes that an integration layer alone would not.

  • Stochastic scenario generation
  • Weibull economics
  • Failure prediction
  • Allocation
  • Fixed / variable cost modelling
  • NPV economics

Engagement output — Weibull economics

Six-panel output: failure-time scatter by failure case, daily revenue against probable opex and probable income before tax, Weibull probability density and cumulative density functions, and gross, flat and probable NPV compared.
Weibull economics as it actually runs: failure history fitted to a distribution, then carried through revenue, opex and NPV, so the probable case is priced rather than assumed. From an electric submersible pump reliability engagement.

Outcomes

Evidence, not promises.

$1.5B+

In client decisions analyzed through RTOP, worldwide.

10+ yrs

RTOP in continuous production with operating clients.

50+

Operational, financial, and enterprise data sources integrated.

Engagement output — plan optimization

Four overlaid plan-option outcome distributions with their cumulative probability curves, showing the current plan's range against three alternatives.
Candidate plans, each simulated across thirty years, plotted as outcome distributions rather than single numbers. The operator's existing plan is the red band; the plan the simulation selected sits to its right. Axis values withheld. Read the engagement

AI strategy

Where RTOP fits in your AI strategy.

  1. Scoping Layer

    InputsBusiness ProcessesOutputs
    • Map enterprise
    • Identify constraints
    • Define decision variables

  2. AI Analysis Layer

    RTOP

    Integrator & Analyzer

    AI-driven analysis across the models.

    Generate ScenariosRun SimulationsAnalyze Results
    Enterprise Decision Optimization

  3. Model & Data Foundation

    • Reservoir Model
    • Injection Model
    • Surface Network
    • Economic Model

    RTOP Data Integration

    SCADA · Field tickets · Production · Regulatory

    Typical Outcomes

    1,000–10,000 scenarios evaluated · 50+ integrated data sources · Faster strategic decisions

  4. Optimal Operating Strategy

    ProductionMarket StrategyProfitability

What the AI does

  • Searches the scenario space

    Thousands of candidate operating strategies per decision — more than a team can walk by hand.

  • Ranks what it finds

    Outcomes ordered on NPV and risk-adjusted return, with the inputs behind each one retained.

  • Flags the anomalies

    Deviation from operating history surfaced against the models, not against a threshold someone guessed.

What it doesn’t

  • Replace the physics

    Reservoir, hydraulic, process and economic models stay deterministic and validated against real history.

  • Invent the constraints

    Capacity, regulatory and operational limits come from your engineers. RTOP optimizes inside them.

  • Make the call

    Every recommendation gets engineering review before it leaves R2.

12+ proprietary algorithms 50+ integrations 6 R2-IP disciplines See what’s inside

Process

From problem to physics to decision.

The five-stage delivery sequence R2 has refined across ten years of RTOP deployments.

  1. 01

    Scoping

    Problem definition, decision variables, and constraint mapping with your engineers.

  2. 02

    Data Integration

    Plug into the data and tools you already use. SCADA, ERP, financials, historical archives.

  3. 03

    Physics-Based Models

    Build the underlying physics, hydraulics, economics, and reliability models. The foundation RTOP draws on.

  4. 04

    Scenario & Optimization Engine

    Run thousands of scenarios with probabilistic inputs. Rank outcomes on NPV and risk-adjusted return.

  5. 05

    Analysis & Monitoring

    AI-driven analysis across the model outputs. Continuous monitoring, anomaly detection, decision support.

Demo

See RTOP on your data.

30 minutes with an R2 engineer. Bring a real operational question; we’ll show you what RTOP would surface.

We’ll respond within one business day. No marketing spam.

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