AI Turnaround Planning
For Refineries & Petrochemicals
Cut shutdown duration, optimize scope, and de-risk contractor coordination using AI on your Primavera P6, SAP PM and inspection data.
Quick Answer
NeoBram delivers AI turnaround planning for refineries and petrochemical plants that optimizes STO scope, predicts schedule slippage, and coordinates contractors using Primavera P6, SAP PM and historical turnaround data - typically cutting shutdown duration 5-15%.
Why This Matters
Every Day of Shutdown Costs Millions.
A refinery turnaround can cost $30-100M and stop production for 4-8 weeks. Scope creep, contractor delays and unexpected inspection findings routinely add 10-20% to duration and budget.
AI changes the planning equation: scope optimization models rank work orders by risk and ROI, schedule risk AI flags slip-prone paths weeks ahead, and contractor coordination agents catch resource conflicts before they bite.
We deploy turnaround AI that plugs into Primavera P6, SAP PM and your inspection history - not a separate tool. Planners keep their workflow; the AI runs in the background and surfaces risks they would otherwise miss.
Our Tech Stack
Production-Grade Tools We Deploy
Planning & scheduling
ML & analytics
Inspection data
Integration
Architecture Deep-Dive
How We Build It
Scope optimization
AI ranks every work order by risk-of-not-doing, ROI and dependency, helping STO leads cut non-essential scope without compromising integrity.
- Risk-based inspection scoring per equipment item
- Work-order clustering to batch similar tasks
- Defer / accelerate recommendations with justification
- What-if scope scenarios with cost and duration impact
Schedule risk prediction
Models trained on past turnarounds flag activities likely to slip 4-6 weeks before they do, with named root causes and mitigation suggestions.
- Per-activity slip probability with confidence
- Critical-path risk heatmap updated daily
- Monte Carlo end-date distribution
- Suggested float buffers for high-risk chains
Contractor & resource coordination
Detects double-booked crews, missing permits, late material deliveries and crane conflicts before they hit the schedule.
- Crew-availability conflict detection across contractors
- Permit-to-work bottleneck forecasting
- Material readiness tracking against schedule
- Long-lead item alerts with escalation paths
Lessons-learned capture & reuse
Each turnaround feeds a RAG knowledge base so next-cycle planners get instant access to what worked, what failed and why - from prior STOs at this and other sites.
- Auto-extracted lessons from STO closeout reports
- Searchable by equipment, contractor, failure mode
- Recommended risk register entries for new STO
- Cross-site benchmarking on duration and cost
Data Security, Governance & Safety
Enterprise AI demands enterprise-grade security. Every solution we deploy follows strict data sovereignty, safety, and compliance standards.
Data Sovereignty
- Your data stays in your infrastructure - always
- Deploy on your cloud (AWS, Azure, GCP) or on-premise
- No data leaves your environment
- Full compliance with regional data residency requirements
Model Safety & Guardrails
- NVIDIA NeMo Guardrails for content safety
- PII detection and redaction with Presidio
- Prompt injection defense and input sanitization
- Hallucination detection and factual grounding
Access Control & Audit
- Role-based access control for all AI systems
- Immutable audit logs for every interaction
- SOC 2 Type II, ISO 27001 compliance frameworks
- GDPR, HIPAA, and industry-specific regulations
Responsible AI
- Bias testing with Fairlearn and AI Fairness 360
- Model explainability via SHAP and LIME
- Transparency reports for stakeholders
- Continuous fairness monitoring in production
FAQ
Frequently Asked Questions
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