Industry Solutions
Oil, Gas & Energy
Saudi Arabia's energy sector is the backbone of the economy and a key pillar of Vision 2030 diversification. We deliver SCADA system integrations, IoT sensor platforms, predictive maintenance solutions, and AI-driven operational analytics for upstream, midstream, and downstream operations.
Why this matters
Saudi energy operators are running the world's most consequential upstream and downstream assets while simultaneously being pushed toward AI-driven optimisation, predictive maintenance, and tighter emissions accounting under Vision 2030. The platforms that win in this environment bridge legacy SCADA / DCS / historian systems into modern analytics layers without putting production OT anywhere near the public internet — a constraint most generic AI vendors don't understand. Mantiqi builds the OT-respecting data + analytics + AI layer that turns existing sensor and historian data into uptime, throughput, and safety wins.
Industry Challenges
Legacy SCADA systems that lack modern analytics capabilities
Unplanned downtime costing millions in lost production
Manual safety compliance and incident reporting processes
Fragmented data across drilling, refining, and distribution
Our Solutions
IoT-enabled real-time monitoring and anomaly detection
AI-powered predictive maintenance to prevent equipment failure
Automated safety compliance dashboards and incident tracking
Unified data lakes connecting operational technology with IT systems
How we deliver
- 01
OT/IT discovery + vendor scoping
Weeks 1–3
We map your current OT footprint (SCADA, DCS, historians, CMMS) and the IT analytics layer it'll feed. Aramco PSCM / SABIC vendor registration scoped where relevant. NCA / IEC 62443 cybersecurity zoning model agreed before a single packet crosses the OT/IT boundary.
- OT/IT architecture map
- Vendor scoping (Aramco PSCM / SABIC equivalent)
- Cybersecurity zoning model (IEC 62443 + NCA)
- Use-case scorecard (impact × feasibility)
- 02
Data foundation + historian bridges
Weeks 4–10
Time-series ingestion from OSIsoft PI / Honeywell / Emerson / Yokogawa historians into a unified data lake. Tag-mapping, unit harmonisation, and quality flags so downstream models don't drift on dirty data. Read-only OT-side connectors with full audit trail.
- Time-series data lake + tag registry
- Read-only historian bridges (PI / Honeywell / Emerson)
- Data-quality monitoring + lineage
- OT-network segmentation respected
- 03
Predictive + safety analytics
Weeks 9–16
Predictive-maintenance models trained on your historian data — pump cavitation, compressor surge, heat-exchanger fouling, bearing temperature anomalies. Models are evaluated against held-out failure events with false-positive bounds before being given the right to emit CMMS work orders. Safety-compliance dashboards layered on top.
- Predictive-maintenance models with evaluated baselines
- CMMS work-order integration (gated by model confidence)
- Safety-compliance + incident dashboards
- Emissions / energy-intensity reporting
- 04
Scale + handover
Ongoing
Quarterly model + tag refresh as the asset base changes, training for plant engineers to own day-to-day operations, and incremental capability additions (drone-based inspection ingestion, vision models for equipment defect detection, optimisation under new commodity prices). NCA + SDAIA annual reviews keep the posture intact.
- Quarterly model + tag refresh
- Plant-engineer training + runbooks
- Drone + vision model integration (optional)
- Annual NCA + SDAIA review support
What clients see
OT-network integrity preserved
Read-only historian bridges with IEC 62443 zoning — production OT never on the public internet
Failure events caught before they emit work orders
Models gated on evaluated false-positive bounds before being trusted to dispatch CMMS work
Unified analytics across upstream + downstream
One data lake, one tag registry — drilling, refining, distribution analysed in the same plane
Compliance & regulators we work with
Sets policy direction for upstream, midstream, downstream and renewables across the Kingdom. Strategic platforms align against current programme priorities (Saudi Green Initiative, hydrogen, renewables).
Aramco's Procurement, Supply Chain Management standards and Vendor ID register govern who can supply digital solutions into Aramco operations. Scoping vendor registration up-front avoids late-stage tender disqualification.
The NCA's ECC framework plus its operational-technology / industrial-control-system controls apply to anything touching production OT. Zoning, segmentation, and audit logging map to specific controls.
The international standard for industrial automation and control-system security. Zoning, conduit modelling, and security-level rating frame OT/IT integrations regardless of vendor.
Operational data, employee data, and any AI models trained on Saudi production data sit under SDAIA's policy umbrella. Particularly load-bearing where cross-border processing or external model training is in scope.
Each major operator carries its own engineering, safety, and digital standards on top of national rules. Tenders specify which sets apply — scope during discovery so the integration plan matches the operator.
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Frequently asked questions
Oil, Gas & Energy questions our team hears most often.
Three layers usually apply simultaneously. The Ministry of Energy sets sector policy. Saudi Aramco's Procurement, Supply Chain Management (PSCM) standards and Vendor ID register govern who can supply digital solutions into Aramco operations — non-Aramco operators (SABIC, ENOWA, ACWA Power) carry their own equivalents. SDAIA frames AI and data policy, and the NCA Essential Cybersecurity Controls apply to anything connecting to operational technology.
Yes. Bridging legacy SCADA / DCS / historian systems (OSIsoft PI, Honeywell, Emerson, Yokogawa) into modern analytics layers is the most common engagement shape — unified data lake, time-series ingestion, anomaly detection, and predictive-maintenance models running on top. The integration respects OT-network segmentation and the IEC 62443 / NCA control-system controls; we don't put production OT on the public internet.
Sensor data and historian trends feed a model that flags equipment degradation ahead of failure — pump cavitation, compressor surge, heat-exchanger fouling, bearing temperature anomalies. We instrument the model with grounded eval sets and false-positive bounds so it earns the right to issue work orders into the CMMS. See our predictive maintenance for oil & gas guide for the patterns we use.
We coordinate with operators' procurement teams on the specific work being scoped — Aramco PSCM Vendor ID requirements, SABIC, ENOWA, and ACWA Power equivalents are scoped up-front so registration paths run in parallel with build, not after. For tenders requiring active vendor registration before submission, we'd disclose status clearly during initial conversations.
We zone according to IEC 62443 and the NCA's industrial-control-system controls. OT-side connectors are read-only, no inbound traffic from IT or internet. Each cross-zone packet is audited. Where the use case requires write-back to OT (e.g. dispatching a CMMS work order), it goes through an air-gapped or strictly-controlled path that the plant cybersecurity team reviews and approves.
Yes. Modern IoT sensors (vibration, acoustic, temperature) and drone-based inspection footage (vision models for corrosion, leak detection, flare-stack analysis) feed the same data lake as the historian bridges. The combination produces richer predictive-maintenance signals than historian-only models — especially for assets where the historian density is low.
Plan on 16–24 weeks for a typical engagement: 3 weeks of OT/IT discovery and vendor scoping, 8–12 weeks of build (data lake + historian bridges + first predictive-maintenance model), 5–9 weeks of evaluation, integration testing, and cybersecurity review before production cut-over. Multi-site deployments scale linearly. Aramco-PSCM tenders may add lead time for vendor registration where not yet complete.
Common patterns: historian → data-lake bridges with unified tag registries, predictive-maintenance models for rotating equipment, drone-and-vision ingestion for flare-stack / corrosion / leak monitoring, OT-respecting analytics dashboards for plant engineers, safety-compliance + incident workflows, emissions/energy-intensity reporting under Saudi Green Initiative scope, and Aramco / SABIC / ENOWA tender-prep platforms. Engagement scope is set during discovery based on which assets are load-bearing.
Still have questions?
Our team is ready to help. Reach out and we'll get back to you as soon as possible.
Free oil & gas analytics readiness review
Ready to Transform Your Oil, Operations?
Send us a brief on your asset base, historian setup, and the use cases you want analytics on. We'll send back a written review covering OT/IT zoning options, Aramco PSCM / NCA / IEC 62443 alignment, the right historian-bridge architecture, and the 2-3 highest-leverage predictive-maintenance models to build first.
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Oil, Gas & Energy Articles
Expert insights and technical guides for oil, gas & energy businesses in Saudi Arabia.
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