Operations Simulation Engineered for Saudi Arabia Industrial Plants

FlexSim, AnyLogic, and Simio discrete-event simulation that answers the operational questions the Jubail Industrial City (east coast petrochem) in Saudi Arabia actually fight over: throughput, bottleneck, utilisation, and resilience under disruption.

Why Saudi Arabia operators run discrete event simulation before they commit capex

Across the Aramco upstream-to-downstream chain, the SABIC integrated petrochemical complexes, and the Vision 2030 giga-projects, a validated discrete-event simulation is what turns a capex proposal from an argument into evidence. Saudi Arabia's brownfield power-systems work concentrates around Aramco's upstream / downstream complex (Ghawar · Abqaiq · Ras Tanura · Jubail · Yanbu) and SABIC's integrated petrochemical platforms. Vision 2030 has added the Saudization-compliant industrial-cluster build-out, mining at Ma'aden, and the giga-project corridor. Aramco and SABIC's capital stock represents the largest brownfield electrical engineering market in the Middle East. Vision 2030 adds the giga-projects, but the recurring revenue is in the 5-year audit cycle on the existing plants · and that is where the brownfield digital engineering offer fits.

How we structure Saudi Arabia simulation engagements

Process is captured to BPMN 2.0 and ISA-95 conventions. Input data validated to ASTM E2476 / VV&A practice. Output statistics confidence-bounded; no single-run results in the deliverable. Where the operator references Aramco SAES (Saudi Aramco Engineering Standards) · Aramco GI (General Instructions) · IEC 60909 · IEC 61936 · NFPA 70E (referenced in SAES-P-100 series), the engineering reference layer aligns; the simulation methodology is invariant.

What you receive · the six simulation deliverables for Saudi Arabia

Resilience + Disruption Modelling

Random-failure modelling of the critical equipment fleet with MTBF / MTTR from the operator CMMS. Plant performance under cascading failure scenarios. The deliverable answers "how resilient is this plant" with a defensible number.

Sensitivity Analysis on Key Inputs

Where input data has measurement uncertainty (a recurring reality in Saudi Arabia brownfield plants), the deliverable includes sensitivity sweeps on the top input drivers so the operator sees which assumptions move the answer the most.

Model Hand-Off + Run-Book

The FlexSim / AnyLogic / Simio model handed over with a run-book the operator's engineering team can use to run their own experiments. Where the operator subscribes to the Wistwin platform, the model integrates with the digital-twin layer directly.

As-Is Process Capture + Validation

Process flow captured on the live plant, walked with operations, modelled in FlexSim / AnyLogic / Simio. As-Is model validated against 4-6 weeks of historian data so the baseline matches reality before any what-if begins.

Throughput + Bottleneck Analysis

Steady-state throughput under base-case conditions, with bottleneck identification at the resource level. Where the bottleneck is constraint-stacked (two resources alternating as the constraint), the model surfaces this with utilisation curves rather than averages.

Scenario Evaluation + What-If

Capex options modelled side-by-side (debottleneck option A versus capacity-expansion option B versus operational-change option C). Each scenario reports throughput, utilisation, queue length, and Service Level confidence with bounds.

Three brownfield simulation engagements we have delivered in Saudi Arabia

Three Saudi engagements (across Aramco upstream, SABIC petrochem, and Ma'aden mining) that show the working pattern:

Aramco upstream (Eastern Province)

a gas plant with 13.8 kV intake and 3 motor-driven gas-injection compressor trains.

The engagement: SAES-P-114 compliance review found motor starting voltage dip below threshold during simultaneous restart; transient stability study confirmed and revised starting sequence.

SABIC olefins (Jubail)

a 1.5 MTPA cracker with 115 kV grid tie and 13.8 kV distribution.

The engagement: Harmonic measurement at the PCC outside SEC code limit because of the variable-speed drive fleet; filter design and harmonic mitigation program.

Ma'aden mining (northern Saudi)

a phosphate beneficiation plant with 33 kV captive substation and 5 MVA crushing-mill drives.

The engagement: Arc flash incident at the mill MCC initiated full-plant 70E-equivalent re-baselining; HCIS-aligned safe work practice rollout.

Simulation Evaluation in Saudi Arabia · the questions buyers actually ask

Buyer questions we hear consistently across Aramco SAP qualification, SAES conformance, and Saudization conversations:

Are you registered in the Aramco SAP vendor system?

We work through Aramco-approved engineering channels and partnerships. Specific SAP vendor codes depend on project scope; we operate on direct Aramco contracts and as engineering subcontractor under Tier-1 EPCs registered with Aramco.

Does the study satisfy SAES-P / SAES-J review at the SAP / OCC level?

Yes. The deliverable maps to the relevant SAES standards (SAES-P-100 series for power systems · SAES-J for instrumentation · SAES-K for hazardous area) with a conformance matrix at the front of the report.

Can you support the IKTVA local content target?

Yes. Where IKTVA is contractually required, we structure the engagement so that local-content engineering hours fall within Saudi-based subcontractors or partners. The CEng MIE FIE technical authority remains with our chartered engineers.

Tell us what scenario you need modelled in Saudi Arabia. A simulation lead responds inside 24 hours.

Scope Your Plant

Discrete Event Simulation. Saudi Arabia.