Supreme Cortex Engineering Analysis Platform

Physics-grounded analysis for production support and process engineering teams investigating plant events from historian exports. Screen data readiness, confirm tag context, surface likely causes, and review optimization opportunities in an engineering-led workflow.

98.2% Synthetic Blind-Test Accuracy
~35 Min Synthetic Median Detection from Fault Onset
Simplified crude distillation column A three-tray crude distillation column with an overhead cooler, reflux vessel and return line, plus a bottoms pump sending product away.

Turn Historian Exports into Investigation Evidence

Production support and process engineering teams routinely reconstruct plant events from large historian exports. Supreme Cortex organizes that work into a traceable workflow, from data readiness and tag context through physics-grounded analysis and engineering review.

The Investigation Burden

  • Fragmented Evidence: Relevant signals are spread across large historian exports with site-specific names, units, intervals, and data gaps.
  • Engineering Bandwidth: Investigating an upset means hours of aligning event windows and reviewing hundreds of trends alongside competing production priorities.
  • Repeatability: Reasoning, assumptions, and dispositions are difficult to preserve when each investigation is assembled manually.
Business consequence: slower root-cause work, delayed production decisions, and repeated analysis effort.

The Engineering Analysis Approach

  • Readiness Screening: Checks time coverage, sampling, gaps, and required channels before analysis begins.
  • Engineer-Confirmed Context: Maps client tags to canonical process roles and engineering units for review and confirmation.
  • Physics-Grounded Analysis: Develops fault hypotheses, supporting evidence, recommended checks, and optimization opportunities for engineer adjudication.
Target outcome: faster, evidence-grounded investigations and corrective decisions.

Process Units Modelled and Validated on Synthetic Data

Three demonstrated equipment families are currently available: low-pressure storage tanks with transfer pumps, forced-draft air-cooled heat exchangers, and fired heaters. Real-plant historian validation is the next milestone.

Storage & Transfer

Storage Tank & Pumps

Demineralized water vessel with blanket nitrogen gas padding, overpressure safety systems, and multiple duty/standby transfer pumps.

  • 9 Critical Faults: Loss of feed, overfill, padding valve stuck, padding gas loss, PVRV leak, heater loss, sensor freezes (LIC/PIC).
  • Pump Health: Monitors bearing wear (ISO 10816/API 670 vibration & temperatures) across up to 4 parallel pumps.
  • Staging Optimization: Evaluates the lowest-energy staging configuration that can hold the production target for engineering review.
Thermal Systems

Air-Cooled Heat Exchangers

A fin-fan cooling bay that cools a hot single-phase process stream by drawing ambient air through the bundle with multiple axial fans.

  • 8 Target Faults: Tube-side fouling, air-side fin fouling, tube plugging, fan belt slip, motor overload, motor cooling loss, blade imbalance, bearing wear.
  • Dimensionless Features: Normalizes ratios against design basis to ensure identical fault signatures on any size cooling bay.
  • VFD Speed Review: Identifies over-cooling conditions and evaluates lower fan-speed targets for engineering review.
Combustion & Heat Transfer

Fired Heaters

A multi-pass, fuel-gas-fired furnace with process coils, natural draft, flue-gas monitoring, and per-pass temperature and flow measurements.

  • 8 Target Fault Families: Coil coking, convection fouling, high excess air, combustion-air starvation, fuel-gas shortfall, flame impingement, pass-flow maldistribution, and abnormal draft.
  • Furnace Performance: Evaluates coil outlet temperature, coil differential pressure, stack conditions, draft, oxygen, fuel use, and thermal efficiency against the design basis.
  • Per-Pass Screening: Isolates pass-flow and tube-metal-temperature concerns when the required plant instrumentation is available.

Blind Synthetic Validation

The prototype was tested without access to the injected faults against 30 days of synthetic DCS logs produced by a separate physics simulator.

Synthetic validation only. Real-plant historian validation is the next milestone.

98.2%

Synthetic Blind-Test Accuracy

Correctly categorized fault families and rotating-equipment bearing wear modes across all blind runs.

35m

Median Detection Delta

Detected and classified anomalies in a median of 0.58 hours (~35 minutes) from initial fault event onset.

The Cross-Examination Protocol

1
Decoupled Data Generation

A separate simulator generated 30 days of 60-second logs with injected sensor dropouts, random noise, and non-standard tagging.

2
Blind Analysis

The analysis engine evaluated the logs without knowing the locations, durations, or types of faults injected.

3
Separate Automated Scoring

A separate scoring program compared the analysis reports against the hidden ground truth to calculate accuracy and timing.

Historian Investigation Preview

Replay an illustrative historian event window on the left and review a physics-grounded investigation finding on the right.

Historian Replay: Sensor Trend (Inputs)
Current Temp
Investigation Finding Asset: HX_201 (Exchanger)
For Review

HX_201 Fan Belt Slip

The analysis identified evidence consistent with fan belt slip on cooling fan bay HX_201. Fan rotational speed dropped, motor stator current unloaded, and the bundle cooling approach increased within the event window.

Approach Temp
+14.2 °C
Motor Current
-18.4 A
Illustrative Confidence
High
Engineering Review Targets:
  • Check belt condition, tension history, and maintenance records for motor bay HX_201.
  • Review standby fan capacity and operating history before selecting a response.

Built for Client-Controlled Industrial Data

Supreme Cortex supports on-premises analysis within client-approved infrastructure. Client IT defines the deployment environment, access controls, update path, and data-handling policy.

On-Premises Deployment

The licensed platform installs on client-approved local servers or hypervisors within the facility network, so process analysis runs where the data lives. Our separate hosted demonstration is invite-gated and purges inactive uploaded-run data after four hours.

Offline by Default

The licensed platform can operate without internet access. Signed updates can be imported locally or downloaded through a client-approved outbound connection.

Corporate Data Integrity

Process data remains within client-approved infrastructure. The optional update channel is limited to retrieving signed release packages through a client-approved outbound connection.

Ahmed Sherief

Ahmed Sherief

Founder & CEO

Calgary, Alberta, Canada

Engineered by Operational Experience

"We built Supreme Cortex to help process engineers turn historian data into engineering evidence. It combines operating experience with physics-grounded analysis so teams can investigate events faster, test likely causes, and make production decisions with a traceable technical basis."

20 Years in Process Operations

Led global plant commissioning, dynamic start-up, field operations, and control room (DCS) troubleshooting across downstream refineries, LNG plants, and midstream processes.

Optimization & Debottlenecking

Specialized in plant start-ups, control loop troubleshooting, equipment debottlenecking, and process performance optimization based on chemical engineering principles.

Contact us

Send us your questions or request access to a live demo. We will get back to you by email.

Email Inquiries

info@supreme-cortex.ca

Headquarters

Calgary, Alberta, Canada