Atlas engagements follow a structured, engineering-led process, executed directly in the plant
Atlas engagements follow a structured, engineering-led process, executed directly in the plant
Atlas engagements follow a structured, engineering-led process, executed directly in the plant
Work is performed within existing control systems to identify where performance has drifted and correct it at the source.
Work is performed within existing control systems to identify where performance has drifted and correct it at the source.
Performance is restored where it breaks down
Performance is restored where it breaks down
Plants rarely fail all at once. Performance drifts. Models lose alignment. Constraints widen. Manual intervention increases until instability becomes part of normal operation.
Atlas is built to operate inside that reality. We work directly within the control environment to identify where performance has degraded, isolate the mechanism behind it, and correct it in live operation, so improvements hold under real conditions, not just in analysis.
Plants rarely fail all at once. Performance drifts. Models lose alignment. Constraints widen. Manual intervention increases until instability becomes part of normal operation.
Atlas is built to operate inside that reality. We work directly within the control environment to identify where performance has degraded, isolate the mechanism behind it, and correct it in live operation, so improvements hold under real conditions, not just in analysis.
Inside the system
Work within plant data, APC diagnostics, and control environments already in place.
At the source
Identify where performance has drifted and correct it directly within the control system.
In live operation
Validate changes and confirm measurable improvement in performance.
Execution under live operating conditions
Execution under live operating conditions
A structured sequence for diagnosing, correcting, and validating performance in the plant.
DIAGNOSTIC
ROOT CAUSE
IMPLEMENTATION
VALIDATION
01
Isolate the problem
We start from a specific operating issue.
This typically appears as instability, variability, inefficient transitions, or rising operator intervention.
Inputs include:
Event timelines and recent operating incidents
Real-time and historical data from plant historians (typically 2–3 years)
APC and control loop performance diagnostics (CLPM)
Alarm and operational reports
Direct input from operators and engineers
We work directly with unfiltered Level 2 and Level 3 data within existing control environments.
The objective is to isolate where performance is breaking down and why.
In operation, these are the signals we correct:
In operation, these are the signals we correct:
increasing process instability
declining APC effectiveness
off-spec production
rising manual intervention
unstable control behavior
longer, inconsistent transitions
variability across the unit
increasing process instability
declining APC effectiveness
off-spec production
rising manual intervention
unstable control behavior
longer, inconsistent transitions
variability across the unit
increasing process instability
declining APC effectiveness
off-spec production
rising manual intervention
unstable control behavior
longer, inconsistent transitions
variability across the unit
increasing process instability
declining APC effectiveness
off-spec production
rising manual intervention
unstable control behavior
longer, inconsistent transitions
variability across the unit