Performance analysis
Evaluate centrifugal compressor behavior under actual operating conditions instead of relying on design-condition assumptions.
From performance diagnostics to optimization and predictive maintenance, CMap supports engineering decisions across the centrifugal compressor lifecycle.
CMap turns corrected performance prediction into practical engineering insight for real plant operation, supporting decisions that affect reliability, efficiency and availability.
Evaluate centrifugal compressor behavior under actual operating conditions instead of relying on design-condition assumptions.
Identify efficiency degradation trends and support maintenance planning using objective performance deviation analysis.
Verify expected compressor behavior and surge-related operating limits when inlet conditions and gas composition change.
Support inspections, anomaly analysis and root cause investigations with expected-versus-measured performance evidence.
Analyze alternative operating scenarios and support efficiency improvement, load sharing and plant operating strategy evaluation.
Support operating strategies aimed at recovering available compression margins and reducing unnecessary flaring events.
Assess compressor capability under new process conditions and support plant upgrade, revamping and capacity studies.
Assist technical evaluation during compressor selection, purchase, sale or operational re-assessment using consistent performance predictions.
Measured compressor performance can only be evaluated correctly when compared against expected values calculated at the same operating conditions.
CMap can support engineering teams from early studies to operation, monitoring and troubleshooting, creating a consistent reference for compressor performance evaluation.
CMap is developed for centrifugal compressors operating in complex process environments where gas composition and thermodynamic conditions can vary significantly over time.
Use CMap to evaluate compressor performance where it matters: under actual operating conditions, with objective comparison and engineering-grade prediction.