Services

Services for owners, operators and investors of energy and industrial assets.

From asset data to engineering decisions.

We combine engineering models, operational data and machine learning to understand asset performance, identify emerging issues and optimize production.

Performance Evaluation

From the data to the output

STEP 1Collect the dataOperating records, design data and maintenance history.
STEP 2Expected performanceAn engineering model of what the asset should deliver.
STEP 3Compare and quantifyActual vs. expected, with losses and their causes.
OUTPUTPerformance analysisA solid analysis of the actual performance, and of how it will change with different actions.

What is delivered

  • Performance benchmarking
  • Loss and degradation analysis
  • Expected vs. actual production
  • Asset-level performance indicators
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Predictive Maintenance

From the data to the output

STEP 1Collect the dataSCADA, sensors, operating and maintenance history.
STEP 2Normal behaviorModels of how each machine behaves at each load.
STEP 3Detect deviationsAnomalies and degradation trends over time.
OUTPUTNext critical eventWhen the next critical event is expected, and what can be changed to avoid it.

What is delivered

  • Anomaly detection
  • Failure and degradation indicators
  • Remaining-performance assessment
  • Maintenance prioritization
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Production Optimization

From the data to the output

STEP 1Model the systemEquipment, process variables and operating conditions together.
STEP 2Find the constraintWhat actually limits production, and what does not.
STEP 3Test scenariosOperating strategies and equipment configurations.
OUTPUTInefficiencies and improvementAn analysis of the inefficiencies and of the potential improvement, either minimizing new investment or directing it to the most effective one.

What is delivered

  • Operational modeling
  • Dispatch optimization
  • Constraint analysis
  • What-if and investment scenarios
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Decision support

Builds on the outputs of Performance Evaluation and Production Optimization

From the data to the output

STEP 1Take the resultsExpected performance, constraints and scenarios from the analyses above.
STEP 2Technical-economic modelProduction, costs and returns under each scenario.
STEP 3Sensitivity and riskHow far the result moves when the assumptions change.
OUTPUTDecision-ready assessmentExpected yield, economics and risk range, in a form decision makers can act on.

What is delivered

  • Technical and economic feasibility
  • Asset acquisition assessment
  • Sensitivity and scenario analysis
  • Investment risk assessment
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Enhanced decisions, grounded in real data

How the analysis works with incomplete data →

Have an asset that isn’t performing as expected?

Let’s determine what the data can tell you.

Discuss an Asset →