Focus on environment and the uncertain economy are concerns for the energy industry and put demands on optimizing production to cut costs and maximize return on investment. MVA are successfully used for performance prediction, understanding complex processes, planning maintenance and forecasting. Measuring product quality using MVA models is critical in providing consistent high quality products.

	New Opportunities Searching for new resources or new processes to produce more energy from what is available, so as to meet the rising demand. Fast evaluation of raw material quality and adaptation of the process to available raw material is a competitive advantage that is well served by qualitative modeling and Design of Experiment.
	Modeling demand Ensuring the extraction of raw material with a specified quality and purity is a key to control the cost of production of oil derived products. On-line analyzers that ensure real-time measurements of this quality using adequate models are source of
	Climate change issues Understanding the variation in energy demand is also a key tool for optimizing production, it can be achieved using multivariate tools like regression analysis.
	Quality Assessment Limiting environmental impact in the production and use of energy is both cost saving and environmental friendly. Running a Principal Component Analysis (PCA) and regression help to get a general overview help in understanding complex processes and determine leverages.

Project Examples

Implementation and improvement of process control with multivariate analysis Media: Octane number prediction
Multivariate Calibration for Process Analyzers
Chemometric Analysis of raw material and classification
At-line process control using a NIR spectrometer
NIR raw material identification
Process understanding (Read : Asphaltene Aggregation from Crude Oils and Model
Systems Studied by High-Pressure NIR Spectroscopy)

Services

Design of Experiment expertise
Process optimization expertise
Data analysis expertise
Statistical and chemometrics Training