Process Modelling

Our experts at your disposal

  • Reactor Modelling

  • Homogeneous Systems

  • Heterogeneous Systems

  • Evaporation

  • Distillation

  • Stripping

  • Polymers

  • Crystallisation

  • Pore Diffusion

  • Thermodynamics

  • Heat and Mass Transfer

  • Transfer from bulk fluid to particles

  • Adsorption on catalyst surface

  • Multiface interactions

  • Numerical mathematics

  • Parameter Estimation

  • Data Reconciliation

  • Operator training simulators

  • OPC

  • PDE Systems

  • Vapour / Liquid Interface

Some of the sectors we are specialized in

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Oil & Gas

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Water Treatment

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Waste Treatment

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Process Modelling process

Model Building

Our team of experts (in close cooperation with your company’s technology team) will deliver a first-principles mathematical models of process or equipment of any type using Mobatec Modeller advanced dynamic process modelling platform.
Model validation is one of the most important and knowledge demanding steps in delivering a highly predictive process models. In Mobatec, we make sure that this step is always given all the attention it needs. That is why, the end result is model with high fidelity status – matching the real process steady-state and dynamic behavior data. This kind of models can provide reliable data on which risk analysis and investment decisions can be made.

Model Validation

Model Simulations

After the model validation step is performed, model can be used for simulation of process possible steady-states and all dynamic responses between the steady-states. Process operating procedures can be fully tested and optimal (cost reduction – safety augmentation) procedures identified. Validated models are especially valuable to be used for model-based innovations because of their high accuracy. Mobates Modeller disposes with best in class numerical solvers, enabling fast model initialization and convergence like no other software present on the market.
Validated models are considered as first-class entities, and due to their cognitive and methodological values serve as fundamental tools of understanding, analysis, design, operation, control and managing of real engineering processes and processing systems. So, it goes without saying that this kind of process model will pay itself off very quickly considering all the benefits it provides. Further return on investment can be gained by deploying process models across your teams of engineers. The delivered process models have a wide range of use, and it will never ‘collect dust’.

Return of Investment