PROJECTS

We are experts in developing computer models that simulate the performance of complex systems in a top-down approach.

The objective of such models is to simulate in the more efficient way and just develop complexity where and when it is necessary.

These models are use to gain a diagnostic understanding of the system, ask "what if" questions, and evaluate alternative designs, policies, and plans.

Our experience shows that with creativity most of the problems can be addressed under a new conceptual model that is more efficient and cost effective.

If you are interested in viewing more details of the project bellow, please email us, we can arrange a web presentation if necessary

Forecast of pollution transport in water

The objective here is to simulate the transport of solute contaminants in water. Here we storage a radioactive source underground several hundreds meters, with time the local protection is corroded by water and the dissolved elements are transported via water until the surface.

We studied the influence of the uncertainty in several physical parameters (the values describing the physical behavior of the model).

This model considered both near field with physical process (i.e, diffusion in clay, advection in porous media) occurring at the scale of meters and far field transport parameters with transport process occurring at the kilometer scale. A post-treatment study of the most influent parameter for the overall uncertainty of the system was developed and concluded that the diffusion coefficient was the single major uncertainty driver of the system.

Decision analysis

We developed a river water quality model to compare the cost and river water quality for different investment options. The model compared different scenarios for implementing waste water treatment plants (Wwtp) that discharged to a river and the corresponding impact in the river water quality. The costs are function of the discharge concentration in the river and of the population linked to the Wwtp. The client obtained a decision tool that quantified his several alternatives based on both the environmental and financial impacts.

Reliability analysis

Simulation of the solid flow in a Turbine to study the influence of the internal failure of its components in the overall behavior of the engine as well as its performance.

This kind of model works under a statistical approach of the reliability ; the model will find itself the composition of failure modes of the components that could cause the failure of the entire engine based in the individual failure rate of each component. The system need to be modeled with all physical relationship between his parts.

Risk analysis

Risk assessment of an underground oil spill and the potential impact in the groundwater, soil and air. We developed a model for the multiphase flow (air, soil, water) to study the range of possible mass transfer for a specific field situation.