We are investigating the injection of oil-in-water microemulsions as a strategy to increase reservoir recovery factors.

We are developing an optimizer based on dynamic reservoir models to support the placement of new wells and maximize asset utilization.

We are studying the potential to increase production using polymer injection as an enhanced oil recovery method.

We are evaluating the impact of polymers on emulsion formation and investigating mechanisms to mitigate their effects, contributing to a more efficient application of the technology.

Andromeda Rocket Design is a university group dedicated to rocket engineering.

We are developing methodologies and applications for quantitative seismic interpretation, contributing to more accurate analyses and better-informed decisions.

We are developing software to compare seismic surveys acquired at different points in time, enabling analyses of reservoir pressure and fluid saturation.

We are analyzing the formation of solid precipitates during H2S sequestration reactions, with the potential to increase process efficiency and reduce operational costs.

We are developing a routing solution for support vessels, focused on optimizing costs, transit times and offshore technical support.

We are developing hybrid artificial intelligence and physics-based models to estimate well flow rates in real time and improve operational reliability, including in scenarios where sensors are unavailable.

We are developing a methodology that integrates experiments and simulations to quantify and mitigate hydrate blockage risks, enhancing operational safety and continuity.

Reação Offshore is a free educational program that trains and prepares new professionals for the offshore job market.

The IARA Project aims to develop a robotics solution for hydrate removal in oil flowlines.

We are evaluating the impact of different salinity levels in injection water to increase reservoir recovery factors.

An innovative initiative that integrates data and artificial intelligence to enhance monitoring, marine biodiversity conservation and environmental management, using the Tamar Project as a case study.

We are developing a software platform based on a data mesh architecture and artificial intelligence tools to integrate and process data from different initiatives focused on marine biodiversity monitoring and conservation.