About Us

The Laboratory of Scientific Computing and Visualization (LCCV) emerged from a history of close collaboration and partnership with PETROBRAS, through its Research Center (CENPES), and with other major Brazilian universities.
Constantly researching efficient techniques for numerical simulation of physical problems, LCCV seeks for solutions to engineering problems using Computational Mechanics tools in the fields of Computational Modeling, Development and Application of Numerical Simulators, High Performance Computing, Visualization and Scientific Computing.
LCCV has been developing high level researching activities, related to various fields, including: simulation and analysis of discrete media, buried ducts, dynamic mooring lines and risers, extreme load and fatigue, composite materials, sources of error, dynamic crack propagation, geomechanics (including pre-salt), scientific visualization and geometric modeling. Our strategy is based on modern programming techniques, allowing the construction of portable and extensible modules which are easily incorporated to other tools.

R&D - Research and Development

Constantly researching techniques increasingly robust to numerical simulation of physical problems, the LCCV directs its actions in the pursuit of engineering problem solving using resources of Computational Mechanics in Computational Modeling area, Development and Numerical Simulation Applications, High Performance Computing and Scientific Computing. Our research areas are composed of:

Wells analysis: Perform up analytical and numerical studies on drilling processes, completion and production of oil and gas wells.

Geomechanics: In order to assist in the study and well drilling project in layers of salt rock. The LCCV has developed a support system for the development of well drilling.

Mooring Lines and Risers: The LCCV conduct analyzes of mooring lines and risers through study and computer simulation of the dynamics of lines.

Advanced Materials: Preliminary study of the technical and economic feasibility of using risers of heterogeneous materials on farms in deep waters, in order to enjoy the benefits of each constituent material.

Discrete Element Method: The discrete elements are used to represent granular media, rocks or even molecules.



  • william-lira
    William Lira

    Doctor in Civil Engineering

  • setton
    Eduardo Setton

    Doctor in Civil Engineering

  • eduardo_nobre
    Eduardo Nobre

    Doctor in Civil Engineering

  • adeildo
    Adeíldo Júnior

    Doctor in Civil Engineering

Contact us:

Laboratory of Scientific Computing and Visualization

Federal University of Alagoas

Campus A.C. Simões - Av. Lourival Melo Mota, s/n,

Tabuleiro do Martins - Maceió/AL - Zip Code: 57072-970

Phone: +55 (82) 3214-1303