The process of petrographic analysis aims to help oil and gas experts in
building a prediction model which would better characterize and explain the
behavior of the hydrocarbon reservoir. However, making informed decisions
regarding a good characterization requires exploration and integration of
very large amounts of data presenting many challenges in which high
dimensionality is the most important one. We present PetroVis, our
visualization prototype which we developed with the goal of supporting the
visual analysis of petrographic data. PetroVis incorporates the use of
multidimensional visualization techniques coupled with statistical methods in
order to enable identification, classification, validation and interpretation
of petrofacies. We developed PetroVis continuously guided by the feedback and
suggestions from our domain collaborator.