The oil industry in Brazil has gained new momentum with the recent discovery of large oil reserves in deep waters. Between 2011 and 2015 numerous investments in the oil production chain are expected in order to support the scale of this new operation. Given this context, investment decisions in the oil industry downstream supply chain gain importance and the use of an analytic tool that encompasses its complexity becomes crucial. Thus, this master thesis proposes a mixed linear programming model (MILP) that was developed to allow evaluation of different investment alternatives in the existing logistics network, whether they approach expanding the transportion, berthing, handling or storage capacities. These features of the model were evaluated through two case studies that use real data of the Brazilian oil and derivatives logistic network. The first case study evaluates the feasibility of the project to expand sections of a pipeline that supplies several distribution centers and exposes the interdependence of investment in each one of them. The second case study evaluates the synergies in two projects: the first one to expand the berthing capacity of vessels in a marine terminal and the second to increase the transport capacity of the pipeline linking it to a distribution center. In both studies a sensitivity analysis of Net Present Value of the project relative to its investment cost was performed, allowing to justify the choice of the decision-maker.