During the latest years, some gas condensate fields have been discovered in the Peruvian Amazonian rainforest. One of these fields is an anticline structure controlled by a reverse fault norwest - southeast; a wildcat well, drilled at the top, tested gas and condensate from NIA, NOI and ENE reservoirs; commercial decision on developing this gas condensate field will strongly depend on estimating its hydrocarbon potential. Structural, rock-type, fluid-type and reservoir performance uncertainties are closely linked to 2D seismic grid and restricted information implicit to this exploratory well. A conceptual compositional simulation model was built for this gas-condensate field during its early stage to integrate seismic interpretation, petrophysical analysis, fluid behavior, and eventually, to come up with a reasonable estimation of resources, predict production performance and visualize development options. Structural uncertainties were addressed by testing some geology maps, which were prepared with different velocity models for time to depth conversion. In addition, rock properties were sensitized with multiple deterministic and probabilistic executions taking into account ranges and cut offs of analogous fields. The fluid was characterized by means of two equations of state Peng-Robinson of three parameters and clustered into 13 pseudocomponents (for NlA and ENE-NOI reservoirs); despite sampling was not strictly representative, a calibration process was successfully done with experimental observations of PVT tests to account for gas, condensate, as well as, condensable gases production. And, DST results were matched to a VLP well-model. A holistic analysis was carried out by integrating compositional simulation to sensitize production performance, and montecarlo simulation to evaluate for field size uncertainty when estimating gas and liquid resources. As a result, a matrix was designed to visualize and evaluate the most feasible development alternatives: depletion, depletion supported by a medium-size aquifer, partial and full cycling. 3D-Seismic and further appraisal wells will be useful towards reducing uncertainty of simulation model output and improving development decision-making process. Copyright 2010, Society of Petroleum Engineers.