This webinar will present a hands-on example of how to forecast production curves, including the effect of uncertainty and noise in the data and in the model. We will use the tools provided by the DecisionTools Suite to: (i) Understand historical production data (ii) Propose model and estimate parameters for the historical production data (iii) Build a forecasting model (including risk) (iv) Simulate the production curve using Monte Carlo Simulation (v) Analyze the simulation results and discuss how to best present them