## Parameter estimation for stochastic models of fluvial channel reservoirs

Stochastic modeling techniques are being used increasingly to describe the geometries of fluvial channel reservoirs as a basis for field development decisions such as optimal well configuration. One of the main problems associated with the application of such tools is the inference of the necessary input parameters to describe the models. It is difficult to estimate the lateral continuity and stacking pattern of the sandstone reservoirs. This paper will focus on the application of outcrop data sets for inferring realistic input parameters. Input to two different stochastic models is described: one simple model (a binary truncated Gaussian field), and onemore »