Principles and techniques of petroleum reservoir description. Subsurface data from geological and engineering sources. Random variables and probability distributions. Linear and non-linear regression. Univariate and bivariate descriptions. Measures of heterogeneity. Estimation techniques. Kriging and sequential Gaussian simulation. Contour and image maps and cross-sections. Averaging and scale up of reservoir properties. Correlation of saturation functions. Deterministic and probabilistic reserve estimation methods. The lab sessions will be devoted to problem solving using statistical, geostatistical and reserve estimation softwares.

Pre-requisites: PETE313