ABSTRACT
Reservoir characterization plays a fundamental role in the oil and gas exploration and production industry. Stochastic methods are very useful in the early stages of a field’s life for modelling reservoir heterogeneities when well data are too sparse. This paper provides an overview of reservoir characterization based on stochastic reservoir models applied to the assessment of an oilfield. The methods adopted consider the geological knowledge about the likely shape and size of the sand bodies and incorporate information about the relationships between properties at neighbouring locations. The methods allow building a stochastic model of an oil and gas reservoir to improve the estimation of reserves and support decision making, reflecting not only the knowledge of the internal characteristics of the reservoir but also the uncertainties associated. The modelling of Xiaermen Oilfield is used as case study.
