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Reservoir description is rapidly increasing with the help of advancing computing possibilities. Although machines become more efficient, it is necessary to have accurate input data and plenty of data points to achieve reliable results. However, in the case of both old Romanian hydrocarbon reservoirs and some of the new ones, not too many data points are available. In this situation, no matter the computing power of the machine or the computing algorithm, detailed reservoir description is limited. This paper extend...

Reservoir heterogeneity creates difficulties for every stage of production, the effects being more pronounced when little data is available. This is the case for many old and abandoned Romanian oil reservoirs that have very poor reservoir characterization. This paper discusses the efficiency of two prediction methods, ordinary kriging and artificial neural networks, for porosity as an routine core analysis parameter, with the hope of improving reservoir characterization by creating more accurate distribution maps....