PREDICTION OF IN-FIELD OIL AND GAS RESERVES IN UNDEREXPLORED PETROLEUM PROVINCES
V.R. Livshits
Institute of Petroleum Geology, Siberian Branch of RAS, 3 prosp. Akad. Koptyuga, Novosibirsk, 630090, Russia
Keywords: Petroleum province, hydrocarbon reserves, in-field reserves, Bayesian estimator, Monte-Carlo imitation, statistical performances
Pages: 973-984
Abstract
A new algorithm is suggested to assess in-field oil and gas reserves based on the size distribution of discoveries. The statistical performances of the estimators are tested through the Monte-Carlo imitation.
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