PREDICTION OF IN-FIELD OIL AND GAS RESERVES IN UNDEREXPLORED PETROLEUM PROVINCES
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dc.contributor.author | Livshits V.R. | |
dc.date.accessioned | 2022-05-02T07:48:57Z | |
dc.date.available | 2022-05-02T07:48:57Z | |
dc.date.issued | 2004 | |
dc.identifier | https://www.elibrary.ru/item.asp?id=14998144 | |
dc.identifier.citation | Geologiya i Geofizika, 2004, 45, 8, 1021-1032 | |
dc.identifier.issn | 0016-7886 | |
dc.identifier.uri | https://repository.geologyscience.ru/handle/123456789/37331 | |
dc.description.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. | |
dc.subject | Petroleum province | |
dc.subject | hydrocarbon reserves | |
dc.subject | in-field reserves | |
dc.subject | Bayesian estimator | |
dc.subject | Monte-Carlo imitation | |
dc.subject | statistical performances | |
dc.title | PREDICTION OF IN-FIELD OIL AND GAS RESERVES IN UNDEREXPLORED PETROLEUM PROVINCES | |
dc.type | Статья |
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