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Predicting reservoir quality in sandstones through neural modeling

Due to limited understanding of the details of many diagenetic processes, mathematical models become a very useful tool to predict reservoir quality prior to drilling. Porosity prediction is an important component in pre-drill and post-drill evaluation of reservoir quality. In this context, we have...

詳細記述

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書誌詳細
主要な著者: Sandro da Silva Camargo, Paulo Martins Engel
フォーマット: Artigo
言語:Inglês
出版事項: Universidade Federal do Rio Grande 2013-01-01
シリーズ:Vetor
主題:
オンライン・アクセス:https://ojs2.furg.br/index.php?journal=vetor&page=article&op=view&path[]=1337
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