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- W3083551702 abstract "<p>Artificial intelligence is applied in various fields of human life and is being actively studied and applied in the oil fields. Especially, the digital oil field, which has recently been spotlighted, is required to simulate the reservoir using artificial intelligence. However, there is almost little research to date. Therefore, in this study, we applied TDRM using artificial intelligence technology to Zama field located on the land of Canada. The required static and dynamic data were obtained from Accumap, a Canadian well information S/W. As a result, the reservoir model was constructed successfully and the well location optimization could be performed in a short time using TDRM.</p>" @default.
- W3083551702 created "2020-09-11" @default.
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- W3083551702 date "2020-03-23" @default.
- W3083551702 modified "2023-10-16" @default.
- W3083551702 title "Well location optimization of Zama reservoir using top down reservoir modeling(TDRM)" @default.
- W3083551702 doi "https://doi.org/10.5194/egusphere-egu2020-12089" @default.
- W3083551702 hasPublicationYear "2020" @default.
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