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- W4311428119 abstract "Abstract 50 years of fluid production from the Norwegian Continental Shelf (NCS) are available in the public domain. The data sets are not complete if one wants to use grid-based models, required by commercial reservoir simulators to history match the data. To make use of the data, it is necessary to return to simpler and more generic reservoir models. Many of the simpler models, such as decline curve models or pure data driven e.g., machine learning models are often not based on theory, which makes it hard to trust them outside the parameter range they have been tested and it is more complicated to extract generic knowledge. We propose a novel, simple reservoir model, with theoretical underpinnings from continuous flow models to analyse field production data from 102 fields from the NCS. The novelty in this work comes from our theoretical model which contains two parameters with a clear physical interpretation. Despite its simplicity, the model has a good match for production data from almost all the fields. Total production for most fields is matched within 5%. We demonstrate that one use of our model could be to evaluate the effect on hydrocarbon production if more or less wells than planned are drilled on a specific field. We present correlations which makes it possible to predict hydrocarbon production with limited data available." @default.
- W4311428119 created "2022-12-26" @default.
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- W4311428119 date "2022-12-14" @default.
- W4311428119 modified "2023-10-12" @default.
- W4311428119 title "A physics based reservoir model for analyzing large amount of reservoir production data" @default.
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- W4311428119 doi "https://doi.org/10.21203/rs.3.rs-2357207/v1" @default.
- W4311428119 hasPublicationYear "2022" @default.
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