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- W2883715983 abstract "Abstract Use of a multiproduct pipeline operation inevitably produces an interface mixture or TRANSMIX which either has to be returned to refinery to be re-processed or downgraded into one of the adjacent batches, which is an additional cost as product is lost. In this paper, a Non-linear Autoregressive External Inputs (NARX) model is used for estimating the mixing volumes. Comparison with other models shows in the literature, the proposed neural network is reliable over a wide range of flow conditions and data. The model was fed using field data, 10 hidden layers and three subsets for the training were used: 50%, 65% and 85%. The NARX was capable of simulating the system and demonstrate a good performance comparable with the traditional methods and real data with a maximum error of 4% at 85% training data." @default.
- W2883715983 created "2018-08-03" @default.
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- W2883715983 date "2018-12-01" @default.
- W2883715983 modified "2023-09-25" @default.
- W2883715983 title "A Non-linear Autoregressive External Inputs (NARX) model for estimating the mixing volumes between batches in TRANSMIX" @default.
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- W2883715983 doi "https://doi.org/10.1016/j.ijheatmasstransfer.2018.07.011" @default.
- W2883715983 hasPublicationYear "2018" @default.
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