Data for: A methodology for building a data-enclosing tunnel for automated online-feedback in simulator training

Published: 4 Nov 2019 | Version 1 | DOI: 10.17632/bpczvpr5np.1
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Description of this data

The data was generated randomly, based on different combinations of possible actions in the dynamic simulator K-Spice from Kongsberg Digital. In case study 1, the aim was to increase +10 % of the oil production with respect to the initial condition value. In case study 2, the aim was to decrease -10 % of the gas production with respect to the initial condition value. The data show examples of possible correct and incorrect paths that a trainee could follow trying to solve the scenarios.

Experiment data files

  • The data was generated randomly in the dynamic simulator K-Spice from Kongsberg Digital. In case study 1, the aim was to increase +10 % of the oil production with respect to the initial condition value.

  • The data was generated randomly in the dynamic simulator K-Spice from Kongsberg Digital. In case study 2, the aim was to decrease -10 % of the gas production with respect to the initial condition value.

This data is associated with the following publication:

A methodology for building a data-enclosing tunnel for automated online-feedback in simulator Training

Published in: Computers & Chemical Engineering

Latest version

  • Version 1

    2019-11-04

    Published: 2019-11-04

    DOI: 10.17632/bpczvpr5np.1

    Cite this dataset

    Marcano, Laura; Yazidi, Anis; Manca, Davide; Komulainen, Tiina M (2019), “Data for: A methodology for building a data-enclosing tunnel for automated online-feedback in simulator training”, Mendeley Data, v1 http://dx.doi.org/10.17632/bpczvpr5np.1

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Categories

Engineering, Data Mining, Data Science, Training

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

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You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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