Volume 38, Issue 10
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397
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Missed pay prediction — the advent of a new era, Page 1 of 1

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  1. Alaei, B., Purves, S., Larsen, E., XEconomou, D. and Austin, D.
    [2019]. The Digital Underground: Integrating petroleum geoscience with data science principles to create an intelligent subsurface platform: Expanded Abstract, EAGE Subsurface Intelligence Workshop.
    [Google Scholar]
  2. Larsen, E., Purves, S., Economou, D. and Alaei, B.
    [2018]. Is Machine Learning taking productivity in petroleum geoscience on a Moore’s Law trajectory?:First Break, 36, 135–141.
    [Google Scholar]
  3. MacGregor, L., Brown, N., Roubickova, A., Lampaki, I., Ber-rizbeitia, J. and Ellis, M.
    [2018], Streamlining petrophysical workflows with machine learning: First EAGE/PESGB Workshop on Machine Learning, Expanded Abstract.
    [Google Scholar]
  4. Noh, H., Hong, S. and Han, B.
    [2015]. Learning Deconvolution Network for Semantic Segmentation: ICCV, Proceedings, 1520–1528.
    [Google Scholar]
  5. Zabihi Naeini, E. and Prindle, K.
    [2018]. Machine learning and learning from machines:The Leading Edge, 37(12), 886–893.
    [Google Scholar]

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  • Article Type: Research Article
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