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Low-Rank Tensors Applications for Dimensionality Reduction of Complex Hydrocarbon Reservoirs

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  • Syed, Fahad Iqbal
  • Muther, Temoor
  • Dahaghi, Amirmasoud Kalantari
  • Negahban, Shahin

Abstract

The significant non-uniformity of petrophysical properties and ultra-tight permeability distribution in unconventional reservoirs make them critically complex to investigate. Unconventional reservoirs are usually found in thin layers that expand over hundreds to thousands of miles spatially resulting in huge multidimensional data collection at well locations, which make them numerically challenging for the field development studies and operational analysis.

Suggested Citation

  • Syed, Fahad Iqbal & Muther, Temoor & Dahaghi, Amirmasoud Kalantari & Negahban, Shahin, 2022. "Low-Rank Tensors Applications for Dimensionality Reduction of Complex Hydrocarbon Reservoirs," Energy, Elsevier, vol. 244(PA).
    • Handle: RePEc:eee:energy:v:244:y:2022:i:pa:s0360544221029297
    DOI: 10.1016/j.energy.2021.122680
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    References listed on IDEAS

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    3. Tuncer, Yalcin & Tanik, Murat M. & Allison, David B., 2008. "An overview of statistical decomposition techniques applied to complex systems," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2292-2310, January.
    4. Jianchao Cai & Zhien Zhang & Qinjun Kang & Harpreet Singh, 2019. "Recent Advances in Flow and Transport Properties of Unconventional Reservoirs," Energies, MDPI, vol. 12(10), pages 1-5, May.
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    Cited by:

    1. Nie, Bin, 2023. "Study on thermal decomposition of oil shale: Two-phase fluid simulation in wellbore," Energy, Elsevier, vol. 272(C).

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