Corrigendum to Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data [J. Petrol. Sci. Eng. (2021) 1–15](S0920410521009554)(10.1016/j.petrol.2021.109302)

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作者
Chan, Septriandi A. [1 ]
Hassan, Amjed M. [1 ]
Usman, Muhammad [1 ,2 ]
Humphrey, John D. [1 ]
Amao, Abduljamiu O. [1 ]
Argadestya, Ignatius [1 ]
Alzayer, Yaser [3 ]
Duque, Fabian [4 ]
机构
[1] College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum and Minerals, Saudi Arabia
[2] Ali I. Al-Naimi Petroleum Engineering Research Center, King Abdullah University Science and Technology, Saudi Arabia
[3] EXPEC Advanced Research Center, Saudi Aramco, Saudi Arabia
[4] Emerging Unconventional Assets Department, Saudi Aramco, Saudi Arabia
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
109389
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共 3 条
  • [1] Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data
    Chan, Septriandi A.
    Hassan, Amjed M.
    Usman, Muhammad
    Humphrey, John D.
    Alzayer, Yaser
    Duque, Fabian
    Journal of Petroleum Science and Engineering, 2022, 208
  • [2] Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data
    Chan, Septriandi A.
    Hassan, Amjed M.
    Usman, Muhammad
    Humphrey, John D.
    Alzayer, Yaser
    Duque, Fabian
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 208
  • [3] Total organic carbon (TOC) quantification using artificial neural networks: Improved prediction by leveraging XRF data (July, pg 1, 2021)
    Chan, Septriandi A.
    Hassan, Amjed M.
    Usman, Muhammad
    Humphrey, John D.
    Amao, Abduljamiu O.
    Argadestya, Ignatius
    Alzayer, Yaser
    Duque, Fabian
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 208