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Jinjie Mao

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Jinjie Mao

PhD Candidate
Department of Geoscience
Faculty of Engineering
Department of Language and Literature

jinjie.mao@ntnu.no
+4748927249 PTS2, 319, Valgrinda, SP Andersens veg 15b
Publications Outreach

Publications

  • Chronological
  • By category
  • All publications registered in NVA

2024

  • Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2024) A Review of Intelligent Decision-Making Strategy for Geological CO2 Storage: Insights from Reservoir Engineering. Geoenergy Science and Engineering
    Academic article

Journal publications

  • Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2024) A Review of Intelligent Decision-Making Strategy for Geological CO2 Storage: Insights from Reservoir Engineering. Geoenergy Science and Engineering
    Academic article

Outreach

2025

  • Poster
    Mao, Jinjie; Hannanu, Muhammad Iffan; Ghahfarokhi, Ashkan Jahanbani; Hovd, Morten. (2025) Comparative Analysis of Derivative-Free Optimization Algorithms in Geological CO2 Storage Well Placement Problem with Nonlinear Constraints. SPE Reservoir Simulation Conference , Galveston, Texas 2025-03-25 - 2025-03-27
  • Academic lecture
    Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2025) Leveraging Machine Learning to Optimize Well Placement for Geological CO2 Storage and Utilization. InterPore 2025 , Albuquerque 2025-05-19 - 2025-05-22

2024

  • Poster
    Yu, Jiaxin; Mao, Jinjie; Lenes, Marit Rønnekleiv; Redouane, Kheireddine; Mohammadi, Behnam Tavagh; Ghahfarokhi, Ashkan Jahanbani. (2024) Leveraging AI for Geothermal Energy: Seismic Inversion Using Deep Learning with SCAN Dataset. BRU21 Conference 2024 , Trondheim 2024-06-03 - 2024-06-04
  • Academic lecture
    Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2024) Intelligent Multi-Well Placement Optimization for CO2-EOR and Storage (CEORS) in Complex Reservoirs. The 19th European Conference on the Mathematics of Geological Reservoirs (ECMOR 2024) , Oslo 2024-09-02 - 2024-09-05

2023

  • Academic lecture
    Mao, Jinjie; Ghahfarokhi, Ashkan Jahanbani. (2023) Impact of Uncertainties and Decision Variables on CO2 Enhanced Oil Recovery and Storage: A Numerical Investigation. EAGE Annual 2023 , Vienna 2023-06-05 - 2023-06-08

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