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New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique Simulation

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  • Xiangfei Geng

    (Research Institute of Petroleum Exploration & Development (RIPED), PetroChina, Beijing 100083, China
    Key Laboratory of Nano Chemistry (KLNC), PetroChina, Beijing 100083, China)

  • Bin Ding

    (Research Institute of Petroleum Exploration & Development (RIPED), PetroChina, Beijing 100083, China
    Key Laboratory of Nano Chemistry (KLNC), PetroChina, Beijing 100083, China)

  • Baoshan Guan

    (Research Institute of Petroleum Exploration & Development (RIPED), PetroChina, Beijing 100083, China
    Key Laboratory of Nano Chemistry (KLNC), PetroChina, Beijing 100083, China)

  • Haitong Sun

    (NEPU Sanya Offshore Oil & Gas Research Institute, Sanya 572025, China
    Key Laboratory for Enhanced Oil & Gas Recovery of the Ministry of Education, Northeast Petroleum University, Daqing 163318, China)

  • Jingge Zan

    (NEPU Sanya Offshore Oil & Gas Research Institute, Sanya 572025, China
    Key Laboratory for Enhanced Oil & Gas Recovery of the Ministry of Education, Northeast Petroleum University, Daqing 163318, China)

  • Ming Qu

    (NEPU Sanya Offshore Oil & Gas Research Institute, Sanya 572025, China
    Key Laboratory for Enhanced Oil & Gas Recovery of the Ministry of Education, Northeast Petroleum University, Daqing 163318, China)

  • Tuo Liang

    (School of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China)

  • Honghao Li

    (School of Engineering, University of Aberdeen, Aberdeen AB24 3FX, UK)

  • Shuo Hu

    (Fourth Oil Recovery Plant of Daqing Oilfield Co., Ltd., Daqing 163318, China)

Abstract

This study presents a novel Enhanced Oil Recovery (EOR) method using Smart Black Nanocards (SLNs) to mitigate the environmental impact of conventional thermal recovery, especially under global warming. Unlike prior studies focusing on wettability alteration via adsorption, this research innovatively models ‘oil film detachment’ in a reservoir simulator to achieve wettability alteration. Using the CMG-STARS (2020) simulator, this study highlights SLNs’ superior performance over traditional chemical EOR and spherical nanoparticles by reducing residual oil saturation and shifting wettability toward water-wet conditions. The structural disjoining pressure (SDP) of SLNs reaches 20.99 × 10 3 Pa, 16.5 times higher than spherical particles with an 18.5 nm diameter. Supported by the Percus–Yevick (PY) theory, the numerical model achieves high accuracy in production history matching, with oil recovery and water cut fitting within precision error ranges of 0.02 and 0.05, respectively. This research advances chemical EOR technologies and offers an environmentally sustainable, efficient recovery strategy for low-permeability and heavy oil reservoirs, serving as a promising alternative to thermal methods.

Suggested Citation

  • Xiangfei Geng & Bin Ding & Baoshan Guan & Haitong Sun & Jingge Zan & Ming Qu & Tuo Liang & Honghao Li & Shuo Hu, 2024. "New Insight of Nanosheet Enhanced Oil Recovery Modeling: Structural Disjoining Pressure and Profile Control Technique Simulation," Energies, MDPI, vol. 17(23), pages 1-25, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:5897-:d:1528268
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    References listed on IDEAS

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    1. Darsh T. Wasan & Alex D. Nikolov, 2003. "Spreading of nanofluids on solids," Nature, Nature, vol. 423(6936), pages 156-159, May.
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