Zafar Mudasar, Sakidin Hamzah, Hussain Abida, Daabo Ahmed, Ullah Farman, Ramasamy Rajasegeran, Nazar Roslinda, Sheremet Mikhail, Al-Yaari Abdullah, Khan Iliyas Karim
School of Mathematics, Actuarial and Quantitative Studies (SOMAQS), Asia Pacific University of Technology and Innovation (APU), Bukit Jalil, Kuala Lumpur, Malaysia.
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia.
PLoS One. 2025 Aug 13;20(8):e0328661. doi: 10.1371/journal.pone.0328661. eCollection 2025.
In the oil and gas industry, enhanced oil recovery (EOR) strategies for unconventional reservoirs, characterized by complex geometries, differ significantly from those used in conventional reservoirs. This research focuses on the impact of 3D hexagonal prism geometries on EOR in hypothetical oil reservoirs using silicon dioxide (SiO₂) magnetic nanoparticles under liquid-phase flow conditions, a topic not extensively explored in existing literature. We developed an improved magnetohydrodynamic (MHD) mathematical models to simulate oil recovery processes in these geometries, using ANSYS Fluent for finite volume analysis. We developed an improved magnetohydrodynamic (MHD) model by incorporating magnetic field-induced pressure terms, nanoparticle transport losses, and a 3D hexagonal prism geometry that reflects complex reservoir behavior. These enhancements extend beyond traditional Darcy-based models by integrating magnetic permeability, viscosity alteration, and magnetic field-pore interactions. The model evaluates the impact of key reservoir parameters including porosity (ϕ = 0.1-0.4), injection flow rate (0.01-0.05 mL/min), and nanoparticle concentration (Ψ = 0.01-0.04), under different magnetic field configurations. Porosity and flow rate were also found to significantly influence recovery performance, highlighting the practical adaptability of the model for diverse reservoir conditions. Findings indicate that proximity of a magnetic field to cavity structures enhances oil recovery rates, with a significant 29.08% increase in recovery from nanoflooding compared to water flooding.Future research will extend this framework to study green, eco-friendly nanoparticles under elevated temperature and pressure, aiming to improve thermal stability, reduce environmental risks, and enhance recovery efficiency in more extreme reservoir conditions.
在石油和天然气行业中，以复杂几何形状为特征的非常规油藏的强化采油（EOR）策略与常规油藏所使用的策略有显著差异。本研究聚焦于在液相流动条件下，使用二氧化硅（SiO₂）磁性纳米颗粒，三维六方棱柱几何形状对假想油藏中强化采油的影响，这是现有文献中未广泛探讨的主题。我们开发了改进的磁流体动力学（MHD）数学模型，以模拟这些几何形状中的采油过程，使用ANSYS Fluent进行有限体积分析。我们通过纳入磁场诱导压力项、纳米颗粒输运损失以及反映复杂油藏行为的三维六方棱柱几何形状，开发了改进的磁流体动力学（MHD）模型。这些改进超越了传统的基于达西的模型，整合了磁导率、粘度变化和磁场 - 孔隙相互作用。该模型评估了关键油藏参数的影响，包括孔隙率（ϕ = 0.1 - 0.4）、注入流速（0.01 - 0.05 mL/min）和纳米颗粒浓度（Ψ = 0.01 - 0.04），在不同磁场配置下的情况。还发现孔隙率和流速对采收性能有显著影响，突出了该模型对不同油藏条件的实际适应性。研究结果表明，磁场靠近腔体结构可提高采油率，与水驱相比，纳米驱油采收率显著提高29.08%。未来的研究将扩展这一框架，以研究在高温高压下的绿色、环保纳米颗粒，旨在提高热稳定性、降低环境风险，并在更极端的油藏条件下提高采收效率。
