Recent Advances in Oil Reservoir Simulation and Multiphase Flow

Dear Colleagues,

Advanced reservoir multiphase flow simulation is a key challenge in petroleum engineering. With the increasing complexity of reservoir characteristics (from conventional to unconventional resources) and the growing emphasis on improving the recovery of unconventional reservoirs such as tight oil and shale oil, advanced multiscale modeling and intelligent optimization have become indispensable tools. Recent research advances have covered all aspects of reservoir simulation, from molecular-scale interactions to field-scale simulation, integrating artificial intelligence and high-performance computing technologies. This Special Issue aims to gather cutting-edge research results that combine theoretical advancements, computational innovations, and practical applications, covering all scales of reservoir research and promoting interdisciplinary collaboration to address the sustainable and efficient development of diverse oil and gas resources.

This Special Issue on “Recent Advances in Oil Reservoir Simulation and Multiphase Flow” seeks high quality works focusing on novel methodologies, high-fidelity modeling, and intelligent optimization for a wide spectrum of oil reservoirs. Topics include, but are not limited to, the following:

• Molecular Scale: Molecular dynamics simulations for interfacial phenomena, EOR agent mechanisms, and fluid behavior in nanopores.
• Pore Scale: Lattice Boltzmann Method (LBM), computational fluid dynamics (CFD) in porous media, microfluidic experiments, pore-network modeling, and digital rock technology.
• Core Scale: Experimental studies (e.g., NMR, micro-CT, displacement tests) for model validation and constitutive relationship development.
• Reservoir Scale: Advanced numerical simulation techniques, including discrete fracture modeling (DFN), embedded discrete fracture models (EDFM), and coupled multi-physics simulations.
• AI/ML-assisted reservoir characterization, history matching, and production forecasting.
• Smart optimization of well placement, hydraulic fracturing design, and injection/production strategies.
• Real-time data assimilation and closed-loop reservoir management.
• Uncertainty quantification and risk-based decision-making under geological and dynamic uncertainties.

Dr. Shiqian Xu
Prof. Dr. Sen Wang
Dr. Xiukun Wang
Dr. Shiyuan Zhan
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• reservoir simulation
• multiphase flow
• multiscale modeling
• unconventional reservoirs
• enhanced oil recovery
• artificial intelligence
• optimization
• historymaching