Oil and Gas Reservoirs: Phase Behavior, Seepage Mechanism, Productivity Prediction, and Novel Modelling Methods

Dear Colleagues,

In order to reach the carbon reduction and carbon neutrality advocated for to achieve global ecology, improving oil/gas recovery to balance the daily increasing energy demands, rather than reinforcing the dependence on coal consumption, is urgent. Meanwhile, after the depletion of regular oil/gas reservoirs, we are forced to switch our attention to complex conventional and unconventional oil/gas reservoirs, such as condensate gas reservoirs, fractured oil/gas reservoirs, tight oil/gas reservoirs, shale gas/oil, coalbed methane, etc. However, it is required to reveal the phase behavior and seepage mechanism of the fluids in the mentioned complex and unconventional oil/gas reservoirs urgently, and the corresponding productivity prediction and novel modeling methods are still lacking. In order to address this issue, we are pleased to invite you to submit papers to this new Special Issue of Energies, entirely devoted to “Oil and Gas Reservoirs: Phase Behavior, Seepage Mechanism, Productivity Prediction, and Novel Modeling Methods”. This Special Issue puts emphasis on the current challenges faced in the description of phase behavior and multiphase flow in matrix pores of the mentioned oil and gas reservoirs. At the same time, studies focused on the productivity, prediction, and production modeling methods used for these reservoirs are also welcomed.

Potential topics of interest include, but are not limited to, the following:

• Characterization of nanopore morphology in shale/coal samples;
• Fluid phase behavior in abnormal high-pressure and high-temperature reservoirs;
• Fluid phase behavior in nanopores of shale condensate gas reservoirs;
• Original multiphase fluid occurrence state in deep oil/gas reservoirs;
• Pore network modeling towards fluid flow in porous media;
• Novel numerical simulation method upon complex development modes;
• Fracture propagation characterization and long-term conductivity calculation;
• Advanced production data analysis methods based on multiphase flow.

Dr. Juntai Shi
Dr. Zheng Sun
Guest Editors

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