Transport and Retention Behaviors of Deformable Polyacrylamide Microspheres in Convergent-Divergent Microchannels.

Knowledge of the transport and retention behaviors of soft deformable particles on the microscale is essential for the design, evaluation, and application of engineered particle materials in the fields of energy, environment, and sustainability. Emulated convergent-divergent microchannels were constructed and used to investigate the transport and retention behaviors of soft deformable polyacrylamide microspheres at various conditions. Five different types of transport and retention patterns, i.e., surface deposition, smooth passing, direct interception, deforming remigration, and rigid blockage, are observed. Flow resistance variation characteristics caused by different patterns were quantitatively analyzed. Effects of flow rate, pore-throat size, particle size, and injection concentration on transport and retention patterns have been studied, and transport and retention pattern maps are presented and discussed.

Performance Prediction and Heating Parameter Optimization of Organic-Rich Shale In Situ Conversion Based on Numerical Simulation and Artificial Intelligence Algorithms.

In situ conversion technology is a green and effective way to realize the development of organic-rich shale. Supercritical CO2 can be used as a good heating medium for shale in situ conversion. Numerical simulation is an important means to explore the shale in situ conversion process, but it requires a lot of time and computational cost for in situ conversion simulation under different working conditions. Therefore, a computational framework for rapid prediction of shale in situ conversion development performance and heating parameter optimization is proposed by coupling artificial neural network (ANN) and particle swarm optimization (PSO). The results indicated that kerogen pyrolysis and hydrocarbon product release mainly occurred within 2 years of shale in situ conversion. The production curves of pyrolysis hydrocarbon obviously slowed after in situ conversion for 2 years. The database was constructed by a large number of in situ conversion simulations, and Pearson correlation analysis and the random forest method were adopted to obtain seven main controlling factors affecting reservoir temperature and hydrocarbon production. The determination coefficient of the obtained ANN-based prediction models is higher than 97%, and the mean square error (MSE) is lower than 0.3%. The basic reservoir case can choose to inject 350-450 °C supercritical CO2 (Sc-CO2) fluid with a rate of 600 m3/day to obtain a more promising development effect. The heating parameter optimization for three typical reservoir cases using PSO was performed, and reasonable injection temperature and injection rate were obtained. It realized accurate development prediction and rapid heating parameter optimization, which helps the effective application of shale in situ conversion development design.

Quantitative Analysis of Natural Gas Diffusion Characteristics in Tight Oil Reservoirs Based on Experimental and Numerical Simulation Methods.

As an important mechanism in gas injection development, the diffusion characteristics of natural gas in tight reservoirs are important in the dynamic prediction of the development effect and optimization of injection-production parameters. In this paper, a high-pressure and high-temperature oil-gas diffusion experimental device was built, which was used to study the effects of the porous medium, pressure, permeability, and fracture on oil-gas diffusion under tight reservoir conditions. Two mathematical models were used to calculate the diffusion coefficients of natural gas in bulk oil and cores. Besides, the numerical simulation model was established to study the diffusion characteristics of natural gas in gas flooding and huff-n-puff, and five diffusion coefficients were selected based on experimental results for simulation study. The remaining oil saturation of grids, the recovery of single layers, and the distribution of CH4 mole fraction in oil were analyzed based on the simulation results. The experimental results show that the diffusion process can be divided into three stages: the initial stage of instability, the diffusion stage, and the stable stage. The absence of medium, high pressure, high permeability, and the existence of fracture are beneficial to natural gas diffusion, which can also reduce the equilibrium time and increase the gas pressure drop. Furthermore, the existence of fracture is beneficial to the early diffusion of gas. The simulation results show that the diffusion coefficient has a greater influence on the oil recovery of huff-n-puff. For gas flooding and huff-n-puff, the diffusion features both perform such that a high diffusion coefficient results in a close diffusion distance, small sweep range, and low oil recovery. However, a high diffusion coefficient can achieve high oil washing efficiency near the injecting well. The study is helpful to provide theoretical guidance for natural gas injection in tight oil reservoirs.