摘要
The mathematical model to characterize the transport of microorganisms in a finite-length cylindrical pore with the inside surface rich in microbial nutrients is developed, and the transport behavior of microorganisms in such a pore is discussed. Incorporated with key parameters such as microbial chemotaxis, diffusion, in-situ propagation and water flooding, this model is focused on the concentration profile of microorganisms in both radial and axial directions in the cylindrical pore during microbial transport under these parameters. Prediction by simulation based on the model shows that higher concentration of microorganism at and near the pore inside surface occurred during water flooding, and the radial concentration gradient in the cylindrical pore was consequently formed mainly due to microbial chemotaxis. Prediction also provides better understanding on the transport mechanism of microorganism in cylindrical pores, which is believed to be significant in the process of microbial enhanced oil recovery.
The mathematical model to characterize the transport of microorganisms in a finite-length cylindrical pore with the inside surface rich in microbial nutrients is developed, and the transport behavior of microorganisms in such a pore is discussed. Incorporated with key parameters such as microbial chemotaxis, diffusion, in-situ propagation and water flooding, this model is focused on the concentration profile of microorganisms in both radial and axial directions in the cylindrical pore during microbial transport under these parameters. Prediction by simula- tion based on the model shows that higher concentration of microorganism at and near the pore inside surface occurred during water flooding, and the radial concentration gradient in the cylindrical pore was consequently formed mainly due to microbial chemotaxis. Prediction also provides better understanding on the transport mecha- nism of microorganism in cylindrical pores, which is believed to be significant in the process of microbial enhanced oil recovery.
基金
Supported by the National Natural Science Foundation of China (No.50374038), the Doctorate Foundation of the State Education Ministry of China (No.20030251002), the Key Program of the State Education Ministry of China (No.03071), Shanghai Municipal Science and Technology Commission (No.045407017), and Shanghai Postdoctoral Foundation (No.04R214124).
