A Mathematical Model for Indigenous Microbial Enhanced Oil Recovery in Anaerobic Metabolic Process

Abstract:

To successfully simulate the anaerobic metabolic process of Indigenous Microbial Enhanced Oil Recovery (IMEOR) and reduce the risk of practice test, a new mathematical model was established for porous flow field-microbial field coupling in anaerobic metabolic process according to the study on anaerobic microbe chain composed of fermentative bacteria, nitrate reducing bacteria, sulfate reducing bacteria and methanogen, and the solution of this model was given. The effect of IMEOR in anaerobic metabolic process relies on the regulation of microbe community. Equations about porous flow field affected by microbe in the model not only elaborate the impacts of microbe and three primary metabolic products (bio-surfactant, bio-polymer, bio-gas) on physical parameters, but also reflect the main mechanisms (emulsification, profile modification and viscosity reduction) for microbial enhanced oil recovery. Equations in microbial field influenced by fluid flow could indicate the substance distribution decided by fluid flow and the collaborative metabolism relationship on biological chain formed by microbe community. The coupling of porous flow field and microbial field should be solved together. The model supplies theoretical basis for the study on IMEOR mathematical model software.

• Periodical: Applied Mechanics and Materials (Volumes 110-116)
• Pages: 1996-2003
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.110-116.1996
• Online since: October 2011
• Authors: Jian Long Xiu, Li Yu
• Keywords: Anaerobic, Coupling, Indigenous Microorganism, Mathematical Models, Microbial Field, Porous Flow Field

References

[1] Kong Xiangping, Study on the growth and transport of the bacterium geobacillus sp. in simulated reservoir conditions, Graduate Student Dissertation of Ocean University of China, 2007. 6.

[2] Sun Peide, Yang Dongquan, and Chen Yibai, Introduction to coupling models for multiphysics and numerical simulations, Beijing: China Science & Technology Press, 2007: 347-366.

[3] Lei Guanglin, The research and application of microbial enhanced oil recovery, Acta petrol sinica, 2001, 22(2): 56-61.

[4] Ke Yihua, Fang Zhihua, and Sun Xuemei, Modelling and ecological regularization of microfloras in the anaerobic digestion processes, China Biogas, 1994, 12(2): 10-14.

[5] Song-Bae Kim, Numerical analysis of bacterial transport in saturated porous media, Hydrological Processes, 2006, 20: 1177-1186.

DOI: 10.1002/hyp.5930

[6] Tushar Kanti Sen, Dipankar Das, and Kartic C. Khilar, Bacterial transport in porous media: New aspects of the mathematical model, Colloids and Surfaces A: Physicochen, 2005: 53-62.

DOI: 10.1016/j.colsurfa.2005.02.033

[7] Sun Peide, Song Yingqi, and Wang Ruyi, Dynamic models and numerical simulations for activated sludge processes, Beijing: Chemical Industry Press, 2010: 18-21.

[8] Wei Li, Wang Yanjun, and Ma Fang, Mechanism and application of denitrification inhibition to activity of sulfate-reducing bacteria, Journal of Harbin in Institute of Technology, 2009, 41(4): 85-88.

[9] Ke Yihua, Yang Xinkai, and Fang Zhihua, Mathematical models of ecological dystem of four microbial populations in anaerobic digestion process, China Biogas, 1997, 15(4): 16-19.

[10] Zhang X, A mathematical model for microbial enhanced oil recovery process, SPE/ DOE 24202, (1992).

[11] Chunmiao Zheng, Gordon D. Bennett, Sun Jinyu, and Lu Guoping, Applied contaminant transport modeling(Second Edition), Beijing: Higher Education Press, 2009: 51-56.

[12] Kang Ning, and Lun Shiyi, Studies on kinetics of two phase sulfate reduction-methane ermentation process, Journal of WUXI University of Light Industry, 1996, 15(4): 283-289.

[13] Yuan Shiyi, and Wang Jialu, Reservoir numerical simulation, Beijing: Petroleum Industry Press, 2004: 11-17.

[14] M. Behesht, R. Roostaazad, and F. Farhadpour, Model Development for MEOR Process in Conventional Non-Fractured Reservoirs and Investigation of Physical-Chemical Parameter Effects, Chem. Eng. Technol. 2008, 31(7): 953–963.

DOI: 10.1002/ceat.200800094

[15] Sugihardjo, E.H. Legowo, and Partomo, Microbial Core Flooding Experiments Using Indigenous Microbes, SPE/ DOE 57306, (1999).

DOI: 10.2118/57306-ms

[16] Sun Peide, and Wang Ruyi, Biological-Hydraulic-Temperature coupled model(Bio-Hydro-Temp) for activated sludge system Part1: Model establishment, Journal of Environmental sciences, 2008, 28(12): 2438-2441.

[17] Wang Ziming, and Du Zhimin, The fluid-solid-heat coupled math's model in the multiphase flow porous media of elastic reservoir, Petroleum Geology and Oilfield Development in Daqing, 2003, 22(1): 29-32. Yes Calculating pressure, saturation and flow speed in porous flow field Calculating concentrations in microbial field Renew physical parameters Input reservoir parameters Input injection-production parameters Input microbial and nutrient parameters parameters The next time step 长 Examining the convergence of pressure and concentrations No Figure 1. Solution procedure of coupling mathematical model.

DOI: 10.1016/s0301-9322(97)80223-6