A Study on Numerical Simulation for Functional Microbial Flooding

DOI

10.2991/wartia-16.2016.293How to use a DOI?

Keywords

Functional microorganism, Indigenous microorganism, Microbial enhanced oil recovery, Compatibility, Mathematical model, Numerical simulation

Abstract

By studying on the transport laws and reaction dynamics for microorganisms in porous media, a comprehensive three-dimensional, three –phase mathematical model was established to reflect the mechanisms for microbial enhanced oil recovery. The components in this model included oil, gas, water, microorganism 1(exogenous microbe), microorganism 2 (indigenous microbe), nutrient, metabolite 1(surfactant), metabolite 2(polymer) and metabolite 3(gas). The numerical model has elaborated the convection, dispersion, diffusion, chemotaxis, adsorption and compatibility for microorganisms in porous media. On the basis of Monod model growth kinetic equation, interaction factors of two microbes were introduced for the first time to reflect mutual effect of indigenous microbes with endogenous microorganisms in oil reservoir. Meanwhile, equations about production for products and consumption for nutrient were modified to represent the metabolism and enhanced oil recovery for injected functional microbes accurately in the reservoir environment. The results make a great contribution to learn metabolic regulation of injected functional microbes in oil reservoir

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianlong Xiu
AU  - Weiyao Zhu
AU  - Ying Guo
AU  - Li Yu
PY  - 2016/05
DA  - 2016/05
TI  - A Study on Numerical Simulation for Functional Microbial Flooding
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1429
EP  - 1434
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.293
DO  - 10.2991/wartia-16.2016.293
ID  - Xiu2016/05
ER  -