Mathematical Modelling And Scaling Up Of Microbial Enhanced Oil Recovery

Author:

Islam M.R.1,Gianetto A.2

Affiliation:

1. South Dakota School of Mines and Technology

2. Emertec Developments Inc.

Abstract

Abstract A complete mathematical model for describing microbial transport, nutrient propagation, and microbial growth in porous media is presented in this paper. Also presented is the scaling up criteria for conducting meaningful experiments in the laboratory. Microbial Enhanced Oil Recovery (MEOR) is one of the fastest growing EOR schemes in the world. This is due to low cost of MEOR as compared to other EOR schemes, such as chemical flooding, thermal methods, etc. Micro-organisms are able to travel relatively easily in an oil reservoir with preferential access into the wafer-bearing channels. In situ bio-generation of chemicals has the unique advantage of minimizing chemical loss by adsorption. If properly designed, microbial species can be used for selective plugging of high permeability water-bearing channels, leading to improved oil recovery. Even though there has been considerable experimental and field work done on MEOR, very little effort has been devoted to mathematical simulation as well as studies of scale-up procedures of MEOR. The lack of reliable numerical prediction techniques or proper scaling criteria often leads to inaccurate evaluation of a field project. This paper presents a new approach for modelling microbial plugging of water channels which are often present in oil reservoirs. Combination of the bacterial and nutrient transport models are coupled with a kinetic model of bacterial growth. A detailed parametric study of the MEOR simulator is presented. This model accurately redicts bacteria entrainment and deposition in a laboratory core. The numerical simulation results compared favourably with published experimental data. This model provides an insight into bacterial transport laboratory and field and may be used to define new targets for bacterial plugging. Based on the numerical model, scaling criteria/or conducting experiments using MEOR arederived. These scaling criteria are essential for scaling up laboratory experimental results to the field. Introduction Many field trials have been conducted using microbes for mainly two applications: selective plugging of undesirable channels(1), and reduction of oil-water interfacial tension and oil viscosity for oil mobilization(2). Only a few field trials have been successful even though most field trials preceeded by laboratory experimentations. In the past, laboratory experiments have been poorly extrapolated to design a field project. This is mainly due to the lack of scaling criteria or a proper mathematical simulator which could be used for modelling field perfomance under realistic field conditions. Even though there have been several studies reporting transport of bacteria through porous media(1–4), very little has been conductedin the areas of mathematical modelling of microbial transport and metabolism. A simplified model was proposed by Knapp et al.(5). This model used a fundamental conservation laws along with growth and retention kinetics of biomass in order to predict porosity reduction as a function of distance and time. Updesraff(6) used a filtration model in order to express bacteria transport as a function of pore entrance size. A similar model was used by Lang el al.(1) as well. In a recent work, Jenneman el al.(7) modified the filtration theory to relate permeability, with the rate of bacteria penetration.

Publisher

Society of Petroleum Engineers (SPE)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Microbial enhanced oil recovery;Recovery Improvement;2023

2. Review on microbial enhanced oil recovery: Mechanisms, modeling and field trials;Journal of Petroleum Science and Engineering;2020-09

3. Modeling and Simulation;Theory and Practice in Microbial Enhanced Oil Recovery;2020

4. References and Bibliography;Economically and Environmentally Sustainable Enhanced Oil Recovery;2019-12-17

5. Optimization of nonisothermal selective plugging with a thermally active biopolymer;Journal of Petroleum Science and Engineering;2019-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3