Microfluidic study of effects of flow velocity and nutrient concentration on biofilm accumulation and adhesive strength in microchannels

Liu, Na; Skauge, Tormod; Landa-Marbán, David; Hovland, Beate; Thorbjørnsen, Bente; Radu, Florin Adrain; Vik, Bartek; Baumann, Thomas; Bødtker, Gunhild

doi:10.1101/375451

Cited by 7 publications

(7 citation statements)

References 46 publications

(58 reference statements)

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“…However, these experiments are expensive and time consuming. In [14] a pore-scale mathematical model is calibrated based on the experiments performed by [21], where measurements of the biofilm amount over time are taken for different flux velocities. For the core-scale system described in this section, only one experiment is performed.…”

Section: Name Equationmentioning

confidence: 99%

“…Experiments in microsystems allow us to observe processes in more detail, which leads to improvement of the experimental methods in core-scale experiments. For example, in [21] the effects of flow velocity and substrate (also referred to as nutrients) concentration on biofilm in a microchannel was studied, finding values of substrate concentration and flow velocity for a strong plugging effect. Core samples from reservoirs can be used to study changes in permeability due to biofilm formation, e.g., in [30] two-phase flow experiments were performed to study the selective plugging strategy for MIEOR.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical Modeling, Laboratory Experiments, and Sensitivity Analysis of Bioplug Technology at Darcy Scale

Landa-Marbán,

Bødtker,

Vik

et al. 2020

Preprint

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In this paper we study a Darcy-scale mathematical model for biofilm formation in porous media. The pores in the core are divided into three phases: water, oil, and biofilm. The water and oil flow are modeled by an extended version of Darcy's law and the substrate is transported by diffusion and convection in the water phase. Initially there is biofilm on the pore walls. The biofilm consumes substrate for production of biomass and modifies the pore space which changes the rock permeability. The model includes detachment of biomass due to water flux and death of bacteria, and is implemented in MRST. We discuss the capability of the numerical simulator to capture results from laboratory experiments. We perform a novel sensitivity analysis based on sparse-grid interpolation and multi-wavelet expansion to identify the critical model parameters. Numerical experiments using diverse injection strategies are performed to study the impact of different porosity-permeability relations in a core saturated with water and oil.

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Section: Name Equationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling, Laboratory Experiments, and Sensitivity Analysis of Bioplug Technology at Darcy Scale

Landa-Marbán,

Bødtker,

Vik

et al. 2020

Preprint

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“…The injected nutrient concentration was c i = 0.88 kg/m 3 . A detailed description of the performed experiments can be found in [20].…”

Section: Model Testmentioning

confidence: 99%

A Pore-Scale Model for Permeable Biofilm: Numerical Simulations and Laboratory Experiments

et al. 2018

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In this paper we derive a pore-scale model for permeable biofilm formation in a two-dimensional pore. The pore is divided in two phases: water and biofilm. The biofilm is assumed to consist of four components: water, extracellular polymeric substances (EPS), active bacteria, and dead bacteria. The flow of water is modeled by the Stokes equation whereas a diffusion-convection equation is involved for the transport of nutrients. At the water/biofilm interface, nutrient transport and shear forces due to the water flux are considered. In the biofilm, the Brinkman equation for the water flow, transport of nutrients due to diffusion and convection, displacement of the biofilm components due to reproduction/dead of bacteria, and production of EPS are considered. A segregated finite element algorithm is used to solve the mathematical equations. Numerical simulations are performed based on experimentally determined parameters. The stress coefficient is fitted to the experimental data. To identify the critical model parameters, a sensitivity analysis is performed. The Sobol sensitivity indices of the input parameters are computed based on uniform perturbation by ±10% of the nominal parameter values. The sensitivity analysis confirms that the variability or uncertainty in none of the parameters should be neglected. keywords: Biofilm · Numerical simulations · Laboratory experiments · Microbial enhanced oil recovery · Porosity 1 arXiv:1807.03400v3 [physics.flu-dyn] 31 Aug 2018• the development of a multidimensional, comprehensive pore-scale mathematical model for biofilm formation,• the inclusion of a biofilm porosity,

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“…This led to the conclusion that the metric interfacial area had a significant impact on oil recovery, but to quantify that impact experimental studies are required. More recently, upscaled models have been deployed to study the microfluidic effects of flowrate and nutrient concentration on biofilm accumulation and adhesive strength in a microchannel (Liu et al, 2018). They have also been applied to further develop pore-scale models for permeable biofilms (Landa-Marban et al, 2018).…”

Section: Modelling and Simulation Of Mieor Processesmentioning

confidence: 99%

Microbial improved and enhanced oil recovery (MIEOR): Review of a set of technologies diversifying their applications

Wood¹

2018

Adv. Geo-Energy Res.

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Microbial improved and enhanced oil recovery (MIEOR) deploys microbes into wellbores and subsurface oil reservoirs and/or stimulates in-situ microbes to generate biochemicals that induce positive changes to reservoir and/or fluid conditions. MIEOR has a history of laboratory testing and field trials stretching back many decades, but few large-scale commercial projects. This review describes mechanism and components involved and the challenges in scaling-up laboratory performance to field-wide commercial applications. Microbes tend to exist in consortia with the ability to generate a wide range of biochemicals and biomass capable of performing various useful MIEOR actions and some actions that are detrimental (e.g., reservoir souring, facilities corrosion, formation damage). The complexity of the microbial consortia makes it difficult to unravel the net consequences of growing a microbial community in a specific reservoir. This requires extensive experimental studies coupled with long-term field trials and the outcomes of several recent examples are provided. These complexities and requirements have historically slowed down the commercialization of MIEOR. Significant advances in recent years have provided improved modelling and simulation tools capable of representing more realistically the evolution of MIEOR actions at the micro and macro scales. The advantages and disadvantages of MIEOR are identified and explored. Future expectations for the development and exploitation of MIEOR technologies are discussed considering the recent advances it has achieved.

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Microfluidic study of effects of flow velocity and nutrient concentration on biofilm accumulation and adhesive strength in microchannels

Abstract: 21Biofilm accumulation in the porous media can cause plugging and change many physical 22properties of porous media. Up to now, applications of desired biofilm growth and its 23

Cited by 7 publications

References 46 publications

Mathematical Modeling, Laboratory Experiments, and Sensitivity Analysis of Bioplug Technology at Darcy Scale

Mathematical Modeling, Laboratory Experiments, and Sensitivity Analysis of Bioplug Technology at Darcy Scale

A Pore-Scale Model for Permeable Biofilm: Numerical Simulations and Laboratory Experiments

Microbial improved and enhanced oil recovery (MIEOR): Review of a set of technologies diversifying their applications

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