Simulation of reservoir permeability decline due to invasion of large particles

2008 ◽  
Vol 48 (1) ◽  
pp. 1 ◽  
Author(s):  
Changhong Gao

Particles can deposit in reservoir rocks and cause severe damage to their permeabilities. The mechanisms of permeability decline are attributed to adsorption, size exclusion and gravity settling of particles in porous media. Previous test results reveal that high particle concentration, low fluid velocity, large particle size lead to more damage. Traditional models are empirical correlations heavily dependent on core test data. In this paper, a network model incorporating the damaging mechanisms is used to study capture of large (non-Brownian) particles in porous media and resultant permeability damage. The model employs certain assumptions to imitate the characteristics of real porous media. The proposed procedure applies force analysis to obtain particle invasion depth, and determines damaging mechanisms by pore size to particle size ratio. The model assumes that for a particle much smaller than the pore where it is captured, surface deposition is the mechanism for permeability decline. For particle size comparable to pore size, pore throat plugging and bridging are the causes of permeability damage. The method is validated with test data and reasonably good results are obtained. The new model provides more insights into the deposition process and does not rely on core flooding data.

2018 ◽  
Vol 120 (14) ◽  
Author(s):  
G. Gerber ◽  
S. Rodts ◽  
P. Aimedieu ◽  
P. Faure ◽  
P. Coussot

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Z. You ◽  
P. Bedrikovetsky ◽  
L. Kuzmina

Long-term deep bed filtration in porous media with size exclusion particle capture mechanism is studied. For monodispersed suspension and transport in porous media with distributed pore sizes, the microstochastic model allows for upscaling and the exact solution is derived for the obtained macroscale equation system. Results show that transient pore size distribution and nonlinear relation between the filtration coefficient and captured particle concentration during suspension filtration and retention are the main features of long-term deep bed filtration, which generalises the classical deep bed filtration model and its latter modifications. Furthermore, the exact solution demonstrates earlier breakthrough and lower breakthrough concentration for larger particles. Among all the pores with different sizes, the ones with intermediate sizes (between the minimum pore size and the particle size) vanish first. Total concentration of all the pores smaller than the particles turns to zero asymptotically when time tends to infinity, which corresponds to complete plugging of smaller pores.


Author(s):  
Wojciech Sobieski

AbstractThe paper describes the so-called Waterfall Algorithm, which may be used to calculate a set of parameters characterising the spatial structure of granular porous media, such as shift ratio, collision density ratio, consolidation ratio, path length and minimum tortuosity. The study is performed for 1800 different two-dimensional random pore structures. In each geometry, 100 individual paths are calculated. The impact of porosity and the particle size on the above-mentioned parameters is investigated. It was stated in the paper, that the minimum tortuosity calculated by the Waterfall Algorithm cannot be used directly as a representative tortuosity of pore channels in the Kozeny or the Carman meaning. However, it may be used indirect by making the assumption that a unambiguous relationship between the representative tortuosity and the minimum tortuosity exists. It was also stated, that the new parameters defined in the present study are sensitive on the porosity and the particle size and may be therefore applied as indicators of the geometry structure of granular media. The Waterfall Algorithm is compared with other methods of determining the tortuosity: A-Star Algorithm, Path Searching Algorithm, Random Walk technique, Path Tracking Method and the methodology of calculating the hydraulic tortuosity based on the Lattice Boltzmann Method. A very short calculation time is the main advantage of the Waterfall Algorithm, what meant, that it may be applied in a very large granular porous media.


2021 ◽  
Author(s):  
Mengya Zhang ◽  
Lei He ◽  
Meiping Tong

<p>The effects of bacterial flagella as well as their property on the transport and deposition of bacteria were examined by using four types of <em>Escherichia coli </em>(<em>E.coli</em>) with or without flagella, as well as with normal or sticky flagella. Packed column, quartz crystal microbalance with dissipation (QCM-D), visible parallel plate flow chamber system, as well as visible flow chamber system packed with porous media system were utilized to investigate the deposition behaviors and the deposition mechanisms of bacteria with different property of flagella. We found that the presence of flagella favored <em>E.coli</em> deposition onto quartz sand/silica surfaces. Moreover, by changing the porous media porosity and directly observing the deposition process of bacteria in porous media, grain-to-grain contacts were found to be major sites for bacterial deposition. Particularly, flagella could help bacteria swim near and then deposit at grain-to-grain contacts. In addition, we found that due to the stronger adhesive forces, sticky flagella could further enhance bacterial deposition onto quartz sand/silica surfaces. Elution experiments showed that the portion of bacteria with flagella depositing onto secondary energy minima was relatively lower than bacteria without flagella, indicating that flagella could help bacteria attach onto sand surfaces more irreversibly. Clearly, flagella and their property would have obvious influence on the transport and deposition behaviors of bacteria in porous media. By removing the flagella or changing their property, the transport and deposition of bacteria in porous media can be altered. Particularly, bacterial flagella can be removed to facilitate the transport of bacteria in remediation system requiring high mobility of bacteria, while in system requiring the immobilization bacteria in porous media, bacteria with sticky flagella can be employed.</p>


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