Prediction of residual saturation and pressure drop during coalescence filtration using dynamic pore network model

Azarafza, Abouzar; King, Andrew; Mead-Hunter, Ryan; Schuler, Julia; Abishek, S.; Mullins, Benjamin J.

doi:10.1016/j.seppur.2020.117588

Cited by 13 publications

(4 citation statements)

References 67 publications

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“…Kasper and his team proposed the “jump-and-channel” phenomenological model based on the correlation between pressure drop and liquid migration and analyzed the influence of different parameters on the pressure drop of the jump and channel. − Based on the “jump and channel” model, Chang et al − analyzed the effects of a liquid drainage layer in gas–liquid coalescence filtration and its influence on the filtration performance of the coalescence layer. Azarafza et al , simulated the coalescence filtration of oil mist based on the dynamic pore network model and computational fluid dynamics to successfully predict the residual saturation and pressure drop. Based on industrial filter materials or filter materials prepared by wet papermaking, Chen et al − investigated the influence of pore diameter on the coalescence filtration process and steady-state performance.…”

Section: Introductionmentioning

confidence: 99%

Modification Strategy for High-Performance Coalescing Filters with a Patterned Surface and Its Application to Cartridges

Chen,

Lu,

Wang

et al. 2024

Ind. Eng. Chem. Res.

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Gas–liquid coalescence filters are extensively applied in industrial fields, mainly to separate oil mist droplets that are carried in gases. The traditional wettability treatment on the filter surface can improve the filtration efficiency but usually also increases the pressure drop. In this study, a surface modification method based on tip patterns was proposed. Nonuniform wettability filter surfaces with tip patterns were prepared by combining star-shaped molds and spraying modification to explore the influence of key pattern parameters on the performance of filters. In this way, industrial cartridges were prepared based on the optimal modification parameters and their filtration performance was analyzed and verified. The results showed that liquid collection by the modified filters improved significantly under the combined effect of the wettability driving force and Laplace force produced by the shape gradient, while the steady-state pressure drop decreased by 34.2–47.4% compared to the substrate filter. The modifications facilitated an increase in the effective fiber surface area and strengthened the droplet capture effect by diffusion. When the tip angle was 50°, all of the modified filters achieved the highest droplet filtration efficiency across different droplet size intervals. When there were nine patterns at a 50° tip angle, the modified filters achieved the optimal comprehensive filtration performance, and the steady-state quality factor increased 3.1- and 3.4-fold for submicrometer and micrometer droplets, respectively, compared to the substrate filter. Industrial cartridges were prepared based on the optimal filters. Under different liquid-loading rates, the modified cartridges had significantly higher efficiency and lower resistance compared to the unmodified cartridge. The proposed pattern modification method provides a direction for the design and development of new high-performance coalescence components.

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Section: Introductionmentioning

confidence: 99%

Modification Strategy for High-Performance Coalescing Filters with a Patterned Surface and Its Application to Cartridges

Chen,

Lu,

Wang

et al. 2024

Ind. Eng. Chem. Res.

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“…Although porous flow parameters such as flow rate-differential pressure curve, permeability, capillary pressure curve, and relative permeability curves can be obtained through core experiments [35,36], the micro-nano pore-throat development of shale rock core and fluid flow in it is very slow, is time-consuming and expensive to obtain macro-physical parameters such as phase permeability through experiments, and the flow rate is low, resulting in large measurement errors. At present, direct flow simulation methods based on digital cores are time-consuming and occupy a large amount of memory, while pore network simulation can quickly and accurately predict macroscopic physical parameters [37][38][39][40][41][42], making it a powerful method for predicting macroscopic physical parameters of shale reservoirs. The pore network model uses regular geometry to replace the characteristics of complex pore-throat structures and uses a form factor to characterize the irregularity of pore-throat structures.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Flow Parameters in Shale Nano-Porous Media Using Pore Network Model: A Field Example from Shale Oil Reservoir in Songliao Basin, China

et al. 2023

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The pore-throat radius of the shale oil reservoir is extremely small, and it is difficult to accurately obtain the absolute permeability and oil–water two-phase relative permeability of the actual oil reservoir through conventional core experiments. However, these parameters are very important for reservoir numerical simulation. In this paper, a method for characterizing flow parameters based on a pore network model that considers differential pressure flow and diffusion flow is proposed. Firstly, a digital core was reconstructed using focused ion beam scanning electron microscopy (FIB-SEM) from the Gulong shale reservoir in the Songliao Basin, China, and a pore network model was extracted. Secondly, quasi-static single-phase flow and two-phase flow equations considering diffusion were established in the pore network model. Finally, pore-throat parameters, absolute permeability, and oil–water two-phase permeability curves were calculated, respectively. The results show that the pore-throat distribution of the Gulong shale reservoir is mainly concentrated in the nanometer scale; the mean pore radius is 87 nm, the mean throat radius is 41 nm, and the mean coordination number is 3.97. The calculated permeability considering diffusion is 0.000124 mD, which is approximately twice the permeability calculated without considering diffusion. The irreducible water saturation of the Gulong shale reservoir is approximately 0.4, and the residual oil saturation is approximately 0.35. The method proposed in this paper can provide an important approach for characterizing the flow parameters of similar shale oil reservoirs.

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“…Although porous flow parameters such as flow rate-differential pressure curve, permeability, capillary pressure curve and relative permeability curve can be obtained through core experiments [35,36], micro-nano pore throat development of shale rock core and fluid flow in it is very slow, it will be time-consuming and expensive to obtain macro physical parameters such as phase permeability through experiments, and the flow rate is small, resulting in large measurement errors. At present, direct flow simulation methods based on digital cores are time-consuming and occupy a large amount of memory, while pore network simulation can quickly and accurately predict macroscopic physical parameters [37][38][39][40][41][42][43], making it a powerful method for predicting macroscopic physical parameters of shale reservoirs. The pore network model uses regular geometry to replace the characteristics of complex pore throat structure, and uses form factor to characterize the irregularity of pore throat structure.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Flow Parameters in Shale Nano-Porous Media Using Pore Network Model: A Field Example from Shale Oil Reservoir in Songliao Basin, China

Wang¹,

Jia²,

Cheng³

et al. 2023

Preprint

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The pore-throat radius of shale oil reservoir is extremely small, and it is difficult to accurately obtain the absolute permeability and oil-water two-phase relative permeability of actual oil reservoir through conventional core experiments. However, these parameters are very important for reservoir numerical simulation. In this paper, a method for characterizing flow parameters based on pore network model that considers differential pressure flow and diffusion flow is proposed. Firstly, a digital core was reconstructed using focused ion beam scanning electron microscopy (FIB-SEM) from the Gulong shale reservoir in the Songliao Basin, China, and a pore network model was extracted. Secondly, quasi-static single-phase flow and two-phase flow equations considering diffusion were established in the pore network model. Finally, pore throat parameters, absolute permeability, and oil-water two-phase permeability curves were calculated, respectively. The results show that the pore throat distribution of Gulong shale reservoir is mainly concentrated in the nanometer scale, the mean pore radius is 87 nm, the mean throat radius is 41 nm, and the mean coordination number is 3.97; The calculated permeability considering diffusion is 0.000124mD, which is approximately twice the permeability calculated without considering diffusion; The irreducible water saturation of the Gulong shale reservoir is approximately 0.26, and the residual oil saturation is approximately 0.73. The method proposed in this paper can provide an important approach for characterizing the flow parameters of similar shale oil reservoirs.

show abstract

Prediction of residual saturation and pressure drop during coalescence filtration using dynamic pore network model

Cited by 13 publications

References 67 publications

Modification Strategy for High-Performance Coalescing Filters with a Patterned Surface and Its Application to Cartridges

Modification Strategy for High-Performance Coalescing Filters with a Patterned Surface and Its Application to Cartridges

Characterization of Flow Parameters in Shale Nano-Porous Media Using Pore Network Model: A Field Example from Shale Oil Reservoir in Songliao Basin, China

Characterization of Flow Parameters in Shale Nano-Porous Media Using Pore Network Model: A Field Example from Shale Oil Reservoir in Songliao Basin, China

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