Next Article in Journal
Analysis of Diagnostic Methods and Energy of Production Systems Drives
Previous Article in Journal
Dynamics of Single Droplet Splashing on Liquid Film by Coupling FVM with VOF
Previous Article in Special Issue
Development and Testing of a Block Hydrocyclone
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Special Issue “Fluid Dynamics, Multi-Phase Flow, and Thermal Recovery Methods”

by
Abdolreza Kharaghani
1,* and
Afshin Davarpanah
2,*
1
Thermal Process Engineering, Otto-von-Guericke-Universität Magdeburg, 39106 Magdeburg, Germany
2
Department of Mathematics, Aberystwyth University, Aberystwyth SY23 3BZ, UK
*
Authors to whom correspondence should be addressed.
Processes 2021, 9(5), 842; https://doi.org/10.3390/pr9050842
Submission received: 10 May 2021 / Accepted: 10 May 2021 / Published: 12 May 2021
(This article belongs to the Special Issue Fluid Dynamics, Multi Phase Flow, and Thermal Recovery Methods)
Intricate fluid flow and transport phenomena in porous media are ubiquitous in natural processes and engineering systems. Therefore, it is essential to improve our understanding of these phenomena from both the point of view of experiments and of simulations [1,2,3,4,5]. The relevance of the topic “Fluid Dynamics, Multi-Phase Flow, and Thermal Recovery Methods” in the fields of petroleum engineering, mechanical engineering, and chemical engineering is proven by the numerous research papers, reviews, and journals worldwide that address this topic, as well as by many successful Special Issues published in MDPI journals. This Special Issue concentrates on studying different aspects of fluid dynamics in porous media by means of novel experimental techniques (such as microfluidic devices) and advanced modeling and simulation tools (such as computational fluid dynamics and pore network modeling).
In this Special Issue “Fluid Dynamics, Multi-Phase Flow, and Thermal Recovery Methods”, Hu et al. (2020) investigated experimentally the impact of chemical agents (such as KCl and foams) on the pore blockage and wettability variation in sandstone reservoirs. Due to the monovalent cation property of potassium ion (K+), coinjection of KCl and foams provided a higher oil recovery factor in sandstone reservoirs [6]. Shan and Zhu (2020) developed a mathematical model to analyze the role of various crucial parameters such as crack size, core parameter, and contact forces in the particle migration in tight sandstone reservoirs. They found that pressure gradient can be significantly affected by altering the fluidity index, particle size, and consistency coefficient under fixed conditions [7]. Nesic et al. (2020) developed a numerical model to consider the impact of suspended solids and water injection on the reservoir rock’s permeability reduction. On the basis of the model predictions, situations were identified that can be used to decrease the effect of solid particles during the water injection impairment processes [8]. Lu et al. (2020) revisited the macroscopic parameters in the Brooks and Corey capillary pressure model using pore network simulations of a capillarity-controlled invasion percolation process. On the basis of systematic simulations, it was shown that the irreducible saturation depends on the pore space heterogeneity and topology [9].
Repko et al. (2020) developed a mathematical model to theoretically substantiate the liquid purification efficiency for a hydrocyclone for various screw swirlers blocks. They used wear-resistant and high-strength plastic ZEDEX ZX-324 for swirling block hydrocyclones to provide proper liquid flow [10]. Azma and Zhang (2020) considered a tributary channel and performed numerical simulations using 3D computational fluid dynamics that account for the large eddy turbulence. They found that the fluid flow distribution can be profoundly impacted by the width ratio (ratio of the tributary channel to the main channel) [11]. According to Wei and Zhang’s (2020) findings, various sloshing conditions in filling processes were simulated to numerically analyze the phase-change and pressure curves for a liquid hydrogen storage tank. They found that sloshing conditions can facilitate the liquid flow during the filling processes [12]. Kong et al. (2020) performed an experimental investigation to analyze the liquid jet during the breakup process. It was concluded that the liquid jet Weber number has minimal impact on the droplet size distribution [13]. Ning et al. (2020) used a sintered plate and foam gun as microbubble generators to analyze the foam hydrodynamics in a bubble column. They found that the foam gun can provide a narrower average bubble chord length and a higher gas holdup during gas distribution [14]. Ehyaei et al. (2020) developed a mathematical model to simulate a geothermal plant as a renewable energy resource by implementing an organic Rankine cycle (ORC) coupled with a genetic algorithm. They concluded that the maximum output power and cycle efficiency should be optimized at high temperatures and fluid pressures in geothermal heat exchangers [15]. Shirmohammadi et al. (2020) simulated the CO2 removal from a monoethanol amine-based plant by Aspen HYSYS. The results were validated with field data from Kermanshah Petrochemical Industries Co. It was concluded that the capture efficiency, heat consumption, and plant working capacity can be functionalized in a similar way to the absorber inlet temperature and pressure [16].
To conclude, this Special Issue attempts to provide a diverse range of fluid dynamics-related problems, which are highly relevant in reservoir engineering and chemical engineering, but which have been underexplored in the academic literature.

Author Contributions

Writing—original draft preparation, A.K. and A.D.; writing—review and editing, A.K. and A.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sahimi, M. Flow and Transport in Porous Media and Fractured Rock: From Classical Methods to Modern Approaches, 2nd ed.; Wiley-VCH: Weinheim, Germany, 2011. [Google Scholar]
  2. Xu, Z.; Li, B.; Zhao, H.; He, L.; Liu, Z.; Chen, D.; Yang, H.; Li, Z. Investigation of the effect of nanoparticle-stabilized foam on EOR: Nitrogen foam and methane foam. ACS Omega 2020, 5, 19092–19103. [Google Scholar] [CrossRef] [PubMed]
  3. Davarpanah, A.; Mirshekari, B. Experimental investigation and mathematical modeling of gas diffusivity by carbon dioxide and methane kinetic adsorption. Ind. Eng. Chem. Res. 2019, 58, 12392–12400. [Google Scholar] [CrossRef]
  4. Daryayehsalameh, B.; Nabavi, M.; Vaferi, B. Modeling of CO2 capture ability of [Bmim][BF4] ionic liquid using connectionist smart paradigms. Environ. Technol. Innov. 2021, 22, 101484. [Google Scholar] [CrossRef]
  5. Davarpanah, A. Parametric study of polymer-nanoparticles-assisted injectivity performance for axisymmetric two-phase flow in EOR processes. Nanomaterials 2020, 10, 1818. [Google Scholar] [CrossRef] [PubMed]
  6. Hu, Y.; Cheng, Q.; Yang, J.; Zhang, L.; Davarpanah, A. A laboratory approach on the hybrid-enhanced oil recovery techniques with different saline brines in sandstone reservoirs. Processes 2020, 8, 1051. [Google Scholar] [CrossRef]
  7. Shan, J.; Zhou, X. Starting conditions of particle migration in tight sandstone reservoir development. Processes 2020, 8, 1491. [Google Scholar] [CrossRef]
  8. Nesic, S.; Zolotukhin, A.; Mitrovic, V.; Govedarica, D.; Davarpanah, A. An analytical model to predict the effects of suspended solids in injected water on the oil displacement efficiency during waterflooding. Processes 2020, 8, 659. [Google Scholar] [CrossRef]
  9. Lu, X.; Kharaghani, A.; Adloo, H.; Tsotsas, E. The Brooks and Corey capillary pressure model revisited from pore network simulations of capillarity-controlled invasion percolation process. Processes 2020, 8, 1318. [Google Scholar] [CrossRef]
  10. Repko, A.; Sága, M.; Sentyakov, B.; Sviatskij, V. Development and testing of a block hydrocyclone. Processes 2020, 8, 1577. [Google Scholar] [CrossRef]
  11. Azma, A.; Zhang, Y. Tributary channel width effect on the flow behavior in trapezoidal and rectangular channel confluences. Processes 2020, 8, 1344. [Google Scholar] [CrossRef]
  12. Wei, G.; Zhang, J. Numerical study of the filling process of a liquid hydrogen storage tank under different sloshing conditions. Processes 2020, 8, 1020. [Google Scholar] [CrossRef]
  13. Kong, L.; Lan, T.; Chen, J.; Wang, K.; Sun, H. Breakup processes and droplet characteristics of liquid jets injected into low-speed air crossflow. Processes 2020, 8, 676. [Google Scholar] [CrossRef]
  14. Ning, S.; Jin, H.; He, G.; Ma, L.; Guo, X.; Zhang, R. Effects of the microbubble generation mode on hydrodynamic parameters in gas-liquid bubble columns. Processes 2020, 8, 663. [Google Scholar] [CrossRef]
  15. Ehyaei, M.A.; Ahmadi, A.; Rosen, M.A.; Davarpanah, A. Thermodynamic optimization of a geothermal power plant with a genetic algorithm in two stages. Processes 2020, 8, 1277. [Google Scholar] [CrossRef]
  16. Shirmohammadi, R.; Aslani, A.; Ghasempour, R.; Romeo, L.M. CO2 utilization via integration of an industrial post-combustion capture process with a urea plant: Process modelling and sensitivity analysis. Processes 2020, 8, 1144. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kharaghani, A.; Davarpanah, A. Special Issue “Fluid Dynamics, Multi-Phase Flow, and Thermal Recovery Methods”. Processes 2021, 9, 842. https://doi.org/10.3390/pr9050842

AMA Style

Kharaghani A, Davarpanah A. Special Issue “Fluid Dynamics, Multi-Phase Flow, and Thermal Recovery Methods”. Processes. 2021; 9(5):842. https://doi.org/10.3390/pr9050842

Chicago/Turabian Style

Kharaghani, Abdolreza, and Afshin Davarpanah. 2021. "Special Issue “Fluid Dynamics, Multi-Phase Flow, and Thermal Recovery Methods”" Processes 9, no. 5: 842. https://doi.org/10.3390/pr9050842

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop