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Comprehensive Approach for Porous Materials Analysis Using a Dedicated Preprocessing Tool for Mass and Heat Transfer Modeling

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Abstract

The paper presents a comprehensive, newly developed software–poROSE (poROus materials examination SoftwarE) for the qualitative and quantitative assessment of porous materials and analysis methodologies developed by the authors as a solution for emerging challenges. A low porosity rock sample was analyzed and thanks to the developed and implemented methodologies in poROSE software, the main geometrical properties were calculated. A tool was also used in preprocessing part of the computational analysis to prepare a geometrical representation of the porous material. The basic functions as elimination of blind pores in the geometrical model were completed and the geometrical model was exported for CFD software. As a result, it was possible to carry out calculations of the basic properties of the analyzed porous material sample. The developed tool allows to carry out quantitative and qualitative analysis to determine the most important properties characterized porous materials. In presented tool the input data can be images from X-ray computed tomography (CT), scanning electron microscope (SEM) or focused ion beam with scanning electron microscope (FIB-SEM) in grey level. A geometric model developed in the proper format can be used as an input to modeling mass, momentum and heat transfer, as well as, in strength or thermo-strength analysis of any porous materials. In this example, thermal analysis was carried out on the skeleton of rock sample. Moreover, thermal conductivity was estimated using empirical equations.

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References

  1. Krakowska P, Puskarczyk E, Jędrychowski M, Habrat M, Madejski P and Dohnalik M. Innovative characterization of tight sandstones from Paleozoic basins in Poland using X-ray computed tomography supported by nuclear magnetic resonance and mercury porosimetry. Journal Petroleum Science and Engineering, 2018, 166: 389–405.

    Article  Google Scholar 

  2. Janc K, Tarasiuk J, Bonnet ASand Lipinski P. Semiautomated algorithm for cortical and trabecular bone separation from CT scans. Computer Methods in Biomechanics & Biomechanical Engineering, 2011, 14/1: 217–218.

    Article  Google Scholar 

  3. Su B-L, Sanchez C and Yang X-Y. Hierarchically Structured Porous Materials: From Nanoscience to Catalysis, Separation, Optics, Energy, and Life Science. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany, 2011.

    Google Scholar 

  4. Cui A, Wust R, Nassichuk B, Glover K, Brezovski R and Twemlow C. A Nearly Complete Characterization of Permeability to Hydrocarbon Gas and Liquid for Unconventional Reservoirs: A Challenge to Conventional Thinking. Unconventional Resources Technology Conference, 12–14 August, Denver, Colorado, USA, 2013, 1–17.

    Google Scholar 

  5. Peng S and Loucks B. Permeability measurements in mudrocks using gas-expansion methods on plug and crushed-rock samples. Marine Petroleum Geology, 2016, 73: 299–310.

    Article  Google Scholar 

  6. Suarez-Rivera R, Chertov M, Willberg D, Green S and Keller J. Understanding Permeability Measurements in Tight Shales Promotes Enhanced Determination of Reservoir Quality, SPE Canadian Unconventional Resources Conference, 30 October-1 November, Calgary, Alberta, Canada, 2012, 1–13.

    Google Scholar 

  7. Civan F. Porous media transport phenomena. John Wiley & Sons Inc., New Jersey, 2011.

    Book  Google Scholar 

  8. Krakowska P, Madejski P and Jarzyna J. Fluid flow modeling in tight Carboniferous sandstone. EAGE EartDoc database, 75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013, 10–13 June, London, United Kingdom, 2013, DOI: 10.3997/2214-4609.20130692

    Google Scholar 

  9. Krakowska P, Madejski P and Jarzyna J. Permeability estimation using CFD modeling in tight Carboniferous sandstone. EAGE EartDoc database, 76th EAGE Conference & Exhibition incorporating SPE EUROPEC 2014, 16–19 June, Amsterdam, Netherlands, 2014, DOI: 10.3997/2214-4609.20141607

    Google Scholar 

  10. Madejski P, Krakowska P, Puskarczyk E, Habrat M, Jędrychowski M. Gas flow modeling for permeability determination in porous rock sample using Maxwell slip model. Conference Materials of XIInternational Conference on Computational Heat, Mass and Momentum Transfer, Kraków 21–24 May, 2018, 1–8.

    Google Scholar 

  11. Habrat M, Krakowska P, Puskarczyk E, Jędrychowski M and Madejski P. The concept of a computer system for interpretation of tight rocks using X-ray computed tomography results, Studia Geotechnica et Mechanica, 2017, 39(1): 101–107.

    Article  ADS  Google Scholar 

  12. Di Sipio E, Chiesa S, Destro E, Galgaro A, Giaretta A, Gola G, Manzella A. Rock Thermal Conductivity as Key Parameter for Geothermal Numerical Models. Energy Procedia, 2013, 40: 87–94

    Article  Google Scholar 

  13. Vélez MI, Blessent D, Córdoba S, López-Sánchez J, Raymond J, Parra-Palacio E. Geothermal potential assessment of the Nevado del Ruiz volcano based on rock thermal conductivity measurements and numerical modeling of heat transfer. Journal of South American Earth Sciences, 2018, 81: 153–164

    Article  ADS  Google Scholar 

  14. Jaoude IB, Novakowski K, Kueper B. Identifying and assessing key parameters controlling heat transport in discrete rock fractures. Geothermics, 2018, 75: 93–104

    Article  Google Scholar 

  15. Guo Ch, Nian X, Liu Y, Qi Ch, Song J, Yu W. Analysis of 2D Flow and Heat Transfer Modeling in Fracture of Porous Media. Journal of Thermal Science, 2017, 26(4): 331–338.

    Article  ADS  Google Scholar 

  16. Mielke P, Bar K, Sass I. Determining the relationship of thermal conductivity and compressional wave velocity of common rock types as a basis for reservoir characterization. Journal of Applied Geophysics, 2017, 140: 135–144.

    Article  ADS  Google Scholar 

  17. Rerak M, Ocłoń P. Thermal analysis of underground power cable system. Journal of Thermal Science, 2017, 26: 465–471.

    Article  ADS  Google Scholar 

  18. Ocłoń P, Bittelli M, Cisek P, Kroener E, Pilarczyk M, Taler D, Rao RV, Vallati A. The performance analysis of a new thermal backfill material for underground power cable system. Applied Thermal Engineering, 2016, 108: 233–250.

    Article  Google Scholar 

  19. Wu Y, Shi Y, Cai N, Ni M. Thermal Modeling and Management of Solid Oxide Fuel Cells Operating with Internally Reformed Methane. Journal of Thermal Science, 2018, 27(3): 203–212.

    Article  ADS  Google Scholar 

  20. Liu J., Liu S, Sun S., Zhou W, I.H.I. S, Wang M,. Yan Y. Tomographic data fusion with CFD simulations associated with a planar sensor. Journal of Thermal Science, 2017, 26(2): 175–182.

    Article  ADS  Google Scholar 

  21. Carmak V, Rybach L, Thermal properties. In: Geophysics - Physical Properties of Rocks, Chapter: Landolt-Bornstein Numerical Data and Functional Relationships in Science and Technology, New Series, Group V: Geophysics and Space Research, Springer-Verlag Berlin–Heidelberg, New York, M. Beblo (Eds.), 1982

    Google Scholar 

  22. Roy RF, Beck AE, Touloukian YS. Thermophysical properties of rock. In: Physical properties of rock and minerals, McGraw-Hill publisher/CINDAS data Series on material properties, vol. II-2, Columbus, USA, YSTouloukian (Eds.), 1981

    Google Scholar 

  23. Schon JH. Physical properties of rocks: fundamentals and principles of petrophysics. Elsevier B.V., Amsterdam, The Netherlands, 2004

    Google Scholar 

  24. Poelchau HS, Baker DR, Hantschel Th, Horsfield B, Wygrala B. Basin simulation and the design of the conceptual basin model. In: Petroleum and basin evaluation, Welte DH, Horsfield B, Baker DR (Eds), Springer, Berlin, 1997.

    Google Scholar 

Download references

Acknowledgments

Project is financed by the National Centre for Research and Development in Poland, program LIDER VI, project no. LIDER/319/L–6/14/NCBR/2015: Innovative method of unconventional oil and gas reservoirs interpretation using computed X-ray tomography.

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Authors and Affiliations

  1. Department of Power Systems and Environmental Protection Facilities, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Kraków, 30-059, Poland

    Paweł Madejski

  2. Department of Geophysics, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Kraków, 30-059, Poland

    Paulina Krakowska & Edyta Puskarczyk

  3. Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Kraków, 30-059, Poland

    Magdalena Habrat

  4. Department of Condensed Matter Physics, Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Kraków, 30-059, Poland

    Mariusz Jędrychowski

Authors
  1. Paweł Madejski
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  2. Paulina Krakowska
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  3. Magdalena Habrat
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  4. Edyta Puskarczyk
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  5. Mariusz Jędrychowski
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Correspondence to Paulina Krakowska.

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Madejski, P., Krakowska, P., Habrat, M. et al. Comprehensive Approach for Porous Materials Analysis Using a Dedicated Preprocessing Tool for Mass and Heat Transfer Modeling. J. Therm. Sci. 27, 479–486 (2018). https://doi.org/10.1007/s11630-018-1043-y

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  • DOI: https://doi.org/10.1007/s11630-018-1043-y

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