Comprehensive Approach for Porous Materials Analysis Using a Dedicated Preprocessing Tool for Mass and Heat Transfer Modeling
- 39 Downloads
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.
Keywordsporous materials rock software thermal properties preprocessing
Unable to display preview. Download preview PDF.
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.
- 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.CrossRefGoogle Scholar
- 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
- 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
- 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
- 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: 10.3997/2214-4609.20130692Google Scholar
- 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: 10.3997/2214-4609.20141607Google Scholar
- 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
- 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: 153–164ADSCrossRefGoogle Scholar
- 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.), 1982Google Scholar
- 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.), 1981Google Scholar
- Schon JH. Physical properties of rocks: fundamentals and principles of petrophysics. Elsevier B.V., Amsterdam, The Netherlands, 2004Google Scholar
- 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