Correct estimation of permeability using experiment and simulation
Type
ArticleKAUST Department
Physical Science and Engineering (PSE) DivisionComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC)
Resilient Computing and Cybersecurity Center
Energy Resources and Petroleum Engineering Program
Date
2022-12-05Permanent link to this record
http://hdl.handle.net/10754/686233
Metadata
Show full item recordAbstract
Estimation of permeability of porous media dates back to Henry Darcy [H. Darcy, Les Fontaines Publiques de la Ville de Dijon (Victor Dalmont, 1856)], and its knowledge is essential in many scientific and engineering endeavors. Despite apparent simplicity of permeability measurements, the literature data are scattered, and this scatter not always can be attributed to the precision of experiment or simulation or to sample variability. Here, we demonstrate an excellent agreement (<1%) between experiments and simulations, where experimental results are extensive and stable, while flow is simulated from first principles, directly on three-dimensional images of the sample, and without fitting parameters. Analyzing when experiments and simulations agree reveals a major flaw affecting many experimental measurements with the out-of-sample placement of pressure ports, including industry standards. The flaw originates from (1) incorrect calculation of the applied pressure gradient, (2) omitting virtual part of the measured system, and (3) pressure loss at the sample–tube contact. Contrary to common wisdom, the relative magnitude of (3) is defined by the sample–tube diameter ratio and is independent of the size of sample pores. Our findings are applicable to a wide range of permeability measurements, including geological-sample-type (Hassler cell) and membrane-type. The reported pressure loss (3) also affects two-phase flow measurements, such as capillary pressure estimation. Removing or taking the flaw into account advances the understanding and control of flow-related processes in complex geometries.Citation
Khirevich, S., Yutkin, M., & Patzek, T. W. (2022). Correct estimation of permeability using experiment and simulation. Physics of Fluids, 34(12), 123603. https://doi.org/10.1063/5.0123673Sponsors
S.K. acknowledges Alexander Kurilik and Vasily Belokhin for numerous discussions on the fundamentals of computed tomography; Evstigneev Nikolay and Dmitry Logashenko for discussions on theoretical aspects of the Stokes equation; Kenneth Kennedy and the cleanroom staff of the KAUST Nanofabrication Core Lab for co-design and fabrication of the silicon meshes; Ernest Neil Davison for accurate glass blowing of the sample tubes and KAUST Workshop for fabrication of PVC plugs and Teflon CT holder; Marijn Boon, Manuel Dierick, and Wesley De Boever (XRE Tescan) for discussions on the usage of XRE Tescan hardware and software; and Paolo Macini for sharing details on their experimental study. We are grateful for the allocation of computational resources by the Supercomputing Laboratory at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. This work was supported through funding to the Ali Al-Naimi Petroleum Engineering Research Center (ANPERC) at KAUST.Publisher
AIP PublishingJournal
Physics of FluidsAdditional Links
https://aip.scitation.org/doi/10.1063/5.0123673Relations
Is Supplemented By:- [Dataset]
Khirevich, S., Yutkin, M. P., & Patzek, T. W. (2022). Pressure and viscosity logs for permeability estimation of P3 and P4 samples. Experimental permeability values. 2D optical scans of beads1 and beads2. [Data set]. Figshare+. https://doi.org/10.25452/FIGSHARE.PLUS.16867417. DOI: 10.25452/figshare.plus.16867417 Handle: 10754/686863 - [Dataset]
Khirevich, S., Yutkin, M. P., & Patzek, T. W. (2022). 3D x-ray computed tomography images of packed glass beads scanned at 18 resolutions (2D projections and 3D gray reconstructions) [Data set]. Figshare+. https://doi.org/10.25452/FIGSHARE.PLUS.16850653. DOI: 10.25452/figshare.plus.16850653 Handle: 10754/686864 - [Dataset]
Khirevich, S., Yutkin, M. P., & Patzek, T. W. (2022). 3D x-ray computed tomography images of packed glass beads scanned at 18 resolutions (gray and segmented, with simulated permeability values) [Data set]. Figshare+. https://doi.org/10.25452/FIGSHARE.PLUS.16821412. DOI: 10.25452/figshare.plus.16821412 Handle: 10754/686869
ae974a485f413a2113503eed53cd6c53
10.1063/5.0123673
Scopus Count
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