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المؤلفJarrar, Zaher A.
المؤلفAl-Raoush, Riyadh I.
المؤلفHannun, Jamal A.
المؤلفAlshibli, Khalid A.
تاريخ الإتاحة2023-06-04T07:16:32Z
تاريخ النشر2021
اسم المنشورSoil Science Society of America Journal
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1002/saj2.20289
معرّف المصادر الموحدhttp://hdl.handle.net/10576/43856
الملخصTortuosity has a significantimpact on flow and transport characteristics of porous media and plays a major role in many applications such as enhanced oil recovery, contaminant transport in aquifers, and fuel cells. Most analytical and theoretical models for determining tortuosity have been developed for ideal systems with assumptions that might not be representative of natural porous media. In this paper, geometric tortuosity was directly determined from three-dimensional (3D) tomography images of natural unconsolidated sand packs with a wide range of porosity, saturation, grain size distribution, and morphology. One hundred and thirty natural unconsolidated sand packs were imaged using 3D monochromatic and pink-beam synchrotron microcomputed tomography imaging. Geometric tortuosity was directly determined from the 3D images using the centroids of the connected paths in the flow direction of the media, and multivariate nonlinear regression analysis was adopted to develop a simple practical model to predict tortuosity of variably saturated natural unconsolidated porous media. Wetting phase saturation was found to provide a good estimate of relative tortuosity with an (Formula presented.) value of.93, even with a porosity variation between 0.3 and 0.5 of the porous media systems. The proposed regression model was compared to theoretical and analytical models available in the literature and was found to provide better estimates of geometric tortuosity with an (Formula presented.) value of.9 and a RMSE value of 0.117. 2021 The Authors. Soil Science Society of America Journal published by Wiley Periodicals LLC on behalf of Soil Science Society of America
راعي المشروعOpen Access funding provided by the Qatar National Library. This publication was made possible by funding from Grant no. NPRP8-594-2-244 from the Qatar national research fund (a member of Qatar Foundation) and the Institute for a Secure and Sustainable Environment (ISSE), University of Tennessee-Knoxville, USA. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of funding agencies. The authors would like to thank Mr. Wadi Imseeh for his help during scanning. This paper used resources of the Advanced Photon Source (APS), a USDOE Office of Science User Facility operated for the USDOE Office of Science by Argonne National Laboratory (ANL) under Contract no. DE-AC02-06CH11357. The PSMT images presented in this paper were collected using the X-ray Operations and Research Beamline Station 13-BMD at Argonne Photon Source (APS), ANL. We thank Dr. Mark Rivers of APS for help in performing the SMT scans. We also acknowledge the support of GeoSoilEnviroCARS (Sector 13), which is supported by the National Science Foundation, Earth Sciences (EAR-1128799), and the USDOE, Geosciences (DE-FG02-94ER14466). The authors would also like to thank the anonymous reviewers who contributed with comments and suggestions to improve this paper.
اللغةen
الناشرJohn Wiley and Sons Inc
الموضوعAquifers
Computerized tomography
Enhanced recovery
Fuel cells
Geometry
Grain size and shape
Groundwater pollution
Hydrogeology
Molecular biology
Petroleum transportation
Porosity
Regression analysis
Contaminant transport
Enhanced oil recovery
Grain size distribution
Microcomputed tomography
Multivariate non-linear regression
Threedimensional (3-d)
Unconsolidated porous media
Unconsolidated sands
Porous materials
estimation method
geometry
imaging method
numerical model
pollutant transport
porous medium
saturated medium
three-dimensional modeling
tomography
tortuosity
العنوانNew model for estimating geometric tortuosity of variably saturated porous media using 3D synchrotron microcomputed tomography imaging
النوعArticle
الصفحات1867-1879
رقم العدد6
رقم المجلد85
dc.accessType Open Access


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