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Faculty of Environmental Sciences
Document Details
Document Type
:
Article In Conference
Document Title
:
INFLUENCE OF THE FINE-SCALE HETEROGENEITY PATTERNS ON LARGE-SCALE BEHAVIOR OF MISCIBLE TRANSPORT IN POROUS MEDIA
تأثير أنماط عدم التجانس ذات المقياس الناعم على سلوك المقياس الكبير للنقل الممتذج فى الاوساط المسامية
Document Language
:
English
Abstract
:
An extensive series of numerical simulations on two-dimensional flow and miscible transport are carried out. The purpose of performing these simulations is to study the influence of fine-scale heterogeneity patterns (i.e. horizontal laminations, cross-bedding at 45_ and 135_) with short range and long range correlation structure on large-scale behaviour of miscible transport in porous media. Synthetic heterogeneous structures have been generated using newly developed stochastic techniques (e.g. the coupled Markov chain method) to model the subsurface formations in various configurations, using realistic characteristics, and the tree-indexed Markov chain method to merge these heterogeneities at various scales. The results of the simulation are compared with simulations on a reference model of heterogeneity where there is no fine-scale heterogeneity. The simulations show that the variation in the fine-scale heterogeneity inside the large-scale lithological units has considerable impact on concentration distribution and the spreading of miscible plumes. The combination of the two stochastic techniques (the coupled Markov chain model and the tree-indexed Markov chain) is a useful tool to study multi-scale transport behaviour in heterogeneous media. The fine-scale heterogeneity enhances the mixing process, but the definition of an asymptotic giga-scopic dispersion at field scale is still questionable.
Conference Name
:
7th European Conference on The Mathematics of Oil Recovery, Baveno, Italy, 5-8 . September 2000.V25.
Publishing Year
:
1421 AH
2000 AD
Article Type
:
Article
Added Date
:
Sunday, March 11, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
عمرو محمد الفقي
Elfeki, Amro Mohamed
Investigator
Doctorate
aelfeki@kau.edu.sa
Files
File Name
Type
Description
32609.pdf
pdf
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