Document Details

Document Type : Article In Journal 
Document Title :
Multi-scale and multi-resolution stochastic modeling of subsurface heterogeneity by tree-indexed Markov chains
النمذجة العشوائية ( التخمينية ) ذات المقياس والتحليل المتعدد لعدم التجانس للطبقات تحت السطحية بإستخدام سلاسل ماركوف المفهرسة على شجرة .
 
Document Language : English 
Abstract : A new methodology is proposed to handle multi-scale heterogeneous structures. It can be of importance in the field of hydrogeology and for petroleum engineers who are interested in characterizing subsurface heterogeneity at various scales. The framework of this methodology is based on a coarse to fine scale representation of the heterogeneous structures on trees. Different depths in the tree correspond to different spatial scales in representing the heterogeneous structures on trees. On these trees a Markov chain is used to describe scale to scale transitions and to account for the uncertainty in the stochastically generated images. We focus in this work on the description and application of the methodology to synthetic data that are geologically realistic. The methodology is flexible. Conditioning on field data and measurements is straightforward. Non-stationary and stationary fields, compound and nested structures can be addressed. Keywords: multi-scales, stochastic modeling, heterogeneity, tree-indexed Markov chains, subsurface characterization 
ISSN : 4785 
Journal Name : Computational Geosciences 
Volume : 5 
Issue Number : 5 
Publishing Year : 1422 AH
2001 AD 
Article Type : Article 
Added Date : Monday, March 12, 2012 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
عمرو محمد الفقيElfeki, Amro MohamedInvestigatorDoctorateaelfeki@kau.edu.sa

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 32640.pdf pdf 

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