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Probabilistic neural method combined with radial-bias functions applied to reservoir characterization in the Algerian Triassic province
In this paper, we combine a probabilistic neural method with radial-bias functions in order to construct the lithofacies of the wells DF01, DF02 and DF03 situated in the Triassic province of Algeria (Sahara). The determination of lithofacies is a crucial problem in reservoir characterization. Our objective is to facilitate the experts' work in the geological domain and allow them to obtain quickly the structure and nature of the land around the drilling. This study intends to design a tool that helps automatic deduction from numerical data. We use a probabilistic formalism to enhance the classification process initiated by a self-organized map procedure. Our system gives the lithofacies, from well-log data, of the reservoir wells concerned in a way that is easy to read by a geology expert who identifies the potential for oil production at a given source and so forms the basis for estimating the financial returns and economic benefits.
Probabilistic neural method combined with radial-bias functions applied to reservoir characterization in the Algerian Triassic province
In this paper, we combine a probabilistic neural method with radial-bias functions in order to construct the lithofacies of the wells DF01, DF02 and DF03 situated in the Triassic province of Algeria (Sahara). The determination of lithofacies is a crucial problem in reservoir characterization. Our objective is to facilitate the experts' work in the geological domain and allow them to obtain quickly the structure and nature of the land around the drilling. This study intends to design a tool that helps automatic deduction from numerical data. We use a probabilistic formalism to enhance the classification process initiated by a self-organized map procedure. Our system gives the lithofacies, from well-log data, of the reservoir wells concerned in a way that is easy to read by a geology expert who identifies the potential for oil production at a given source and so forms the basis for estimating the financial returns and economic benefits.
Probabilistic neural method combined with radial-bias functions applied to reservoir characterization in the Algerian Triassic province
Probabilistic neural method for reservoir characterization
S Chikhi (author) / M Batouche (author)
Journal of Geophysics and Engineering ; 1 ; 134-142
2004-06-01
9 pages
Article (Journal)
Electronic Resource
English
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