Journal of Siberian Federal University. Engineering & Technologies / Use of the Cluster Analysis and Artificial Neural Network Technology for Log Data Interpretation

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Issue
Journal of Siberian Federal University. Engineering & Technologies. 2011 4 (4)
Authors
Chashkov, Anatoly V.; Kiselev, Valery M.
Contact information
Chashkov, Anatoly V. : OJSC Verkhnechonskneftegaz , 295 B Baikalskaya St., Irkutsk, 664050 Russia; Kiselev, Valery M. : Siberian Federal University , 79 Svobodny, Krasnoyarsk, 660041 Russia , e-mail: kvm@akadem.ru
Keywords
cluster analysis; artificial neural networks; well logging; lithotypes; porosity; permeability
Abstract

Methods of the cluster analysis and artificial neural networks implemented in Schlumberger Techlog software modules were used for processing and interpretation of data on wells from the Verkhnechonskoe Oil and Gas Condensate Field. It was demonstrated that clusterization of data allows for significant improvement in reliability and accuracy of lithotype determinations as well as porosity and permeability of rocks.

Pages
453-462
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/2485

Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

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