Scholarly record
APPLICATION OF NEURAL NETWORK METHOD OF LOG PREDICTION IN PETROLEUM EXPLORATION “A CASE STUDY IN SOUTH WEST OIL FIELD, IRAN”
Abstract
Petrophysical evaluation is one of the important stages in petroleum exploration activities and reservoir analysis. When a log is missing in a drilling well, petrophysiests hope to deduce it from other logs available in another part of the well or in neighboring wells, in order to define true petrophysic evaluation for corresponding well. This paper presented here, is an artificial neural networks (ANNs) modeling in one of the carbonate reservoirs in the south west of Iran. In this study, three separate ANN are applied for predict computed gamma ray log (CGR). Initially, density (RHOB), neutron (NPHI), sonic (DT) and sum gamma ray (SGR) logs were applied for input. Then depths data related to the above data were added to input, and finally results of the two networks have been compared. This comparison has shown that the accuracy of the model in the third case has been significantly improved.
Publication details
References6
. Dominique Frayssinet, Sylvie Thiria, Fouad Badran, and Louis Briqueu,2000, Use of neural networks in log's data processing: prediction and rebuilding of lithologic facies, petrophysics meets geophysics, Paris, France , 6-8 November 2000
. Bhatt A. and Helle H.B., 2002. Committee neural networks for porosity and permeability prediction from well logs. Geophysical prospecting ,50,645-660
. Gottlib-Zeh S., Briqueu L. and Veillerette A. (1999): Indexed Self-Organization Map: a new calibration system for a geological interpretation of logs. In Proceedings of AMG'99, VI, pp 183-188,. Lippard, Naess and Sinding-Larsen Eds Norway.
. Thiria S., Lechevallier Y., Gascuel O. et Canu S. (1997): Statistiques et methodes neuronales. Dunod. Actes des journees scientifiques CNRS/ANDRA. Bagnols-sur-Ceze, Etude du Gard Rhodanien. Editions EDP sciences.
. Bishop C. (1995): Neural Networks for Pattern Recognition. Oxford University Press.
. Mejia C. (1992): Architectures Neuronales pour l'Approximation des Fonctions de Transfert: application a la teledetection. These de doctorat, Universite de Paris Sud, centre d'Orsay.
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