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A FORECASTING SYSTEM OF RESERVOIR FRACTURES BASED ON ARTIFICIAL NEURAL NETWORK AND BOREHOLE IMAGES INFORMATION –EXEMPLIFIED BY RESERVOIR FRACTURES IN TABNAK FEILD, FARS, IRAN

H. Sarkheil, H. Hassani, F. Alinya, A. A. Enayati, H. Motamedi

First published: 2009DOI pendingView metrics

Abstract

Reservoir fracturing or fissuring is a natural phenomenon and a major factor in many Oil engineering studies. The factors that cause the Reservoir to fracture were analyzed in Tabnak Anticline, in Fars province of Iran using the borehole images information (EMI). A nonlinear simulation and assessment model of reservoir fracturing was established using the artificial neural network (ANN) technology to simulate the structure and function of the neural network (NN) of the human brain with engineering technology. The developed nonlinear modeling and forecasting system was used to assess and forecast the reservoir fracture distribution in Tabnak. The results of this study provided useful and essential information for scientific researches in the areas of Tabnak hydrocarbon field and production hydrocarbon rates assessment.

Publication details

Title
A FORECASTING SYSTEM OF RESERVOIR FRACTURES BASED ON ARTIFICIAL NEURAL NETWORK AND BOREHOLE IMAGES INFORMATION –EXEMPLIFIED BY RESERVOIR FRACTURES IN TABNAK FEILD, FARS, IRAN
Authors
H. Sarkheil, H. Hassani, F. Alinya, A. A. Enayati, H. Motamedi
Proceedings
9th International Multidisciplinary Scientific GeoConference SGEM2009
Publisher
SGEM Scientific GeoConference
Year
2009
Pages
563-570
ISSN
1314-2704
ISBN
954-91818-1-2
Language
en
Publication type
Conference Paper
Keywords
ANNEMIHydrocarbonOil and Gas ExplorationReservoir fracturenonlinear simulation
References6

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  6. Xie G. Earth fissures (in Chinese with English abstract). Earthquake Press, Beijing Environmental, 1988;

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