DocumentCode :
3169358
Title :
An approach to issue of diagnosing marginal oil wells
Author :
Guliyev, R.A.
Author_Institution :
Azerbaijan State Econ. Univ., Baku, Azerbaijan
fYear :
2013
fDate :
24-28 June 2013
Firstpage :
1499
Lastpage :
1501
Abstract :
Adaptive system of diagnosing a stratum condition on a three-layer neural network basis is offered for duly revealing possible complications in operational oil wells. Structured time series identified as binary matrixes were chosen in the input as forms of representing information on possible conditions of “bottomhole zone - oil well” system.
Keywords :
hydrocarbon reservoirs; neural nets; time series; binary matrix; bottomhole zone-oil well system; marginal oil well diagnosis; operational oil wells; stratum condition; structured time series; three-Iayer neural network basis; Geology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
Type :
conf
DOI :
10.1109/IFSA-NAFIPS.2013.6608624
Filename :
6608624
Link To Document :
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