Graduated from Moscow Institute of Oil and Gas, specialization «applied mathematics» (1990).
Head of Department of JSC «Central Geophysical Expedition», Moscow, Russia.
Has 16 published works.
Research interests: data analysis, neural networks.
Economy, information technology, resource management
Section editor – PhD in economics Krasnov O.S.
|Article # 3_2010||submitted on 12/14/2009 displayed on website on 03/10/2010|
|12 p.||Loginov D.V., Lavrik S.A.|
|Some methods of determining an informative set of seismic attributes for forecasting reservoir properties|
|The application of statistical and neural network methods for determining an informative set of seismic attributes for efficient solving the problems of forecasting the filtration-capacity properties of reservoir rocks is considered. The description of these methods, the technique of their application and approbation and also a comparative analysis of the received results are given.
Key words: comparative analysis, seismic attribute, method of basic components, method of basic factors, algorithm of importance estimation, map of forecast parameter, multi-layer neural network, trust interval.
|article citation||Loginov D.V., Lavrik S.A. Some methods of determining an informative set of seismic attributes for forecasting reservoir properties // Neftegazovaya Geologiya. Teoriya I Praktika. – 2010. - V.5. - #1.- http://www.ngtp.ru/rub/3/3_2010.pdf|