Scientific and technical journal

«Proceedings of Gubkin University»

ISSN 2073-9028

Proceedings of Gubkin University
1 (258)
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APPLYING NEURAL NETWORK METHOD TO FORECAST WELL PARAMETRES AFTER FRACTURING

UDC: 622.276
DOI: -

Authors:

Redikultsev Sergey A.1,
Liplyalin Andrey V.1,
Paliy Alexandr O.1

1 Gubkin Russian State University of Oil and Gas

Keywords: oilfield, formation, well, forecast, parameters, neural network method

Annotation:

The results of applying the neural network method to forecast well parameters after fracturing at a major OOO «Gazpromneft-Noyabrskneftegaz» oil field are presented. The method showed high quality forecast.

Bibliography:

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2. Короткий С. Нейронные сети. Основные положения - ihtik.lib.ru (24,9 Kb).
3. Короткий С. Нейронные сети. Алгоритм обратного распространения - ihtik.lib.ru