The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 29-623
Full Name: Jose Aguilar
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: CEMISID, Dept. de Computacion, Fac. de Ingenieria, Universidad de los Andes
Country: VENEZUELA
Tel: 58.274.2402914
Tel prefix:
Fax: 58.274.2402872
E-mail address: aguilar@ula.ve
Other E-mails: aguilarjos@gmail.com
Title of the Paper: A Neo-Fuzzy Approach for Bottom Parameters Estimation in Oil Wells
Authors as they appear in the Paper: EDGAR CAMARGO, JOSE AGUILAR, ADDISON RÍOS, FRANCKLIN RIVAS, JOSEPH AGUILAR-
Email addresses of all the authors: edgarc@ula.ve,aguilar@ula.ve,ilich@ula.ve,rivas@ula.ve,aguilar@laas.fr.
Number of paper pages: 10
Abstract: In this work, an approach for the bottom parameters estimation in oil wells is presented. It is based on neural networks and fuzzy logic, specifically on the neo-fuzzy-neuron model. We propose a neo-fuzzy system compose by two neo-fuzzy neurons. For validating the results, the estimation is applied in oil wells based on the artificial gas lift method, using variables of the head of the wells, particularly the gas and production pressures.
Keywords: neuro-fuzzy models, oil system production, artificial gas lift wells, parameters estimation, neo-fuzzy neurons, oil wells
EXTENSION of the file: .doc
Special (Invited) Session: Parameters Estimation in petroleum wells using artificial intelligence
Organizer of the Session: 620-194
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