TY - GEN
T1 - Parameters Estimation in petroleum wells using artificial intelligence
AU - Camargo, Edgar
AU - Aguilar, Jose
AU - Ríos, Addison
AU - Rivas, Francklin
AU - Aguilar-Martin, Joseph
PY - 2009
Y1 - 2009
N2 - In this work, the Parameters Estimation in petroleum wells is presented; it is based on Intelligent Systems (neural networks and fuzzy logic). For validating the results, the estimation is applied in wells that need artificial lift using well heading data (gas and production pressure).
AB - In this work, the Parameters Estimation in petroleum wells is presented; it is based on Intelligent Systems (neural networks and fuzzy logic). For validating the results, the estimation is applied in wells that need artificial lift using well heading data (gas and production pressure).
KW - Artificial gas lift wells
KW - Neo-fuzzy models
KW - Oil system production
KW - Parameters estimation
UR - https://www.scopus.com/pages/publications/74949085185
M3 - Conference proceeding
AN - SCOPUS:74949085185
SN - 9789604740970
T3 - Proceedings of the 13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference
SP - 173
EP - 178
BT - Proceedings of the 13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference
T2 - 13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference
Y2 - 22 July 2009 through 24 July 2009
ER -