TY  - DATA
AU  - Ocanto,L.
AU  - Rojas,A.
AU  - Rojas,A.
ED  - Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
ED  - Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
TI  - Artificial-Lift Systems Pattern Recognition Using Neural Networks: SPE 69405
PY  - 2001///
CY  - Dallas, Texas
PB  - Society of Petroleum Engineers
N2  - Artificial Neural Networks (ANN) are computational algorithms well suited to identify non-evident regularities and correlations in data. ANN are especially useful when there is missing or noisy process data, and when a mathematical model of the process is not readily available, as is the case with some Artificial Lift methods. Some ANN models exhibit excellent dimensionality reduction and visualization capabilities, mapping non-linear statistical relationships between high-dimensional data into simple geometric relationships, preserving the most important topological relationships of the data set. Thus, useful insight on the behavior of the process under study can be gained and used in its analysis and diagnosis. All this makes ANN a very useful tool in the exploratory phase of data mining. Results of several case studies applying ANN in pattern recognition of some Artificial Lift systemas are presented
UR  - https://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69405.pdf
ER  -