01848nmc a2200229 4500 20260520005600.0 260224s2001 xxu ing Inglés Artificial-Lift Systems Pattern Recognition Using Neural Networks SPE 69405 Dallas, Texas Society of Petroleum Engineers 2001 12/09/06 ; 17/07/01 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. CONGTP Ocanto, L. 5800 Rojas, A. 5801 Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina) 5738 Rojas, A. 5801 Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina) 5738 Ocanto, L. 5800 130851 130851 https://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69405.pdf 0 0 0 0 201773 BVIAPG BVIAPG 2026-03-03 200002893 0 200002893 2026-03-03 01:41:00 2026-03-03 ARCHIVO