01621nmc a2200181 4500 20260520010158.0 260224s xxu Aiassa, Roberto E. 45203 Jornadas Latinoamericanas de Refinación (2006 : 30 oct / 2 nov. : Mendoza, Argentina) 45182 Online pattern recognition: distillation towers' jet flooding detection 2011-04-18 ; 05/04/2011 6 p. Transcripción del resumen del autor. Originally this application was developed (December'00) in order to detect an abnormal behavior on highly cycling variables (temperatures) on the Delayed Coker unit analyzing firs and second derivatives, inflection, maximum, minimums, and their sequence. The very same algorithm has been used for flooding detection on our Cat Cracker's Light Ends deethanizer tower. Due to lack of appropriate standard measurements (delta pressure and temperature), the algorithm was used to detect singularities on available thermocouples readings. Internal vapor and reflux traffic usually begins to "chatter", or get noisy prior to the onset of jet flooding affecting thermocouples located below the flooding zone. In order to recognize the abnormal behavior, the algorithm just identifies when any temperature's second derivative is beyond its limits, triggering an alarm to the console operator some 45-60 minutes before jet flooding's classical symptoms become evident. https://biblioteca.iapg.org.ar/ArchivosAdjuntos/JornadasLatRefinacion2006/015.pdf CONGTP 174561 174561 0 0 0 0 242380 CDIAPG CDIAPG 2026-03-05 200052582 0 200052582 2026-03-05 16:11:57 2026-03-05 ARCHIVO