| 000 | 01800nmc a2200277 4500 | ||
|---|---|---|---|
| 005 | 20260520005606.0 | ||
| 008 | 260224s2001 xxu ing | ||
| 041 | _aInglés | ||
| 245 | 0 | 0 |
_aARTIFICIAL NEURAL NETWORKS APPLIED TO THE OPERATION OF A FLUID CATALYTIC CRACKING (FCC) UNIT _bSPE 69501 |
| 260 |
_aDallas, Texas _bSociety of Petroleum Engineers _c2001 |
||
| 270 | _a12/09/06 ; 17/07/01 | ||
| 520 | _aA model, based on artificial neural networks (ANN), for a fluid catalytic cracking (FCC) unit is developed. The ANN model of the plant was developed using process and laboratory data directly from a refinery data acquisition system. And it used to predict process variables and estimate several product quality properties. The empirical model was accurate up to 98.0 % when tested on experimental data not used during training, which is an outstanding performance. The present paper shows how a neural network, three-layered perceptron, can be used effectively to simulate the actual behaviour of refining units, specifically a fluid catalytic cracking (FCC) unit. | ||
| 942 | _cCONGTP | ||
| 100 | 1 |
_aPérez, José R. _96164 |
|
| 100 | 1 |
_aLópez, Roberto _96165 |
|
| 100 | 1 |
_aDassori, Carlos G. _96166 |
|
| 100 | 1 |
_aRanson, Aaron _96167 |
|
| 111 | 2 |
_aLatin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina) _95738 |
|
| 700 | 1 |
_aLópez, Roberto _96165 |
|
| 700 | 1 |
_aDassori, Carlos G. _96166 |
|
| 700 | 1 |
_aRanson, Aaron _96167 |
|
| 711 | 2 |
_aLatin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina) _95738 |
|
| 800 | 1 |
_aPérez, José R. _96164 |
|
| 999 |
_c131012 _d131012 |
||
| 856 | _uhttps://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69501.pdf | ||