Artificial Neural Networks Applied to the Operation of VGO Hydrotreaters (Record no. 131010)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02667nmc a2200277 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2001 xxu ing |
| 041 ## - IDIOMA | |
| Idioma | Inglés |
| 245 00 - TITULO | |
| Título | Artificial Neural Networks Applied to the Operation of VGO Hydrotreaters |
| Subtítulo | SPE 69500 |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | Dallas, Texas |
| Nombre de publicador, distribuidor, etc. | Society of Petroleum Engineers |
| Fecha de publicación, distribución, etc. | 2001 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 12/09/06 ; 17/07/01 |
| 520 ## - RESUMEN, ETC | |
| Resumen | This study introduces an accurate, generalized method based on a three-layered perceptron artificial neural network (ANN) trained to estimate the continuous operation of a vacuum gas oil hydrotreater. The ANN models predict the fractional composition of paraffins, naphthenes, and aromatics distribution (mono, di, tri and tetra aromatics) contained in a vacuum gas oil (VGO) mixture. Moreover, ANN models were built to simulate the behavior of several process variables such as product flowrate, average reactor temperature and product quality (sulfur content, API gravity, TBP50, metals content, and refractive index). VGOs proceeding from commercial hydrotreaters were employed to illustrate the use of ANN models to estimate the VGO composition in a very simple manner with no need for knowledge of the system. The artificial neural net models use API gravity, TBP50 and the refractive index of the desired vacuum gas oil to be studied. These empirical models were tested on experimental data not used during training showing an average error of 0.5 % in the prediction of VGO paraffins, naphthenes and total aromatics content, which is an outstanding performance compared with traditional correlations proposed in the literature. The hydrotreater reactor ANN models were compared against process data collected from the CRP-Amuay refinery data acquisition system. The results using the ANN model to estimate the reactor EIT (Equivalent isothermal temperature) indicate an average error of 4 °F. Additionally, the product sulfur content prediction reports an average error equal to 6 wt%. |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Congresos (trabajos presentados) |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Lopez, R. |
| 9 (RLIN) | 6159 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Perez, J. |
| 9 (RLIN) | 6161 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Dassori, C.G. |
| 9 (RLIN) | 6160 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Ranson, A. |
| 9 (RLIN) | 6162 |
| 111 2# - AUTORIDAD DE CONGRESO | |
| Nombre de congreso | Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina) |
| 9 (RLIN) | 5738 |
| 700 1# - OTRA AUTORIDAD PERSONAL | |
| Nombre | Perez, J. |
| 9 (RLIN) | 6161 |
| 700 1# - OTRA AUTORIDAD PERSONAL | |
| Nombre | Dassori, C.G. |
| 9 (RLIN) | 6160 |
| 700 1# - OTRA AUTORIDAD PERSONAL | |
| Nombre | Ranson, A. |
| 9 (RLIN) | 6162 |
| 711 2# - ENTRADA AGREGADA--NOMBRE DE REUNIÓN | |
| Nombre de congreso/reunión o jurisdicción como elemento de entrada | Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina) |
| 800 1# - RESPONSABLE EDICION | |
| Nombre | Lopez, R. |
| 9 (RLIN) | 6159 |
| 856 ## - LINK | |
| Link | <a href="https://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69500.pdf">https://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69500.pdf</a> |
| 711 2# - ENTRADA AGREGADA--NOMBRE DE REUNIÓN | |
| -- | 5738 |
| Biblioteca propietaria | Biblioteca actual | Fecha de adquisición | Inventario | Total de préstamos | Inventario | Fecha de carga | Tipo de item KOHA |
|---|---|---|---|---|---|---|---|
| Biblioteca virtual | Biblioteca virtual | 03/03/2026 | 200003065 | 200003065 | 03/03/2026 | Archivo electrónico |
