000 02667nmc a2200277 4500
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008 260224s2001 xxu ing
041 _aInglés
245 0 0 _aArtificial Neural Networks Applied to the Operation of VGO Hydrotreaters
_bSPE 69500
260 _aDallas, Texas
_bSociety of Petroleum Engineers
_c2001
270 _a12/09/06 ; 17/07/01
520 _aThis 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 _cCONGTP
100 1 _aLopez, R.
_96159
100 1 _aPerez, J.
_96161
100 1 _aDassori, C.G.
_96160
100 1 _aRanson, A.
_96162
111 2 _aLatin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
_95738
700 1 _aPerez, J.
_96161
700 1 _aDassori, C.G.
_96160
700 1 _aRanson, A.
_96162
711 2 _aLatin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
_95738
800 1 _aLopez, R.
_96159
999 _c131010
_d131010
856 _uhttps://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69500.pdf