| 000 | 01139nab a2200217 4500 | ||
|---|---|---|---|
| 005 | 20260520002809.0 | ||
| 008 | 260224s2008 xxu | ||
| 245 | 0 | 0 |
_aModélisation de la viscosité des fluides de gisement _bApport de la PLS bootstrap et des réseaux de neurones |
| 260 | _csept./oct. 2008 | ||
| 270 | _a15/05/2009 ; 21/01/2009 | ||
| 300 | _a14 p. ; 629-643 | ||
| 520 | _aTranscripción del resúmen publicado por el autor: Partial Least Squares linear regression (PLS) with bootstrap sampling, and Multi Layer Perceptron (MLP) non-linear regression were used to elaborate new viscosity models for estimating crude oil viscosity using fluid composition, temperature, and pressure. Statistical models obtained concern values from 0.21 cP to 10000 cP. | ||
| 581 | _a5 | ||
| 773 | 0 |
_h63 _tOil and Gas Science and Technology |
|
| 942 | _cARTICULO | ||
| 100 | 1 |
_aGayon, P.H. _940188 |
|
| 100 | 1 |
_aPina, A. _926673 |
|
| 100 | 1 |
_aAhmed, I. _940189 |
|
| 999 |
_c168900 _d168900 |
||
| 856 | _uhttp://ogst.ifp.fr/index.php?option=article&access=standard&Itemid=129&url=/articles/ogst/pdf/2008/05/ogst06019.pdf | ||