Modélisation de la viscosité des fluides de gisement Apport de la PLS bootstrap et des réseaux de neurones
Publication details: sept./oct. 2008Description: 14 p. ; 629-643Online resources: In: Oil and Gas Science and TechnologySummary: Transcripción 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.| Current library | Status | Barcode | |
|---|---|---|---|
| Biblioteca virtual | Not for loan | 200043688 |
Transcripción 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.
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