PREDICTION OF DENSITY AND VISCOSITY OF COLOMBIAN CRUDE
The aim of our work was to analyze the use of Gas Chromatographic (GC) data for correlating bulk properties of Colombian crude oils. Multivariate statistics regressions were applied on a set of 57 Colombian crude oil chromatograms to correlate both density...
Abstract. The aim of our work was to analyze the use of Gas Chromatographic (GC) data for correlating bulk properties of Colombian crude oils. Multivariate statistics regressions were applied on a set of 57 Colombian crude oil chromatograms to correlate both density and kinematic viscosity (Vk); this last one property in terms of the Refutas viscosity index (V50).
SciELO Analytics (Beta)
prediction of density and viscosity of colombian crude oils from chromatographic data
57 CT&F - Ciencia, Tecnologa y Futuro - Vol. 4 Num. 5 Jun. 2012 PREDICTION OF DENSITY AND VISCOSITY OF COLOMBIAN CRUDE OILS FROM CHROMATOGRAPHIC DATA
PREDICTION OF CRUDE OIL VISCOSITY USING FEED-FORWARD BACK
So, petroleum engineers prefer to use published correlations but these correlations are either too simple or too complex and so many of them are region-based not generic.To tackle the above enumerated drawbacks, in this paper, a Feed-Forward Back-Propagation Neural Network (FFBPNN) model has been developed to estimate the crude oil viscosity
1 H NMR spectra and relaxation times of 76 crude oil samples were measured.. PLSR models for viscosity and density prediction were developed.?Regression model from relaxation data delivered a superior performance.?Spectra and relaxation data were merged and new models were developed.
Distillation Yields and Properties from Blending Crude
The blending optimization of Maxila and Cabinda crude oils and Maxila and Daqing crude oils is investigated to provide a consistent and optimal feedstock to refinery operations. The distillation yields (<520 掳C) are studied by the equilibrium-flash vaporization (EFV) method. The results show that, at the optimized blending ratio of 3:7 for Maxila and Cabinda crude oils, the yield of
prediction of density and viscosity of colombian crude oils from chromatographic data
CvLAC - RG
GIOVANNI MORALES MEDINA, ALEXANDER GUZMAN MONSALVE, "Prediction of density and viscosity of Colombian crude oils from chromatographic data" . En: Colombia CT y F - Ciencia, Tecnologia y Futuro ISSN: 0122-5383 ed: ECOPETROL
Summary The 掳API value is an important physiochemical characteristic of crude oils often used in determining their properties and quality. There exist models--predominantly linear ones--for predicting the 掳API magnitude from the molecular co
US20240322131A1 - Prediction of kinematic viscosity
Provided is a method for predicting kinematic viscosity of a fraction of a crude oil to optimize selection of crude oils. The method includes receiving parameters of the crude oil, such as Vacuum Residue yield and Conradson Carbon Residue (CCR), content as an input. The method also includes determining kinematic viscosity of the fraction of the crude oil at a first predetermined temperature
GET PRICE
Oil fluid properties - PetroWiki
Ideally, fluid properties such as bubblepoint pressure, solution gas/oil ratio, formation volume factor and others are determined from laboratory studies designed to duplicate the conditions of interest. However, experimental data are quite often unavailable because representative samples cannot be obtained or the producing horizon does not warrant the expense of an in-depth reservoir fluid study.
GET PRICE
Undersaturated oil viscosity correlation for adverse
4. (1997) API Technical Data Book - Petroleum Refining. API, Washington DC 6th ed, (April), Chap 11 5. ASME pressure-viscosity report (1953) Viscosity and Density of over 40 Lubricating Fluids of Known Composition at Pressures to 150,000 Psi and Temperatures to 435 F, Vol.
GET PRICE
