prediction of density and viscosity of colombian crude oils

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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

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Prediction of density and viscosity of colombian crude

Prediction of density and viscosity of colombian crude oils from chromatographic data Article (PDF Available) in CT y F - Ciencia, Tecnologia y Futuro 4(5):57-73 璺?January 2012 with 113 Reads

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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...

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Prediction of density and viscosity of Colombian crude

Informaci璐竛 del art閾哻ulo Prediction of density and viscosity of Colombian crude oils from chromatographic data. 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

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PREDICTION OF DENSITY AND VISCOSITY OF COLOMBIAN CRUDE

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).

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PREDICTION OF DENSITY AND VISCOSITY OF COLOMBIAN CRUDE

PREDICTION OF DENSITY AND VISCOSITY OF COLOMBIAN CRUDE OILS FROM CHROMATOGRAPHIC DATA . By F Ciencia, Tecnolog閾哸 Y Futuro, Giovanni Guzm璋﹏, Giovanni Morales-medina and Er Guzm璋﹏. Abstract. How to cite Complete issue More information about this article Journal's homepage in redalyc.org Scientific Information Syste

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PREDICTION OF DENSITY AND VISCOSITY OF COLOMBIAN CRUDE

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prediction of density and viscosity of colombian crude oils from chromatographic data

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PREDICTION OF DENSITY AND VISCOSITY OF COLOMBIAN CRUDE

Red de Revistas Cient閾唂icas de Am鑼卹ica Latina y el Caribe, Espa甯絘 y Portugal. PREDICTION OF DENSITY AND VISCOSITY OF COLOMBIAN CRUDE OILS FROM CHROMATOGRAPHIC DATA

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C.T.F Cienc. Tecnol. Futuro- PDF Download - Art. IDS0122

morales-medina, giovanni and guzman, alexander. prediction of density and viscosity of colombian crude oils from chromatographic data. c.t.f cienc.

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CT&F - Ciencia, tecnolog閾哸 y futuro. 2012, Vol. 4, N娼? 5

Prediction of density and viscosity of Colombian crude oils from chromatographic data. Giovanni Morales Medina, Alexander Guzm璋﹏. Resumen; Texto completo; p璋ゞs. 57-73. Laminar flame speed of soy and canola biofuels. Juan Sebasti璋﹏ G璐竚ez Meyer, Subramanyam R. Gollahalli, Ramkumar N. Parthasarathy, Jabid Eduardo Quiroga.

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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

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1H NMR spectroscopy and low-field relaxometry

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.

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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 鎺矯) 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

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SciELO Analytics (Beta)

prediction of density and viscosity of colombian crude oils from chromatographic data

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C.T.F Cienc. Tecnol. Futuro- PDF Download - Art. IDS0122

morales-medina, giovanni and guzman, alexander. prediction of density and viscosity of colombian crude oils from chromatographic data. c.t.f cienc.

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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

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CT&F - Ciencia, tecnolog閾哸 y futuro. 2012, Vol. 4, N娼? 5

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Prediction of °API Values of Crude Oils by Use

Summary The 鎺矨PI 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 鎺矨PI magnitude from the molecular co

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US20170322131A1 - 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

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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.

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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.

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Are viscosity and density important physical properties of crude oil?
Provided by the Springer Nature SharedIt content-sharing initiative Viscosity and density are important physical properties of crude oil. However, no practical theory exists for the calculation of these properties for heavy
How can we predict the viscosity of crude oil?
A new corresponding states method for prediction of the viscosity of both gaseous and liquid hydrocarbon fluids has been developed. The required input is critical constants and the molecular weight of each component. Very accurate results were obtained for the crude oils using the C7+ -characterization procedure of Pedersen et al . .
How are physicochemical properties of crude oil estimated?
Physicochemical properties of crude oils were estimated by HTGC technique. PLS regression was applied in the modelling of physicochemical properties. The developed methods were applied in crude oil samples from wells in production.
How does viscosity affect crude oil production?
This viscosity increase hampers the oil transportation through the pipelines compromising the production process , . Carbon residue is an auxiliary parameter in crude oil valuation, as it is an indication of asphalt content or the amount of lubricant oils which can be produced in the refining process , , .
Can high temperature gas chromatography estimate TBP in crude oil?
However, the TBP can be estimated by high temperature gas chromatography (HTGC). In this paper, the HTGC technique associated with PLS regression was used to estimate API gravity, kinematic viscosity, pour point, carbon residue, saturated and aromatic content in crude oil. We use 98 samples with API gravity ranging from 11.4 to 54.0.
How are crude oils analyzed?
Crude oils are usually analyzed by high temperature gas chromatography (HTGC) according to ASTM D7169-11 to estimate the true boiling point (TBP) curve using the methods described in ASTM D2892 and D5236 .TBP curves are used in the industry as standards to establish the price of crude oils , .