Transport properties of nonelectrolyte liquid mixtures?III. Viscosity coefficients for n-octane, n-dodecane, and equimolar mixtures of n-octane + n-dodecane and n-hexane + n-dodecane from 25 to 100�C at pressures up to the freezing pressure or 500 MPa

Dymond, J. H.; Robertson, J.C.; Isdale, J. D.

doi:10.1007/bf00503937

Cited by 111 publications

(51 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The falling-weight viscometer has been used extensively in the past for the determination of viscosities in systems under high pressure [9,14,17,[19][20][21][22][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40]. The falling-weight viscometer is relatively simple in construction, is easily adaptable for highpressure applications and typically exhibits high repeatability and accuracy.…”

Section: Viscometer Designmentioning

confidence: 99%

Viscosity measurements on gas expanded liquid systems—Methanol and carbon dioxide

Sih

Dehghani

Foster

2007

The Journal of Supercritical Fluids

View full text Add to dashboard Cite

Section: Viscometer Designmentioning

confidence: 99%

Viscosity measurements on gas expanded liquid systems—Methanol and carbon dioxide

Sih

Dehghani

Foster

2007

The Journal of Supercritical Fluids

View full text Add to dashboard Cite

“…Density and viscosity data are reported for many fluids with this apparatus to very high pressures in excess of ~400 MPa (~60,000 psi) but typically only to temperatures of ~373K (~200°F) [36][37][38][39][40]. Viscosity data obtained with the falling-body viscometer has a reported expanded uncertainty between 1% and 5%, which is higher than that observed with the oscillating wire and vibrating wire viscometers, although now the data extend over a much wider pressure range.…”

Section: Falling Body Viscometermentioning

confidence: 80%

Fluid properties at high pressures and temperatures: Experimental and modelling challenges

Mallepally

Bamgbade

Rowane

et al. 2018

The Journal of Supercritical Fluids

View full text Add to dashboard Cite

Thermophysical properties impact many aspects of the chemical process industries. Here three example areas, primarily in the energy sector, are highlighted to provide context for the experimental and modelling challenges associated with obtaining fluid property data at high pressures and temperatures (HPHT). These three areas include the recovery of petroleum reserves in ultra-deep reservoirs, the use of lubricants to reduce frictional losses in the automotive industries, and the use of high-pressure, common rail diesel fuel delivery to reduce soot emissions for greener environments. The accurate knowledge of thermodynamic and transport properties in these three focused areas minimizes associated operating uncertainties and accelerates safe, reliable, and robust process and product development.

show abstract

“…⎯ Dymond et al (1980Dymond et al ( , 1981: three binary systems C6-C12 1 , C6-C16 and C8-C12; 220 measured viscosity data points were reported at temperatures of 25, 50, 75, and 100 o C (77-212 °F), and pressures up to the freezing pressure or 500 MPa (72,000 psi). The authors claimed 2% accuracy for their viscosity measurements.…”

Section: Benchmark Datamentioning

confidence: 99%

Prediction of Heavy Oil Viscosity in Current Reservoir Simulators

2009

View full text Add to dashboard Cite

An accurate estimate of oil mobility is essential for reliable exploitation of oil and gas reservoirs, and for development of new technologies, particularly with the industry's increasing reliance on unconventional resources such as heavy oil. The viscosity of heavy oil decreases rapidly with increasing temperature and with increasing concentrations of light components, and can vary over 2-3 orders of magnitude during typical exploration and productions operations. The accurate prediction of the viscosity is therefore difficult, and simple extrapolation of the current methods used in the petroleum industry for predicting the fluid viscosity in conventional reservoirs is fraught with difficulties.This paper presents a comprehensive analysis of the use of a simple mole-average power law that is based on the Arrhenius equation and used as the default method in some widely used thermal reservoir simulators to predict mixture viscosity. Predictions based on the equation are compared to a set of accurate benchmark data that are based on the best available experimental data for hydrocarbon mixtures. These data cover a temperature range of -175°C to 200°C, and extend to high pressures. The accuracy of the data is better than 5%, sufficient for validation purposes. We summarize the conditions under which the simple power law provides reasonable estimates of viscosity, identify the ranges of pressure and temperature and composition for which large deviations can be expected, and discuss the implications of using the equation to predict heavy-oil viscosity. We demonstrate that the current practice of fitting scarce experimental data and using the viscosity of the heavy fraction as an adjustable parameter is problematic, and that extrapolation in temperature or to similar mixtures is highly unreliable.

show abstract

Transport properties of nonelectrolyte liquid mixtures?III. Viscosity coefficients for n-octane, n-dodecane, and equimolar mixtures of n-octane + n-dodecane and n-hexane + n-dodecane from 25 to 100�C at pressures up to the freezing pressure or 500 MPa

Cited by 111 publications

References 6 publications

Viscosity measurements on gas expanded liquid systems—Methanol and carbon dioxide

Viscosity measurements on gas expanded liquid systems—Methanol and carbon dioxide

Fluid properties at high pressures and temperatures: Experimental and modelling challenges

Prediction of Heavy Oil Viscosity in Current Reservoir Simulators

Contact Info

Product

Resources

About