首页> 外文期刊>The Journal of Canadian Petroleum Technology >Wanted Dead or Live: Crude-Cocktail Viscosity: A Pseudocomponent Method To Predict the Viscosity of Dead Oils, Live Oils, and Mixtures
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Wanted Dead or Live: Crude-Cocktail Viscosity: A Pseudocomponent Method To Predict the Viscosity of Dead Oils, Live Oils, and Mixtures

机译:想要的是死油还是生油:粗调鸡尾酒的粘度:伪组分方法,用于预测死油,活油和混合物的粘度

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摘要

A broadly applicable methodology is presented to reliably predict crude-oil-liquid viscosity from a gas-chromatographic (GC) -assay composition only (C_(30+) is recommended). The viscosity model employs a Walther-type correlation of double-log viscosity with log temperature to predict the viscosity of dead and live crude oils and mixtures. The model has three parameters: the slope and intercept of the Walther plot and a viscosibility factor to account for pressure effects. Simple mass-based mixing rules are applied on these three parameters to obtain mixture viscosity. The three parameters were correlated to component molecular weight (MW); therefore, a gas-chromatographic assay is the only required input apart from the temperature and pressure. The methodology was developed from a western Canadian (WC) data set of two bitumens, one heavy oil, and one condensate, and then tested on an independent data set of 10 conventional and heavy crude oils from the Gulf of Mexico, the Middle East, Asia, and Europe. The model provides untuned viscosity predictions within a factor of two of the measured values for dead and live crude oils ranging in viscosity from 0.5 to 500 000 rnPas. A single multiplier is used to tune the model. Models tuned to dead-oil data predict live-oil viscosities and those of mixtures of oils with solvents to within 30% of the measured values. Models tuned to the viscosity at the saturation pressure predict the effect of temperature and pressure to within 20% of the measured values. The method retains its accuracy when components are lumped into a few pseudocomponents and is suited ideally for use in simulators for accurate liquid-phase viscosity predictions over a wide range of compositions, pressures, and temperatures. It would be necessary to include the proposed mixing rules in numerical simulators. An additional advantage of the method is the reduction in viscosity measurements needed to construct an accurate viscosity model.
机译:提出了一种广泛适用的方法,可以仅通过气相色谱(GC)分析组成可靠地预测原油-液体粘度(建议使用C_(30+))。粘度模型采用双对数粘度与对数温度的Walther型相关性来预测死原油和活原油及混合物的粘度。该模型具有三个参数:Walther图的斜率和截距,以及考虑压力影响的粘度因子。将简单的基于质量的混合规则应用于这三个参数以获得混合物粘度。这三个参数与组分分子量(MW)相关。因此,除了温度和压力外,气相色谱分析是唯一需要的输入。该方法是根据加拿大西部(WC)的两种沥青,一种重油和一种凝析油的数据集开发的,然后对来自墨西哥湾,中东,亚洲和欧洲。该模型在粘度范围从0.5到500 000 rnPas的死原油和活原油的测量值的两倍之内,提供了未调整的粘度预测。单个乘数用于调整模型。调整为死油数据的模型可以预测活油粘度以及油与溶剂的混合物的粘度在测量值的30%以内。调整到饱和压力下的粘度的模型可预测温度和压力的影响在测量值的20%以内。当将组分集中为几个假组分时,该方法保持了其准确性,并且非常适合在模拟器中使用,以在广泛的组成,压力和温度范围内进行准确的液相粘度预测。有必要在数字仿真器中包括建议的混合规则。该方法的另一个优点是减少了构建精确粘度模型所需的粘度测量值。

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