考虑沥青及含水影响的稠油粘度预测模型

A Heavy-oil Viscosity Predicting Model Considering the Effect of Asphalt and Water Content

现有的稠油粘度预测模型都近似将粘度处理为温度和API重度的函数,然而稠油粘度实际上还与沥青及胶质含量、含水量等有关。利用29口井的稠油样品测试资料,对4个常用的脱气稠油粘度预测模型进行了评价,并运用对比拟合的方法建立了新的脱气稠油粘度预测模型,模型综合考虑了温度、API重度、沥青与胶质含量、含水量的影响。运用新模型预测了稠油样品的粘度,在2个API重度范围内预测粘度值的平均相对误差分别为15.76%和17.20%,远小于所评价的模型;运用新模型实例预测了另外11口井的稠油样品粘度,预测平均相对误差为17.66%,基本满足工程精度要求。

Heavy oil viscosity was usually thought to be the function of temperature and API approximately.But it was also related to asphalt and colloid content,water content and so on.Four conventional viscosity prediction models for degassed heavy oil were evaluated by using sample test data from 29 heavy oil wells.A new model was established by using the method of comparison and fitting.The new model took temperature,API,asphalt and colloid content and water content into consideration.The viscosity of the heavy oil samples was forecasted by using the new model.The average relative errors within the two ranges of API are 15.76% and 17.20% respectively,which is far less than that of the evaluation models.The viscosity of other 11 heavy oil samples is also predicted by using the new model.The average and relative error is 17.66%,it can basically meet the requirement of engineering accuracy.