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A new model for predicting the viscosity of heavy oil

机译:预测重油粘度的新模型

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摘要

Models of heavy oil viscosity are considered as a function of temperature and API gravity in literature at home and abroad, and the API gravity is measured under the condition of 20 degrees C, but without considering the effect of temperature on the API and colloid asphalt content in heavy oil. A total of 197 data points from 41 samples of Huabei oilfield are tested from previous studiesand five other heavy oil viscosity models, and the calculation value is much less than the measured value. The new prediction model of heavy oil viscosity is established by Simplex Method and the General Global Optimization Method. The new model takes into account the temperature, API, colloid asphalt, and the influence of temperature on API. Using the new model to predict the viscosity of heavy oil samples of Huabei oilfield, the average relative error of 3.36%, mean absolute error of 7.61%. The new prediction model is precise than other eight models, calculated values and measured values coincide when degree is higher.
机译:在国内外文献中,稠油粘度的模型被认为是温度和API比重的函数,并且在20℃的条件下测量API比重,但没有考虑温度对API和胶体沥青含量的影响。在重油中。根据以前的研究和其他五个稠油黏度模型对华北油田41个样品的197个数据点进行了测试,其计算值远小于实测值。通过单纯形法和通用全局优化法建立了新的稠油粘度预测模型。新模型考虑了温度,API,胶体沥青以及温度对API的影响。利用新模型预测华北油田稠油样品的黏度,平均相对误差为3.36%,平均绝对误差为7.61%。新的预测模型比其他八个模型更精确,度数越高,计算值和测量值就会重合。

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