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PREDICTION OF CRUDE OIL BLEND COMPATIBILITY AND BLEND OPTIMIZATION FOR INCREASING HEAVY OIL PROCESSING

机译:预测原油混合物的相容性和混合物优化以提高重油加工

摘要

Methods and systems for predicting crude oil blend compatibility and optimizing blends for increasing heavy crude oil processing are described. The method includes receiving ratios of physical parameters of crude oils for optimization of crude oil blend. The physical parameter ratios are based on Kinematic Viscosity (V), Sulphur (S), Carbon Residue (C), and American Petroleum Institute (API) gravity. The crude oil blend compatibility (K model) is determined and generated using the physical parameter ratios. The K model is developed by coefficients obtained by regression analysis between the ratios of physical parameters of known crude oils and composite compatibility measure determined from multiple compatibility test results of the known crude oils. The predicted crude oil blend compatibility can be used for optimizing heavy crude oil processing.
机译:描述了预测原油混合物相容性和优化混合物以增加重质原油加工的方法和系统。该方法包括接收原油物理参数的比率以优化原油混合物。物理参数比率基于运动粘度(V),硫(S),碳余量(C)和美国石油学会(API)重力。使用物理参数比率确定并生成原油共混物的相容性(K模型)。通过对已知原油的物理参数的比率与根据已知原油的多次相容性测试结果确定的复合相容性度量之间的回归分析而获得的系数来开发K模型。预测的原油混合物相容性可用于优化重质原油加工。

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