公开(公告)号：EP3517952A1

公开(公告)日：2019-07-31

申请号：EP18164352.9

申请日：2018-03-27

申请人： Bharat Petroleum Corporation Limited ,  Indian Institute of Technology Delhi

发明人： KUMAR, Rajeev ,  VOOLAPALLI, Ravi Kumar ,  RAKSHIT, PRANAB KUMAR ,  BHARGAVA, Sanjay ,  UPADHYAYULA, Sreedevi

IPC分类号： G01N33/28

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.

公开(公告)号：EP2699900B1

公开(公告)日：2019-02-13

申请号：EP12839212.3

申请日：2012-10-31

申请人： Bharat Petroleum Corporation Limited

发明人： KUMAR, Rajeev ,  AHSAN, Mohammad Muzaffar ,  PARIHAR, Prashant Udaysinh ,  VOOLAPALLI, Ravi Kumar

IPC分类号： G01N33/28 ,  G06Q90/00

公开(公告)号：EP2699900A1

公开(公告)日：2014-02-26

申请号：EP12839212.3

申请日：2012-10-31

申请人： Bharat Petroleum Corporation Limited

发明人： KUMAR, Rajeev ,  AHSAN, Mohammad Muzaffar ,  PARIHAR, Prashant Udaysinh ,  VOOLAPALLI, Ravi Kumar

IPC分类号： G01N33/28 ,  G06Q90/00

CPC分类号： G01N33/28 ,  G01N33/2823 ,  G01N33/2835

摘要： Method(s) and a system for predicting the refining characteristics of an oil sample are described. The method of predicting the refining characteristics, such as distillate yield profile, processability, product quality or refinery processing cost, may include development of a prediction model based on regression analysis. The method may further include determining the physical properties of the oil sample and predicting the refining characteristics based on the developed prediction model. The determination of the physical properties of the oil sample includes determining at least one of Conradson Carbon Residue (CCR) content, Ramsbottom Carbon Residue (RCR) and Micro Carbon Residue (MCR).

摘要翻译： 描述了一种用于预测油样的精炼特性的方法和系统。 预测炼油特性的方法，如馏出物产量曲线，加工性，产品质量或炼油加工成本，可能包括基于回归分析开发预测模型。 该方法还可以包括基于所开发的预测模型来确定油样品的物理性质并预测精炼特性。 确定油样品的物理性质包括确定康拉多森残留物（CCR）含量，Ramsbottom Carbon Residue（RCR）和微量碳残留（MCR）中的至少一种。