شماره ركورد كنفرانس :
1947
عنوان مقاله :
On the Evaluation of Crude Oil Viscosity: A Robust Modeling Approach
عنوان به زبان ديگر :
On the Evaluation of Crude Oil Viscosity: A Robust Modeling Approach
پديدآورندگان :
Hemmati Sarapardeh Abdolhossein نويسنده Amirkabir University of Technology - Department of Petroleum Engineering , Aminshahidy Babak نويسنده Amirkabir University of Technology - Department of Petroleum Engineering , Pajouhandeh Amin نويسنده Shahid Bahonar University of Kerman - Department of Petroleum Engineering , Yousefi Hamidreza نويسنده Amirkabir University of Technology - Department of Petroleum Engineering , Kaldozakh Hosseini نويسنده Amirkabir University of Technology - Department of Petroleum Engineering
كليدواژه :
Viscosity , crude oil , Least square support vector machine , Oil API gravity , Temperature
عنوان كنفرانس :
سومين همايش ملي نفت و گاز ايران
چكيده لاتين :
Crude oil viscosity is a key property needed for petroleum engineering analysis such as evaluation of fluid flow in porous media, reservoir performance, reservoir simulation, etc. This property is traditionally measured through expensive and time consuming laboratory measurements. In this communication, about 1500 dead oil viscosity data points of light and intermediate crude oil systems from various geological locations have been collected. Afterward, a soft computing approach, namely least square support vector machine (LSSVM), has been utilized to develop two distinct viscosity models for temperatures below and above 313.15 K. The parameters of these models have been optimized using coupled simulated annealing (CSA) optimization tool. The results of this study indicated that the developed models can predict dead oil viscosity at all temperatures and oil API gravities with enough accuracy. In addition, statistical and graphical error analyses illustrated that the proposed CSA-LSSCM models outperform all of pre-existing models
شماره مدرك كنفرانس :
4490660
