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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:23)
Article Information:

Study on the Temperature Distribution of High Pour Point Oil by Integrated Method Based on Well Log, Geological Data and Experiment

Yu Peng, Tang Zhonghua, Akhtar Malik Muhammad and Muhsan Ehsan
Corresponding Author:  Yu Peng 
Submitted: January 04, 2014
Accepted: February ‎25, ‎2014
Published: June 20, 2014
Abstract:
High pour point oil reservoir contains various typical properties; such as a kind of high freezing point, high paraffin content and high cloud point temperature reservoir, while the temperature is regarded as high sensitive parameter for oil reservoirs. The current research aim is to develop and assess the effect by cold water flooding, the structure and properties model was built with the combination method of reservoir geological modeling and simulation. Various degrees of cold damage have deep relation with paraffin deposition and reservoir channel plug due to decline of temperature below the cloud point temperature. Precipitated paraffin has changed the rheological properties of crude oil, which can increase filtration resistance and reducing the oil displacement efficiency. Furthermore, model simulation analysis results compared under two different conditions cold and hot water flooding and predicted the inter well temperature field distribution belongs to reservoir through the model numerical simulation. Present study depicts that the integrated method base on log, geological data and experiment can predict and analysis the temperature variation efficiently, while thermal displacement method has efficiently improved the high pour-point oil reservoir development effect, increasing oil mobility and enhancing oil recovery.

Key words:  Cloud point temperature, cold damage, high pour point oil, numerical simulation, temperature field, ,
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Cite this Reference:
Yu Peng, Tang Zhonghua, Akhtar Malik Muhammad and Muhsan Ehsan, . Study on the Temperature Distribution of High Pour Point Oil by Integrated Method Based on Well Log, Geological Data and Experiment. Research Journal of Applied Sciences, Engineering and Technology, (23): 4945-4965.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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