Application of Logging Data in Predicting Sand Production in Oilfield

 

Ma Dong

Key Laboratory of Exploration Technologies for Oil and Gas Resources. Petroleum Engineering College of Yangtze University, Hubei, China
mdlaopo@163.com

Bian Long

Petroleum Engineering College of Yangtze University, Hubei, China
245611807@qq.com

Li Lun

Petroleum Engineering College of Yangtze University, Hubei, China
1009370245@qq.com

Hu Juncheng

PetroChina Great Wall Drilling Co, Ltd, Liaoning, China
79493846@qq.com

 

 ABSTRACT

Sand production in oil and gas wells is one of the most challenging factors an operator faces during production. It is known that large volumes of data are available from well logging. In this paper, rock mechanical parameters including cohesion, angle of internal friction, elastic modulus, poisson ratio and maximum level principal stress were obtained from the logging data. Then those parameters were applied to forecast sanding and calculate the critical drawdown pressure. Calculation results show that the Kexia formation is prone to sand production. Research results provide quantitative basis for defining sand production in this block and the nearby, and guidance for reasonable formation of oil well work system.

Keywords: logging data; sand prediction; rock mechanics parameter; interface drawdown pressure

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