DocumentCode :
1847576
Title :
Logging Data Application in Sanding prediction in Kelamayi Oilfield
Author :
Bian Long ; Zhao Lin ; Ma Dong ; Zhao Fei ; Xu Wei ; Sun Kai
Author_Institution :
Key Lab. of Drilling & Production Eng. for Oil & Gas, Yangtze Univ., Jingzhou, China
fYear :
2013
fDate :
21-23 June 2013
Firstpage :
1265
Lastpage :
1268
Abstract :
The Logging data of Kelamayi Oilfield are used to calculate the rock mechanical parameters, such as cohesion, angle of internal friction, elastic modulus, Poisson ratio and maximum level principal stress in this paper. Then the methods of sand factor, combination modulus, acoustic time and Schlumberger are applied to forecast sanding and calculate the critical drawdown pressure. Calculation results show that the possibility of Kexia Formation sand production is high. This 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 :
petroleum industry; production management; rocks; sand; Kelamayi oilfield; Kexia formation sand production; Schlumberger; acoustic time; combination modulus; logging data application; rock mechanical parameters; sand factor; sanding prediction; well work system; Acoustics; Friction; Indexes; Petroleum; Production; Reservoirs; Rocks; interface drawdown pressure; rock mechanics parameter; sand prediction; well logging data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
Type :
conf
DOI :
10.1109/ICCIS.2013.335
Filename :
6643252
Link To Document :
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