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