DocumentCode :
3210865
Title :
Study on prediction method of minimum miscibility pressure in gas displacement
Author :
Jungang, Li
Author_Institution :
Coll. of Pet. Eng., Northeast Pet. Univ., Daqing, China
Volume :
2
fYear :
2010
fDate :
13-14 Sept. 2010
Firstpage :
1
Lastpage :
4
Abstract :
In recent years, an increasing effort has been put into the study of enhanced oil recovery (EOR) processes, especially miscible gas injection. A multiple-mixing-cell model is a discrete model of a continuous gas injection process in the slim tube experiment. A packed slim tube is discretized into a series of constant volume cells and the continuous gas injection is discretized into a series of constant batch volumes. In this approach, for nc components, we find that there are nc+1 constant-composition zones and nc-1 key tie lines. Upon increasing the batch number of the injected gas, these key tie lines appear in a reverse order, i.e., the initial tie line appears first and the injection tie line appears last. Predicted results from this proposed approach are shown to be in excellent agreement with slim tube data and other slim tube simulators presented in the literature.
Keywords :
oil drilling; solubility; vectors; continuous gas injection process; discrete model; enhanced oil recovery; gas displacement; minimum miscibility pressure; miscible gas injection; multiple mixing cell model; nc+1 constant composition zone; nc-1 key tie line; packed slim tube; prediction method; slim tube experiment; slim tube simulator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
Type :
conf
DOI :
10.1109/CINC.2010.5643804
Filename :
5643804
Link To Document :
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