Using percolation theory to predict oil field performance

Physica A: Statistical Mechanics and its Applications

Volumn 314, Issue 1-4, 2002, Pages 103-108

  King, P R ^a   Buldyrev, S V ^b   Dokholyan, N V ^b,c   Havlin, S ^d   Lopez, E ^b   Paul, G ^b   Stanley, H E ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b BOSTON UNIVERSITY   (United States)

^c HARVARD UNIVERSITY   (United States)

^d BAR ILAN UNIVERSITY   (Israel)

Author keywords

Flow in porous media; Oil recovery; Percolation; Scaling

Indexed keywords

DECISION MAKING; OIL FIELDS; OIL WELL PRODUCTION; PETROLEUM RESERVOIRS; POROUS MATERIALS; PROBLEM SOLVING;

OIL RECOVERY;

PERCOLATION (FLUIDS);

EID: 0036940510     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-4371(02)01088-9     Document Type: Conference Paper

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3. F. Bratvedt, K. Bratvedt, C.F. Buchholz, L. Holden, H. Holden, N.H. Risebro, A new front tracking method for reservoir simulation, SPERE 19805, 1992.
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8. Lee Y., Andrade J.S., Buldyrev S.V., Dokholyan N.V., Havlin S., King P.R., Paul G., Stanley H.E. Traveling time and traveling length in critical percolation clusters. Phys. Rev. E. 60:1999;3425-3428.
9. Andrade J.S., Buldyrev S.V., Dokholyan N.V., Havlin S., Lee Y., King P.R., Paul G., Stanley H.E. Flow between two sites in percolation systems. Phys. Rev. E. 62:2000;8270-8281.
10. Grassberger P. Physica A. 262:1999;251.