Using percolation theory to predict oil field performance

DOI10.1016/S0378-4371(02)01088-9zbMath1001.86020OpenAlexW2163482573WikidataQ57829388 ScholiaQ57829388MaRDI QIDQ1850340

Peter R. King, Nikolay V. Dokholyan, H. Eugene Stanley, Sergey V. Buldyrev, Gerald Paul, Eduardo López, Shlomo Havlin

Publication date: 3 December 2002

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-4371(02)01088-9

zbMATH Keywords

scaling lawsfluid injection

Mathematics Subject Classification ID

Interacting random processes; statistical mechanics type models; percolation theory (60K35) Geophysics (86A99)

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Cites Work

• FRONTLINE and FRONTSIM: Two full scale, two-phase, black oil reservoir simulators based on front tracking
• Scaling of the distribution of shortest paths in percolation