Uncertainty in oil production predicted by percolation theory

P. R. King, S. V. Buldyrev, N. V. Dokholyan, S. Havlin, E. Lopez, G. Paul, H. E. Stanley

Research output: Contribution to journalConference articlepeer-review

20 Scopus citations


In this paper, we apply scaling laws from percolation theory to the problem of estimating the time for a fluid injected into an oilfield to breakthrough into a production well. The main contribution is to show that when these previously published results are used on realistic data they are in good agreement with results calculated in a more conventional way, but they can be obtained significantly and more quickly. As a result, they may be used in practical engineering circumstances and aid decision-making for real field problems.

Original languageEnglish (US)
Pages (from-to)376-380
Number of pages5
JournalPhysica A: Statistical Mechanics and its Applications
StatePublished - Apr 1 2002
Event21th IUPAP Conference on Invited Papares (STATPHYS 21) - Cancun, Mexico
Duration: Jul 15 2001Jul 21 2001

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Condensed Matter Physics


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