Uncertainty in oil production predicted by percolation theory

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

Research output: Contribution to journalConference article

19 Citations (Scopus)

Abstract

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
Volume306
DOIs
StatePublished - Apr 1 2002
Event21th IUPAP Conference on Invited Papares (STATPHYS 21) - Cancun, Mexico
Duration: Jul 15 2001Jul 21 2001

Fingerprint

Percolation Theory
decision making
scaling laws
estimating
oils
engineering
Uncertainty
fluids
Scaling Laws
Decision Making
Engineering
Fluid

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Condensed Matter Physics

Cite this

King, P. R. ; Buldyrev, S. V. ; Dokholyan, Nikolay ; Havlin, S. ; Lopez, E. ; Paul, G. ; Stanley, H. E. / Uncertainty in oil production predicted by percolation theory. In: Physica A: Statistical Mechanics and its Applications. 2002 ; Vol. 306. pp. 376-380.
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Uncertainty in oil production predicted by percolation theory. / King, P. R.; Buldyrev, S. V.; Dokholyan, Nikolay; Havlin, S.; Lopez, E.; Paul, G.; Stanley, H. E.

In: Physica A: Statistical Mechanics and its Applications, Vol. 306, 01.04.2002, p. 376-380.

Research output: Contribution to journalConference article

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AU - Stanley, H. E.

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