Applications of statistical physics to the oil industry: Predicting oil recovery using percolation theory

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

Research output: Contribution to journalArticle

2 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 oil field 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 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)S105-S117
JournalPetroleum Geoscience
Volume7
DOIs
StatePublished - Jan 1 2001

Fingerprint

Scaling laws
Oil fields
oil industry
oil field
aid
Oils
physics
Physics
Decision making
decision making
well
Recovery
engineering
Fluids
fluid
oil
Industry

All Science Journal Classification (ASJC) codes

  • Fuel Technology
  • Geology
  • Geochemistry and Petrology
  • Economic Geology
  • Earth and Planetary Sciences (miscellaneous)

Cite this

King, P. R. ; Buldyrev, S. V. ; Dokholyan, N. V. ; Havlin, S. ; Lee, Y. ; Paul, G. ; Stanley, H. E. ; Vandesteeg, N. / Applications of statistical physics to the oil industry : Predicting oil recovery using percolation theory. In: Petroleum Geoscience. 2001 ; Vol. 7. pp. S105-S117.
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Applications of statistical physics to the oil industry : Predicting oil recovery using percolation theory. / King, P. R.; Buldyrev, S. V.; Dokholyan, N. V.; Havlin, S.; Lee, Y.; Paul, G.; Stanley, H. E.; Vandesteeg, N.

In: Petroleum Geoscience, Vol. 7, 01.01.2001, p. S105-S117.

Research output: Contribution to journalArticle

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