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 journalArticlepeer-review

2 Scopus citations

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

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'Applications of statistical physics to the oil industry: Predicting oil recovery using percolation theory'. Together they form a unique fingerprint.

Cite this