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

Citation
Pr. King et al., Applications of statistical physics to the oil industry: predicting oil recovery using percolation theory, PHYSICA A, 274(1-2), 1999, pp. 60-66
Citations number
13
Categorie Soggetti
Physics
Journal title
PHYSICA A
ISSN journal
03784371 → ACNP
Volume
274
Issue
1-2
Year of publication
1999
Pages
60 - 66
Database
ISI
SICI code
0378-4371(199912)274:1-2<60:AOSPTT>2.0.ZU;2-5
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 (for the purp oses of recovering the oil) to breakthrough into a production well. The mai n contribution is to show that percolation theory, when applied to a realis tic model, can be used to obtain the same results as calculated in a more c onventional way but significantly more quickly. Specifically, we found that a previously proposed scaling form for the breakthrough time distribution when applied to a real oil field is in good agreement with more time consum ing simulation results. Consequently these methods can be used in practical engineering circumstances to aid decision making for real field problems. (C) 1999 Elsevier Science B.V. All rights reserved.