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

doi:10.1144/petgeo.7.s.s105

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

Imperial College London

Research output: Contribution to journal › Article › peer-review

34 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 language	English
Pages (from-to)	S105-S117
Journal	Petroleum Geoscience
Volume	7
Issue number	SPECIL ISSUE
DOIs	https://doi.org/10.1144/petgeo.7.s.s105
State	Published - 2001
Externally published	Yes

Keywords

Breakthrough
Geostatical analysis
Percolation

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10.1144/petgeo.7.s.s105

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AU - Paul, G.

AU - Stanley, H. E.

AU - Vandesteeg, N.

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AB - 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.

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Predicting oil recovery using percolation theory

Abstract

Keywords

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