Uncertainty in oil production predicted by percolation theory

P. R. King; S. V. Buldyrev; N. V. Dokholyan; S. Havlin; E. Lopez; G. Paul; H. E. Stanley

doi:10.1016/s0378-4371(02)00515-0

Uncertainty in oil production predicted by percolation theory

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

Department of Physics

Research output: Contribution to journal › Conference article › peer-review

20 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 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 language	English
Pages (from-to)	376-380
Number of pages	5
Journal	Physica A: Statistical Mechanics and its Applications
Volume	306
DOIs	https://doi.org/10.1016/s0378-4371(02)00515-0
State	Published - 1 Apr 2002
Event	21th IUPAP Conference on Invited Papares (STATPHYS 21) - Cancun, Mexico Duration: 15 Jul 2001 → 21 Jul 2001

Keywords

Breakthrough time
Oil recovery
Percolation
Transport in porous media

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10.1016/s0378-4371(02)00515-0

Cite this

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title = "Uncertainty in oil production predicted by percolation theory",

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.",

keywords = "Breakthrough time, Oil recovery, Percolation, Transport in porous media",

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AU - King, P. R.

AU - Buldyrev, S. V.

AU - Dokholyan, N. V.

AU - Havlin, S.

AU - Lopez, E.

AU - Paul, G.

AU - Stanley, H. E.

PY - 2002/4/1

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N2 - 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.

AB - 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.

KW - Breakthrough time

KW - Oil recovery

KW - Percolation

KW - Transport in porous media

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T2 - 21th IUPAP Conference on Invited Papares (STATPHYS 21)

Y2 - 15 July 2001 through 21 July 2001

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Uncertainty in oil production predicted by percolation theory

Abstract

Keywords

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