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

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 (US)
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 - Apr 1 2002
Event	21th IUPAP Conference on Invited Papares (STATPHYS 21) - Cancun, Mexico Duration: Jul 15 2001 → Jul 21 2001

All Science Journal Classification (ASJC) codes

Statistics and Probability
Condensed Matter Physics

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10.1016/S0378-4371(02)00515-0

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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.",

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T1 - Uncertainty in oil production predicted by percolation theory

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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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.

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