Using percolation theory to predict oil field performance

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

doi:10.1016/S0378-4371(02)01088-9

Using percolation theory to predict oil field performance

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

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

17 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 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)	103-108
Number of pages	6
Journal	Physica A: Statistical Mechanics and its Applications
Volume	314
Issue number	1-4
DOIs	https://doi.org/10.1016/S0378-4371(02)01088-9
State	Published - 2002

All Science Journal Classification (ASJC) codes

Statistics and Probability
Condensed Matter Physics

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10.1016/S0378-4371(02)01088-9

Cite this

@article{6fc1797b1f65466186997002eb69b172,

title = "Using percolation theory to predict oil field performance",

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 more quickly. As a result they may be used in practical engineering circumstances and aid decision making for real field problems.",

author = "King, \{P. R.\} and Buldyrev, \{S. V.\} and Nikolay Dokholyan and S. Havlin and E. Lopez and G. Paul and Stanley, \{H. E.\}",

note = "Funding Information: The authors thank L Gantmacher who did the calculations of postbreakthrough behaviour for the homogeneous case. They would also like to thank J. Andrade for helpful discussions and BP for financial support and permission to publish this paper.",

year = "2002",

doi = "10.1016/S0378-4371(02)01088-9",

language = "English (US)",

volume = "314",

pages = "103--108",

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TY - JOUR

T1 - Using percolation theory to predict oil field performance

AU - King, P. R.

AU - Buldyrev, S. V.

AU - Dokholyan, Nikolay

AU - Havlin, S.

AU - Lopez, E.

AU - Paul, G.

AU - Stanley, H. E.

N1 - Funding Information: The authors thank L Gantmacher who did the calculations of postbreakthrough behaviour for the homogeneous case. They would also like to thank J. Andrade for helpful discussions and BP for financial support and permission to publish this paper.

PY - 2002

Y1 - 2002

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 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 more quickly. As a result they may be used in practical engineering circumstances and aid decision making for real field problems.

UR - https://www.scopus.com/pages/publications/0036940510

UR - https://www.scopus.com/pages/publications/0036940510#tab=citedBy

U2 - 10.1016/S0378-4371(02)01088-9

DO - 10.1016/S0378-4371(02)01088-9

M3 - Article

AN - SCOPUS:0036940510

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VL - 314

SP - 103

EP - 108

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

IS - 1-4

ER -

Using percolation theory to predict oil field performance

Abstract

All Science Journal Classification (ASJC) codes

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