TY - JOUR
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.
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2002/4/1
Y1 - 2002/4/1
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.
UR - http://www.scopus.com/inward/record.url?scp=0036540270&partnerID=8YFLogxK
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U2 - 10.1016/S0378-4371(02)00515-0
DO - 10.1016/S0378-4371(02)00515-0
M3 - Conference article
AN - SCOPUS:0036540270
VL - 306
SP - 376
EP - 380
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
SN - 0378-4371
T2 - 21th IUPAP Conference on Invited Papares (STATPHYS 21)
Y2 - 15 July 2001 through 21 July 2001
ER -