Using percolation theory to predict oil field performance
type: Item
instance of: scholarly article
title: Using percolation theory to predict oil field performance
zbMATH Open document ID: 1001.86020
DOI: 10.1016/S0378-4371(02)01088-9
author: Peter R. King
author: S. V. Buldyrev
author: Nikolay V. Dokholyan
author: H. Eugene Stanley
author: Shlomo Havlin
author: Eduardo López
author: Gerald Paul
published in: Physica A
publication date: 2002-12-03T00:00:00Z
Mathematics Subject Classification ID: 86A99
Mathematics Subject Classification ID: 60K35
zbMATH DE Number: 1841191
zbMATH Keywords: scaling laws
zbMATH Keywords: fluid injection
MaRDI profile type: Publication
Wikidata QID: Q57829388
cites work: FRONTLINE and FRONTSIM: Two full scale, two-phase, black oil reservoir simulators based on front tracking
cites work: Scaling of the distribution of shortest paths in percolation
full work available at URL: s0378-4371(02)01088-9
OpenAlex ID: W2163482573
description: scientific article; zbMATH DE number 1841191