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Lecture Notes in Computer Science, volume 13351 LNCS, pages 222-228

Networks Clustering-Based Approach for Search of Reservoirs-Analogues

Publication type: Book Chapter
Publication date: 2022-06-21
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ISSN: 03029743, 16113349, 18612075, 18612083
Abstract
This article presents a new look at the problem of finding reservoirs-analogues, representing reservoirs as a network and solving the problem of finding reservoirs-analogues as a problem of finding communities in the network. The proposed network approach allows us to effectively search for a cluster of reservoirs-analogues and restore missing parameters in the target reservoir based on the found clusters of reservoirs-analogues. Also, the network approach was compared with the baseline approach and showed greater efficiency. Three approaches were also compared to restore gaps in the target reservoir using clusters of reservoirs-analogues.
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Bezborodov A., Deeva I. Networks Clustering-Based Approach for Search of Reservoirs-Analogues // Lecture Notes in Computer Science. 2022. Vol. 13351 LNCS. pp. 222-228.
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Bezborodov A., Deeva I. Networks Clustering-Based Approach for Search of Reservoirs-Analogues // Lecture Notes in Computer Science. 2022. Vol. 13351 LNCS. pp. 222-228.
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TY - GENERIC
DO - 10.1007/978-3-031-08754-7_30
UR - https://doi.org/10.1007%2F978-3-031-08754-7_30
TI - Networks Clustering-Based Approach for Search of Reservoirs-Analogues
T2 - Lecture Notes in Computer Science
AU - Bezborodov, Andrey
AU - Deeva, Irina
PY - 2022
DA - 2022/06/21 00:00:00
PB - Springer Nature
SP - 222-228
VL - 13351 LNCS
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
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@incollection{2022_Bezborodov,
author = {Andrey Bezborodov and Irina Deeva},
title = {Networks Clustering-Based Approach for Search of Reservoirs-Analogues},
publisher = {Springer Nature},
year = {2022},
volume = {13351 LNCS},
pages = {222--228},
month = {jun}
}
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