Networks Clustering-Based Approach for Search of Reservoirs-Analogues

Andrey Bezborodov,Irina Deeva

COMPUTATIONAL SCIENCE, ICCS 2022, PT II(2022)

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摘要
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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关键词
Networks, Community detection algorithms, Distance metrics, Oil and gas reservoirs, Reservoirs-analogues
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