A modified Fuzzy C-Means (FCM) Clustering algorithm and its application on carbonate fluid identification

Considering the fact that the fluid distribution in carbonate reservoir is very complicated and the existing fluid prediction methods are not able to produce ideal predicted results, this paper proposes a new fluid identification method in carbonate reservoir based on the modified Fuzzy C-Means (FCM...

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Veröffentlicht in:	Journal of applied geophysics Jg. 129; S. 28 - 35
Hauptverfasser:	Liu, Lifeng, Sun, Sam Zandong, Yu, Hongyu, Yue, Xingtong, Zhang, Dong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2016
Schlagworte:	Algorithms Carbonate rock Carbonates Chaotic Quantum Particle Swarm Optimization Clustering Clusters Fluid factor Fluid identification Fluids Fuzzy Fuzzy C-Means Clustering Geophysics Reservoirs China, People's Rep., Xinjiang, Tarim Basin China, People's Rep Fuzzy C-Means Clustering Fluid identification Fluid factor Chaotic Quantum Particle Swarm Optimization Carbonate rock
ISSN:	0926-9851, 1879-1859
Online-Zugang:	Volltext
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