An unsupervised clustering method for nuclear magnetic resonance transverse relaxation spectrums based on the Gaussian mixture model and its application

To make the quantitative results of nuclear magnetic resonance (NMR) transverse relaxation (T2) spectrums reflect the type and pore structure of reservoir more directly, an unsupervised clustering method was developed to obtain the quantitative pore structure information from the NMR T2 spectrums ba...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Xinmin GE, Zong’an XUE, Jun ZHOU, Falong HU, Jiangtao LI, Hengrong ZHANG, Shuolong WANG, Shenyuan NIU, Ji’er ZHAO
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	KeAi Communications Co., Ltd. 2022-04-01
Schriftenreihe:	Petroleum Exploration and Development
Schlagworte:	NMR T2 spectrum Gaussian mixture model expectation-maximization algorithm Akaike information criterion unsupervised clustering method quantitative pore structure evaluation
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1876380422600284
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