Volcanic lithology identification based on parameter-optimized GBDT algorithm: A case study in the Jilin Oilfield, Songliao Basin, NE China

The reservoir rocks in the volcanic strata of the Jilin oil field are characterized by great complexity and diversity in composition and structure of lithology. To enhance the rate of lithology identification in subsurface is very laborious. However, lithology identification is often ignored in quan...

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Veröffentlicht in:	Journal of applied geophysics Jg. 194; S. 104443
Hauptverfasser:	Yu, Zhichao, Wang, Zhizhang, Zeng, Fancheng, Song, Peng, Baffour, Bestman Adjei, Wang, Peng, Wang, Weifang, Li, Ling
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2021
Schlagworte:	Ensemble learning algorithm GBDT Lithology identification Songliao Basin Volcanic Ensemble learning algorithm Volcanic GBDT Lithology identification Songliao Basin
ISSN:	0926-9851, 1879-1859
Online-Zugang:	Volltext
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