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

• Published in: Journal of applied geophysics Vol. 194; p. 104443
• Main Authors: Yu, Zhichao, Wang, Zhizhang, Zeng, Fancheng, Song, Peng, Baffour, Bestman Adjei, Wang, Peng, Wang, Weifang, Li, Ling
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2021
• Subjects: Ensemble learning algorithm; GBDT; Lithology identification; Songliao Basin; Volcanic; Ensemble learning algorithm; Volcanic; GBDT; Lithology identification; Songliao Basin

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...