The use of artificial neural network analysis and multiple regression for trap quality evaluation: A case study of the Northern Kuqa Depression of Tarim Basin in western China

Marine and Petroleum Geology

Volumn 21, Issue 3, 2004, Pages 411-420

  Shi, Guangren ^a   Zhou, Xingxi ^a   Zhang, Guangya ^a   Shi, Xiaofeng ^a   Li, Honghui ^a  

^a RESEARCH INSTITUTE OF PETROLEUM EXPLORATION AND DEVELOPMENT   (China)

Author keywords

Artificial neural network analysis; Multiple regression; Northern Kuqa Depression; Petroleum system; Trap quality

Indexed keywords

DEGREE OF DEPENDENCE; GEOLOGICAL FACTORS; NON-LINEAR RELATIONSHIP; QUALITY TRAP;

COMPUTER SIMULATION; CORRELATION METHODS; DATA ACQUISITION; GASES; NATURAL RESOURCES EXPLORATION; NEURAL NETWORKS; PARAMETER ESTIMATION; REGRESSION ANALYSIS;

PETROLEUM GEOLOGY;

ARTIFICIAL NEURAL NETWORK; GAS FIELD; HYDROCARBON ENTRAPMENT; HYDROCARBON RESERVOIR;

ASIA; CHINA; EURASIA; FAR EAST; TARIM BASIN; XINJIANG UYGUR;

EID: 2342655845     PISSN: 02648172     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.marpetgeo.2004.01.003     Document Type: Article

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