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Seismic Integrated Interpretation and Prediction on Channel Sandbody of Deep Layer at West Slope in Qikou Sag
作者姓名:Yuqiao Gao  Li Liu  Yanzhang Zhang  Xiaoming Sun
作者单位:College of Earth Sciences,Jilin University,College of Earth Sciences,Jilin University,Dagang Technology Research Center of Oil Exploration and Development,Dagang Technology Research Center of Oil Exploration and Development Changchun,130061 China,Changchun,130061 China,Tianjin,300280 China,Tianjin,300280 China
摘    要:1IntroductionIn modern oil and gas exploration, utilizing vari-eties of seismic information to comprehensively pre-dict oil and gas reservoir is always an important subject for geologists. Especially in recent years, with the constant development and innovation of seismic exploration technology, it has been one of important means of raising exploration efficiency to use seismic information relating to stratigraphic structure, lithological trap or reservoir to seek for isolated sandbody, channe…


Seismic Integrated Interpretation and Prediction on Channel Sandbody of Deep Layer at West Slope in Qikou Sag
Yuqiao Gao,Li Liu,Yanzhang Zhang,Xiaoming Sun.Seismic Integrated Interpretation and Prediction on Channel Sandbody of Deep Layer at West Slope in Qikou Sag[J].Journal of Geoscientific Research in Northeast Asia,2003(1).
Authors:Yuqiao Gao  Li Liu  Yanzhang Zhang  Xiaoming Sun College of Earth Sciences  Jilin University  Changchun  ChinaDagang Technology Research Center of Oil Exploration and Development  Tianjin  China
Institution:Yuqiao Gao 1,Li Liu 1,Yanzhang Zhang 2,Xiaoming Sun 2 1. College of Earth Sciences,Jilin University,Changchun,130061China2.Dagang Technology Research Center of Oil Exploration and Development,Tianjin,300280China
Abstract:According to the seismic and geological differences among every oil measures in mid-deep layers at west slope in Qikou Sag, varieties of new techniques on geophysics and geochemistry were introduced , such as seismic pro-cess of target and CWS, neural network seismic microfacies cluster analysis, 3D interval velocity analysis. Taking advan-tage of the series of new techniques aims at predicting synthetically and quantitatively the deep gravity flow channel sandbody. Furthermore, considering the structural setting data, potential structural-lithologic traps were specified. As a re-sult, the geological and drilling effect is obviously promoted.
Keywords:seismic process of target    CWS    CUSI  network    neural network seismic microfacies cluster analysis              3D interval velocity analysis
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