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珠江口盆地恩平凹陷古近系文昌组地震层序地层单元定量识别

Quantitative recognition of seismic sequence stratigraphic units in Wenchang Formation,Paleogene,Enping Sag,Pearl River Mouth Basin

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【作者】 刘强虎朱红涛杨香华舒誉黄众

【Author】 LIU Qianghu1,2,ZHU Hongtao1,2,YANG Xianghua1,2,SHU Yu3,HUANG Zhong1,2 (1.Key Laboratory of Tectonics and Petroleum Resources of the Ministry of Education, China University of Geosciences,Wuhan 430074,China; 2.Faculty of Earth Resources,China University of Geosciences,Wuhan 430074,China; 3.CNOOC China Ltd.,Shenzhen 510240,China)

【机构】 中国地质大学构造与油气资源教育部重点实验室中国地质大学资源学院中海石油(中国)有限公司深圳分公司

【摘要】 采用的定量识别技术对地层单元进行识别,充分利用地震属性信息,进行属性体约束下的层序界面自动追踪,借助Wheeler域转换实现层序单元定量划分。通过无井控条件下的恩平凹陷古近系文昌组的地震层序地层单元定量识别研究,建立等时地层单元及组合形态的地质模式,识别出2个准二级层序,并进一步划分出6个三级层序(SQ1~SQ6);以SQ6层序为例,对其最大洪泛面进行定量识别,进一步将SQ6层序高位体系域复合前积体分为Ⅰ幕与Ⅱ幕,2幕前积体内各识别出2期次一级沉积体。研究结果表明:定量识别技术在无井区可识别三级层序界面、体系域界面以及典型沉积体内幕期次,效果良好。

【Abstract】 The technology of quantitative recognition was applied in seismic sequence stratigraphic unit.Using the seismic attribute information,the sequence interfaces under the control of the steering cube were auto-track,and the quantitative subdue sequence units in virtue of Wheeler-transformed domain was realized.With the limitation of insufficient well,based on the technique of quantitative recognition,the geological models of basic unit and combined form of isochronous stratum were established.Two sub-second-order sequences which can be subdivided into six three-order sequences SQ1-SQ6 from base to top can be recognized in the strata of Wenchang Formation,Paleogene, Enping sag.As an example,based on the quantitative recognition of maximum flooding surface within the sequence SQ6, the progradational complex of highstand system tracts can be subdivided into two stages(ⅠandⅡ)and four sub-order sedimentary bodies.The results show that quantitative recognition technology can provide a good way to identify three-order sequence boundaries,system tract boundaries and the inner stages of a typical deposition.

【基金】 国家自然科学基金资助项目(40702024);国家科技重大专项(2011ZX05023-001-015);中央高校基本科研业务费专项资金资助项目(CUGL100412);霍英东教育基金会资助项目(132020)
  • 【文献出处】 中南大学学报(自然科学版) ,Journal of Central South University(Science and Technology) , 编辑部邮箱 ,2013年03期
  • 【分类号】P618.13
  • 【被引频次】6
  • 【下载频次】378
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