岩性油气藏 ›› 2015, Vol. 27 ›› Issue (5): 30–36.doi: 10.3969/j.issn.1673-8926.2015.04.006

• 油气地质 • 上一篇    下一篇

ΔlgR 方法在深水沉积物层序分析中的应用----以松辽盆地古龙凹陷古57 井青山口组为例

刘苍宇,辛仁臣   

  1. 中国地质大学(北京) 海洋学院,北京 100083
  • 出版日期:2015-09-26 发布日期:2015-09-26
  • 第一作者:刘苍宇( 1990- ),男,中国地质大学(北京)在读硕士研究生,研究方向为沉积学。 地址:( 100083 )北京市海淀区学院路 29 号中国地质大学(北京)校区。 E-mail : 1026344174@qq.com
  • 基金资助:

    国家重大科技专项“岩性地层油气藏成藏规律、关健技术及目标评价”(编号: 2011ZX05001002 )资助

Application of ΔlgR method in sequence stratigraphy analysis of deep-water sediments: A case study from Qingshankou Formation of Gu 57 well in Gulong Depression, Songliao Basin

Liu Cangyu, Xin Renchen   

  1. School of Marine Sciences , China University of Geosciences , Beijing 100083 ,China
  • Online:2015-09-26 Published:2015-09-26

摘要:

为了探讨深水沉积体系地层单元层序界面及体系域的识别和划分方法,以松辽盆地古龙凹陷古 57 井的电阻率和声波时差测井资料为基础,采用 ΔlgR 方法,计算了古 57 井青山口组的 TOC R 值,在此基础上,讨论了在海平面变化周期内 TOC R 值的变化规律,其与层序地层单元的发育具有较好的对应关系。 在古 57 井青山口组识别出 4 个三级层序旋回, 9 个四级层序旋回,并进一步划分出水进体系域和高位体系域。 结果表明, TOC R 值在水进体系域沉积期逐渐增大,到最大湖泛面处达到极大值;在高位体系域沉积期逐渐减小,到三级和四级层序界面处达到极小值。

关键词: 地震沉积学, 谱反演, 野外地质建模, 隔夹层, 分布预测, 蓬莱坝组, 塔里木盆地

Abstract:

In order to discuss the method of identifying and classifying sequence boundary and system tract in deep-water sedimen-tary system, this paper calculated the values of TOCR of Qingshankou Formation with ΔlgR method on the basis of resistivity and sonic logging data of Gu 57 well in Songliao Basin. With the curve of TOCR, the variation characteristics of TOCR correlate well with the development of sequence stratigraphy units during the sea level change cycle. 4 third-order sequences and 9 fourth-order sequences were recognized in Qingshankou Formation of Gu 57 well, and they were further divided into transgression and highstand system tracts. The result shows that the values of TOCR gradually increase during the TST period and the maximum value is in the maximum flooding surface, and that they gradually decrease during the HST period and the minimal value is in the forth-order and third-order sequence boundaries.

Key words: seismic sedimentology, spectruminversion, outcrop modeling, interbeds, distribution prediction, Penglaiba

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