石油学报 ›› 2007, Vol. 28 ›› Issue (5): 67-71.DOI: 10.7623/syxb200705012

• 地质勘探 • 上一篇    下一篇

烃源岩分布面积及厚度的预测方法——以松辽盆地北部徐家围子断陷为例

赵为永1, 刘文龙2, 门广田2, 赵全国3   

  1. 1. 中国石油青海油田公司勘探开发研究院 甘肃敦煌736202;
    2. 大庆油田有限责任公司勘探开发研究院 黑龙江大庆163712;
    3. 中国石油华北石油管理局录井处 河北任丘062552
  • 收稿日期:2006-07-03 修回日期:2006-10-08 出版日期:2007-09-25 发布日期:2010-08-06
  • 作者简介:赵为永,男,1973年5月生,2007年获中国石油大学(北京)硕士学位,现为青海油田勘探开发研究院地质工程师,研究方向为层序地层学及测井地质学.E-mail:zwy8936645@yahoo.com.cn

Prediction method for distribution area and thickness of hydrocarbon source rocks——taking Xujiaweizi Depression in Songliao Basin as an example

Zhao Weiyong1, Liu Wenlong2, Men Guangtian2, Zhao Quanguo3   

  1. 1. Exploration and Development Research Institute, PetroChina Qinghai Oilfield Company, Dunhuang 736202, China;
    2. Exploration and Development Research Institute, PetroChina Daqing Oilfield Company, Ltd., Daqing 163712, China;
    3. Logging Department, CNPC Huabei Petroleum, Renqiu 062552, China
  • Received:2006-07-03 Revised:2006-10-08 Online:2007-09-25 Published:2010-08-06

摘要: 在对地层层序划分、地震相分析、沉积相分布、沉积有机相分布以及成烃演化等方法深入研究的基础上,提出了一种以沉积相法为主,以地震相法、井点法、类比法为辅的烃源岩综合预测方法。应用此方法,按照步步优选的思路,采取由粗及细、由浅及深、由整体控制到重点解剖的程序,确定了松辽盆地北部深层徐家围子断陷沙河子组湖相暗色泥岩和煤层烃源岩的面积及厚度。

关键词: 烃源岩, 分布面积, 沉积厚度, 预测方法, 徐家围子断陷, 松辽盆地

Abstract: The stratigraphic sequence division method,seismic facies analysis and the methodology for the distribution of sedimentary facies,sedimentary organic facies and the evolution of hydrocarbon generation were analyzed.A synthetic prediction method for the distribution area and thickness of hydrocarbon source rocks was proposed.The sedimentary facies analysis was taken as the principal method,and the seismic facies analysis,well point method and analogy method were taken as the additional methods in the synthetic prediction method.According to the optimal mentality and technical program realized step by step,the distribution area and deposition thickness of hydrocarbon source rocks in Shahezi Formation of Xujiaweizi Depression in the north deep zone of Songliao Basin were determined with this method.

Key words: hydrocarbon source rock, distribution area, deposition thickness, prediction method, Xujiaweizi Depression, Songliao Basin

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