节点文献

利用测井和地震响应特征识别优质烃源岩——以松南新区断陷群为例

Application of Logging and Seismic Response Characters in Forecasting the Distribution of Good Quality of Source Rocks——By Taking Fault Depression Group in Songnan New Region for Example

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 赵宏伟

【Author】 ZHAO Hong-wei(Research Institute of Exploration and Development,Northeast Branch Company,SINOPEC,Changchun 130062,Jilin,China)

【机构】 中石化东北油气分公司勘探开发研究院

【摘要】 常规的优质烃源岩的识别和评价多通过对烃源岩段采样进行地球化学分析来进行,该方法有一定局限性。而地球物理资料蕴含大量的烃源岩信息,运用测井资料和地震资料,并结合地化分析资料,可以更准确地进行烃源岩(特别是优质烃源岩)的识别、追踪。利用测井资料连续性和纵向分辨率高等诸多特点,结合地化资料,建立优质烃源岩的测井响应特征,可以进行优质烃源岩的识别和厚度的划分;利用地震资料不受井资料的约束和平面上的预测性,结合地化分析资料,建立优质烃源岩的地震响应特征,作进一步的横向追踪后,可以把优质烃源岩的分布范围精细地刻画出来。使用该方法对松南断陷群发育的优质烃源岩进行研究,取得了较好效果。

【Abstract】 Conventional high-quality source rock was identified and evaluated by geochemical analysis of multi-segment samples from hydrocarbon source rocks,whereas this method had certain limitation.While geophysical data contained lots of hydrocarbon source rock data and by using logging data and seismic data and combined with geochemical data,more accurate identification and tracking of source rocks(especially the high-quality source rocks) could be performed.The continuity,high longitudinal resolution and many other features of logging data were used,combined with geochemical data,logging response characteristics of high-quality source rocks were established to identify high-quality source rocks and divide the thickness.The seismic data with no restraint from well data and predictability in a plane were used,combined with geochemical analysis,seismic response characteristics of high-quality source rocks are established for further lateral tracking of seismic data and made clear the distribution range of high-quality source rocks.The method is used to study high quality source rocks in Songnan Fault Depression Group,good results are achieved.

  • 【文献出处】 石油天然气学报 ,Journal of Oil and Gas Technology , 编辑部邮箱 ,2013年08期
  • 【分类号】P618.13;P631.81
  • 【被引频次】1
  • 【下载频次】270
节点文献中: 

本文链接的文献网络图示:

本文的引文网络