节点文献

深层高孔渗碳酸盐岩储层岩相识别模式与应用——以普光气田为例

Lithofacies identification model for deep high-porosity and high-permeability carbonate reservoir and its applications:Examples in Puguang Gas Field

  • 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】 黄捍东罗群赵迪

【Author】 Huang Han-dong1,2,Luo Qun3,and Zhao Di4.1.CNPC Key Geophysical Laboratory,China University of Petroleum,Beijing,102200,China2.Enhanced Oil Recovering Research Center,China University of Petroleum,Beijing,102200,China3.Research Center of Basin and Reservoir,China University of Petroleum,Beijing,102200,China4.Deyang Branch E&P Research Institute,SWPB,SINOPEC,Deyang,Sichuan,618000,China

【机构】 中国石油大学CNPC物探重点实验室中国石油大学提高采收率中心中国石油大学盆地与油藏研究中心中石化西南油气分公司勘探开发研究院德阳分院

【摘要】 普光气田储层岩性岩相复杂、埋藏深,非均质性强,利用地震资料进行高孔渗储层预测难度大。据该区10口井的测井资料统计,该区存在两类9种储层,其中鲕粒亚相、砂屑砾屑亚相、生物礁亚相为有利的高孔渗储层类型。本文以高精度储层反演成果为主线,结合岩性岩相、区域沉积背景分析,依据不同相带在反演剖面上的外部形态、内部结构以及与围岩的关系,建立了普光气田主体高孔渗储层相带预测模式,预测了普光气田有利的高孔渗储层分布,为该区进一步勘探提供了依据。

【Abstract】 It is very difficult to predict of deep high-porosity and high-permeability reservoirs in Puguang Gas Field by seismic data due to their complex lithology,lithofacies and strong anisotropy.Based on logging data of 10 wells in the gas field,two categories of reservoirs exists,which include nine kinds of reservoirs,among of which oolite subfacies,sand-gravel subfacies and reef subfacies are beneficial reservoir types of high porosity and high permeability.In this work,a lithofacies identification model for deep high-porosity and high-permeability reservoir is proposed based on high-accuracy inversion.Combining lithofacies and regional sedimentary setting analysis,external feature,internal structure and relationship with surrounding rocks,high-porosity and high-permeability carbonate reservoirs in Puguang Gas Field are predicted for further exploration.

【基金】 国家科技重大专项“大陆边缘盆地储层地球物理勘探关键技术”(2008ZX05030-04-03);国家973项目“深部有效碎屑岩储层成因机制与发育模式”(2011CB201104)资助
  • 【文献出处】 石油地球物理勘探 ,Oil Geophysical Prospecting , 编辑部邮箱 ,2011年02期
  • 【分类号】P618.13
  • 【被引频次】5
  • 【下载频次】336
节点文献中: 

本文链接的文献网络图示:

本文的引文网络