节点文献

元坝地区深层礁滩储层多尺度地震识别技术

Multi-scale seismic identification of deep reef-bank reservoirs in the Yuanba area

  • 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】 蒲勇

【Author】 Pu Yong (Sinopec South Exploration Company,Chengdu,Sichuan 610041,China)

【机构】 中国石化勘探南方分公司

【摘要】 川东北地区礁滩储层埋深大,空间展布复杂多变,因针对深层复杂礁滩储层的地震预测技术还不够完善,一直制约着该区的勘探发展。为此,以川东北元坝地区长兴组礁滩储层为研究对象,对礁滩储层预测技术进行了探索和总结,形成一套以礁滩储层数值模拟技术、小波多尺度边缘检测技术、基于波形复杂程度的储层检测技术、礁滩复合体空间分布预测技术、地震属性分析技术、地震相分析及沉积相解释技术、低频伴影技术以及"相控法"精细储层描述技术等为核心的多尺度地震识别方法,并在元坝地区获得了良好的应用效果,落实了元坝地区长兴组台缘礁滩复合体、礁后浅滩、礁间滩、台内滩4种类型7个勘探目标,已完钻的井均钻遇白云岩储层,并均获得工业气流,表明该技术方法具有推广应用的价值。

【Abstract】 Reservoirs of reef-bank facies in the northeastern Sichuan Basin are buried deep and in a spatial distribution with great complexity and high variability.Therefore,gas exploration in this study area is restricted by current seismic techniques which failed to predict such deep and complex reef-bank reservoirs.In view of this,the reef-bank reservoirs of the Changxing Fm in the Yuanba area,northeastern Sichuan Basin,were taken as a case study.We overviewed the prediction techniques of reef-bank reservoirs and developed a package of multi-scale seismic identification methods consisting of numerical simulation,wavelet multi-scale border identification,waveform-complexity-based reservoir identification,prediction of spatial distribution of reef-bank complex,seismic attribute analysis,seismic facies analysis,sedimentary faices interpretation,low-frequency shadow,and seismic facies-controlled fine reservoir description.Through successful application of this package of methods in the Yuanba area,seven exploration targets divided by four types of depositional facies have been identified in the Changxing FmF including platform-margin reef-bank complex,back-reef shoal,inter-reef bank,intra-platform bank;the completed exploratory wells have all targeted at dolomite reservoirs and obtained commercial gas flows.

【基金】 国家科技重大专项“海相碳酸盐岩储层地震预测识别技术”(编号:2011ZX05005-005)

【创新点】元坝地区深层礁滩储层多尺度地震识别技术

  • 【文献出处】 天然气工业 ,Natural Gas Industry , 编辑部邮箱 ,2011年10期
  • 【分类号】P631.4
  • 【网络出版时间】2011-10-23 23:10
  • 【被引频次】7
  • 【下载频次】244
节点文献中: 

本文链接的文献网络图示:

本文的引文网络