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弹性参数反演与属性融合技术在“甜点”预测中的应用
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  • 英文篇名:Application of elastic parameters inversion and attribute fusion technology in the “sweet spot” prediction
  • 作者:张林清 ; 张会星 ; 姜效典 ; 徐玥 ; 周海廷
  • 英文作者:Zhang Lin-qing;Zhang Hui-xing;Jiang Xiao-dian;Xu Yue;Zhou Hai-ting;College of Marine Geo-sciences,Ocean University of China;Evaluation and Detection Technology Laboratory of Marine Mineral Resources,Qingdao National Laboratory for Marine Science and Technology;Key Lab of Submarine Geosciences and Prospecting Techniques,Ministry of Education;
  • 关键词:弹性参数反演 ; 地震属性 ; 属性融合 ; 甜点预测 ; 坐标旋转
  • 英文关键词:Elastic parameter inversion;;Seismic attributes;;Attributes fusion;;"Sweet spot"prediction;;Co-ordinate rotation
  • 中文刊名:TDKX
  • 英文刊名:Natural Gas Geoscience
  • 机构:中国海洋大学海洋地球科学学院;青岛海洋科学与技术国家实验室海洋矿产资源评价与探测技术功能实验室;海底科学与探测技术教育部重点实验室;
  • 出版日期:2017-04-10
  • 出版单位:天然气地球科学
  • 年:2017
  • 期:v.28;No.173
  • 基金:国家自然科学基金“部分饱和孔隙介质中地震波的衰减和频散机理研究”(编号:41204089);; 国家科技重大专项“东海深层大型气田勘探评价技术”项目(编号:2016ZX05027-002)联合资助
  • 语种:中文;
  • 页:TDKX201704012
  • 页数:8
  • CN:04
  • ISSN:62-1177/TE
  • 分类号:92-99
摘要
利用坐标旋转技术可以构建新的弹性参数,并且通过寻找合适的旋转角度,可以使新构建的弹性参数对储层物性和含气性的区分能力最大化。地震属性融合可以将多个属性融合在一起,达到更准确地预测储层的目的。首先通过岩石物理特征分析,利用坐标旋转技术选取和构建了对储层物性和含气性敏感的弹性参数,然后对这些弹性参数进行叠前同时反演;同时利用叠前和叠后地震数据提取了多种地震属性,从中优选出与"甜点"因子相关度较好的地震属性;最后将弹性参数反演结果与优选出的地震属性进行融合,并根据融合结果对储层"甜点"区进行了识别和预测,结果与钻井实际情况基本一致,且比用单一方法更加可靠。
        Coordinate rotation technique can be used to establish new elastic parameters.Finding proper rotation angle can maximize the ability of distinguishing the physical and gas-bearing properties of the reservoirs by using the newly constructed elastic parameters.Fusion technique can fuse different kinds of seismic attributes,which contributes to improve the accuracy of reservoir prediction.By petrophysical analysis,we use coordinate rotation technique to construct sensitive elastic parameters of physical and gas-bearing properties,and then use prestack simultaneous inversion to calculate these parameters.From the seismic attributes extracted from different prestack and poststack seismic data,we select those which have good relevancy with "sweet spot"factor.Finally,we fuse the inversion results of elastic parameters and the selected seismic attributes to identify and predict the reservoir"sweet spot".The result matches the well data and has a higher reliability than that of using one single method.
引文
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