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裂缝性储层三维可视化预测

3-D visualization prediction of the fractured reservoir

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【作者】 吴朝容段文燊龚莉

【Author】 WU Chao-rong1,DUAN Wen-shen2,GONG Li3 1.MOE Key Laboratory of Earth Exploration and Information Technology,Chengdu University of Technology,Chengdu 610059,China; 2.Southwest Petroleum Company of SINOPEC,Chengdu 610081,China; 3.BGP Geophysical Research Institute,CNPC,Zhuozhou 072751,China

【机构】 成都理工大学地球探测与信息技术教育部重点实验室中国石化西南油气分公司东方地球物理公司研究院

【摘要】 裂缝发育带的预测是四川盆地须家河组这类致密碎屑岩储层预测成败的关键。结合井震资料,通过多属性分析,优选振幅、平均能量、混沌反射、振幅加权瞬时频率4种属性进行裂缝性储层地震响应特征分析,总结出裂缝性储层发育段具有弱振幅、低平均能量、低AWIF、高混沌发射的特征。在此基础上,利用三维可视化技术进行分析,认为对振幅、波阻抗类属性数据体,重点突出弱值;对混沌反射、自动断层检测等数据体,突出高值,形成了一套利用三维可视化技术进行裂缝性储层空间预测的技术。以振幅、混沌反射和自动断层检测数据体为例,针对某工区进行了裂缝性储层空间分布规律的三维可视化刻画,所得成果能够清晰地展现储层空间分布特征。

【Abstract】 In Upper Triassic Xujiahe Formation of Sichuan basin,the strata are characterized by very low porosity and permeability,and the forecast of space distribution of fractured reservoirs is the key.Combined with the logging and seismic data and analysing multi-attributes,optimizing the post-stack seismic data processing method,and the paper studies the seismic response characteristics of the optimum amplitude,average energy,chaotic reflection and amplitude weighted instantaneous frequency.The fractured reservoirs have weak amplitude,low average energy,low amplitude weighted instantaneous frequency and high chaotic reflection.Combined with the advantage of 3-D visual technology,the types of data are depicted in the three dimensional space.It is considered that the low value is emphasized in such data like amplitude and impedance and to these the high value is emphasized in the data like chaotic reflection and auto-fault extraction(AFE).Based on these,a suit of technology is formed about fractured reservoir prediction using 3-D visualization analysis method.Taking amplitude,chaotic reflection and AFE for example,the paper depicts the spatial distribution of the fractured reservoirs.The results can clearly exhibit the spatial distribution of the reservoirs.

【关键词】 裂缝性储层三维可视化预测
【Key words】 fractured reservoir3-D visualizationprediction
【基金】 川庆物探公司-成都理工大学复杂油气藏地球物理联合研究所资助项目
  • 【文献出处】 成都理工大学学报(自然科学版) ,Journal of Chengdu University of Technology(Science & Technology Edition) , 编辑部邮箱 ,2012年04期
  • 【分类号】P618.13
  • 【被引频次】1
  • 【下载频次】123
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