节点文献

大庆榆树林油田地震资料反演技术应用评价

Evaluation of seismic inversion technique in Yushulin Oilfield of Daqing

  • 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】 李传江葛玉辉李林山

【Author】 LI Chuan-jiang1,2,GE Yu-hui3,LI Lin-shan41.College of Earth Sciences,Jilin University,Changchun 130000,China;2.Development Limited Liability Company of Yushulin Oilfield in Daqing,Zhaodong 151100,Heilongjiang,China;3.College of Resources and Environment,Southwest Petroleum University,Chengdu 610000,China;4.Sixth Geological Prospecting Institute,Heilongjiang Geological Survey,Jiamusi 154002,Heilongjiang,China

【机构】 吉林大学地球科学学院西南石油大学资源与环境学院黑龙江地质调查研究总院第六地质勘察院

【摘要】 为扩大油田产能建设规模、丰富开发地震解释方法,本文把不具备储层速度信息的伽玛曲线、电阻率曲线通过一定的转换,实现作为伪声波曲线进行地震反演的目的,使地震反演数据体加入泥质含量及含油性两种信息,有助于进行储层砂岩厚度预测及储层含油性预测。几种地震反演数据体层位标定以声波曲线标定为准,综合预测含油富集区精度可达80%。通过评比地震反演方法得知:波阻抗地震反演可以大幅提高地震解释纵向分辨率;伽玛曲线作为伪声波曲线直接反演是可行的,在预测砂岩方面有优势;电阻率曲线可转换成伪声波曲线,该类反演数据体在预测含油性方面具有独特的优势。

【Abstract】 In order to enlarge capacity building size and to enrich exploitation seismic interpretation methods,gamma log curve without container rock velocity information and resistivity logging curve were converted to realize the purpose of seismic inversion as pseudo sound wave curve,and to make the seismic inversion data volume have information of shale content and oiliness and help to predict the sandstone thickness and oiliness of reservoir bed.The horizon standardization of several seismic inversion data volumes were calibrated as sound wave curve.The precision of oil & gas enriching section aggregate prediction can be up to 80%.Results of seismic inversion methods evaluation show that the longitudinal resolution of seismic interpretation can be improved obviously by wave impedance seismic inversion;it is feasible to invert gamma log curve to sound wave curve and has superiority in prediction sandstone;the resistivity logging curve can be inverted to sound wave curve and this seismic inversion data volume has unique advantage in prediction oiliness of reservoir bed.

  • 【分类号】P631.4
  • 【被引频次】7
  • 【下载频次】137
节点文献中: 

本文链接的文献网络图示:

本文的引文网络