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储层预测的地震属性优选技术研究

Optimizing selection of seismic attributes in reservoir prediction.

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【作者】 鲍祥生尹成赵伟张金淼刘志斌

【Author】 Bao Xiangsheng Yin Cheng Zhao Wei Zhang Jinmiao Liu Zhibin,Southwest Petroleum Institute,Chengdu 610500,China

【机构】 西南石油学院资源与环境学院中海石油(中国)有限公司研究中心中海石油(中国)有限公司研究中心 四川成都610500四川成都610500河北高碑店074000

【摘要】 地震属性分析的关键是地震属性的优选问题。目前主要用来优选属性的方法有4种,即①专家经验法;②数学理论法;③专家经验与数学理论结合法;④正演模拟确定法。其中,数学理论法具有灵活性强、工作量低、效率较高等优点,是目前进行属性优选的主流方法。在此基础上,提出了一种基于数学理论的地震属性优选方法。该属性优选方法的基本原理是:首先选择有效性大的属性;然后选择符合率大的属性,并对有效性大的属性和符合率大的属性进行交集运算,获得灵敏属性;最后对灵敏属性进行压缩处理,得到用来进行储层预测的属性。给出了各类属性的选择方法和原则,并用检验井对预测效果进行了误差分析。将该方法应用于绥中36-1油田某一储层的含油气性预测,并与单纯利用有效性或符合率的预测结果进行了对比。对比结果和检验井验证结果均表明,该方法的预测效果好,预测结果与实际情况吻合率高。

【Abstract】 The analysis technology of seismic attributes,about which the key step is the optimum selection,has become a main technology in reservoir prediction and oil-gas explora- tion.There are four different methods used in the optimum selection at present:①Method based on the expert experi- ence;②Method based on the mathematic theory;③Meth- od combining the expert experience and mathematic theory; ④Forward modeling method.Among these methods,the second method with stronger flexibility,less work-time, and higher efficiency,is the mainstream technology of the optimum selection of seismic attribution.This paper pres- ents a new method based on the mathematic theory to finish the optimum selection of seismic attributes through 3 steps:firstly,the seismic attributes with big validity is se- lected;secondly,the attributes with high coincidental rate is selected,then sensitive seismic attributes are obtained by intersecting calculation for seismic attributes with big valid- ity and high coincidental rate;thirdly,the seismic attrib- utes used for reservoir prediction are concluded after com- pressing with the previous sensitive seismic attributes.This method has been applied to predict oil-gas character of one res- ervoir in Suizhong 36-1 field and gains well prediction.

【基金】 国家高技术研究发展计划(863计划)(2003AA602110—5)资助。
  • 【文献出处】 石油物探 ,Geophysical Prospecting for Petroleum , 编辑部邮箱 ,2006年01期
  • 【分类号】P631.4;P618.130.8
  • 【被引频次】126
  • 【下载频次】1198
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