储层预测的地震属性优选技术研究

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储层预测的地震属性优选技术研究

鲍祥生1，尹成1，赵伟2,，张金淼2，刘志斌2

• 西南石油学院资源与环境学院，四川成都610500；2.中海石油（中国）有限公司研究中心，河北高碑店074000）
  
  

Optimizing selection of seismic attributes inreservoir prediction

Bao Xiangsheng, Yin Cheng, Zhao Wei, Zhang Jinmiao andLiu Zhibin

摘要：地震属性分析的关键是地震属性的优选问题。

Abstrct；The analysis technology of seismicattributes, about which the key step is the optimum selection, has become amain technology in reservoir prediction and oil-gas exploration.

目前主要用来优选属性的方法有4中，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。

There are fourdifferent method used in the optimum selection at present:①Methods based on the expert experience; ②Method based on the mathematic theory;③Method combining the expert experience andmathematic theory;④Forward modeling method.

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。

Among thesemethods, the second method with stronger flexibility, less work-time, andhigher efficiency, is the mainstream technology of the optimum selection ofseismic attribution.

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：

This paperpresents a new method based on the mathematic theory to finish the optimum selectionof seismic attributes through 3 steps:

首先选择有效性大的属性；

firstly, theseismic attributes with big validity is selected;

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；

secondly, theattributes with high coincidental rate is selected, then sensitive seismic attributesare obtained by intersecting calculation for seismic attributes with big validityand high coincidental rate;

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。

thirdly, theseismic attributes used for reservoir prediction are concluded aftercompressing with the previous sensitive seismic attributes.

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。

This method hasbeen applied to predict oil-gas character of one reservoir in Suizhong 36-1field and gain well prediction.

关键词：地震属性分析；地震属性的优选；有效性；符合率；压缩处理

Key words: seismicattributes analysis; optimum selection of seismic attributes; validity; coincidence; compress processing