orey 发表于 2014-4-17 17:10:57

储层预测的地震属性优选技术研究

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
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