AVO分析技术在KNW区块煤层含气性预测中的应用

Application of AVO Analysis Technique on Predicting Gas Content of Coalbed in KNW Area

以KNW区为例,通过岩石物理分析发现,模量属性和密度对煤层气敏感,含气量越高,模量属性和密度值越低,且含气量与模量属性负相关关系更加明显。AVO正演模拟分析表明,KNW区8+9号煤层表现为第Ⅳ类AVO异常特征,具体为含气量高异常较强,含气量低异常较弱。分析认为,AVO属性截距和梯度属性(A-B)可以预测KNW区8+9号煤层的含气性,应用效果良好。

Take KNW area as an example,modulus attributes and density of the coalbed are sensitive to coalbed gas through petro-physical analysis.That means the higher the gas content,the lower the modulus attributes and density values,moreover,the negative correlation between gas content and modulus attributes is more obvious.Through AVO forward modeling analysis,8+9#coalbed in KNW area shows the typeⅣof AVO abnormal characteristics,and high gas content corresponds to strong abnormal,low gas content corresponds to weak abnormal.AVO attribute of"A-B"can predict the gas content of 8+9 coalbed in KNW area,which shows good application effect.