AVO属性分析在储层厚度预测中的应用

Application of AVO Attribute Analysis to Predicting Reservoir Thickness

AVO属性异常与油气之间存在关系,不同的属性具有不同的物理和地质意义。进行属性分析并研究其与储层参数(含气饱和度、有效厚度、孔隙度等)之间的关系,有助于更好地应用AVO技术对研究区进行含气性预测。从叠前地震CRP道集出发,在对数据处理后得到角度道集并进行AVO反演,提取了多种AVO属性,然后进行属性分析,优选对含气性敏感的属性参数,建立起属性组合与已知井点测井解释厚度值之间的关系,最后运用地质统计学的方法对目的层含气有效厚度进行平面预测。

A correlation exists between AVO attribute abnormity and oil and gas. Different attributes are of different physical and geological significances. An analysis of attribute and its relation with reservoir parameters (gas saturation, effective thickness and porosity) is conducive to predicting gas-bearing properties using AVO technology. Based on prestack seismic CRP trace gather, angle gather is obtained after data processing, and AVO inversion is conducted. Various AVO attributes are extracted and analyzed. Optimizing attribute parameters which are sensitive to gas-bearing properties, this paper establishes a correlation between attribute combination and thickness value from well-logging interpretation of the known wells. Finally, planar prediction is carried on by geologic statistics for effective gas-bearing thickness of target layer.