Gas saturation prediction method based on pre-stack seismic data

The invention discloses a gas saturation prediction method based on pre-stack seismic data, and provides an attribute fusion method which comprehensively considers rock elasticity (pore volume modulus), attenuation (far-offset high-frequency attenuation gradient attribute) and AVO feature (P * G) difference after a reservoir contains gas and quantitatively predicts gas saturation based on fuzzy logic. The problem of multiple analyses existing in conventional gas saturation quantitative prediction based on the difference of a single elastic parameter is avoided, and the reliability of gas saturation prediction is effectively improved. 本发明公开了一种基于叠前地震数据的含气饱和度预测方法，提出一种综合考虑储层含气后岩石弹性(孔隙体积模量)、衰减(远偏移距高频衰减梯度属性)及AVO特征(P*G)差异，基于模糊逻辑的属性融合方法定量预测含气饱和度，避免了常规基于单一的弹性参数的差异进行含气饱和度定量预测存在多解析的问题，有效提高含气饱和度预测可靠性。