【摘要】 随着地震勘探进程的不断深入，需要更有效的流体识别方法满足日益提高的储层预测精度的要求。根据动态等效介质理论设计的两层储层初始模型推导了逆品质因子与速度的最佳正弦拟合解析式，定义了依赖频率的纵、横波衰减参数，并构建了利用叠前角道集和岩石模量反演衰减参数的算法。通过模型试算和实际数据应用验证该算法，结果显示：纵、横波衰减参数对含流体储层的敏感度高，衰减参数属性反演结果能够有效识别高含气饱和度储层；纵波衰减参数受背景干扰小，能更准确地识别含气储层。所提算法为有效利用衰减属性进行流体识别提供了一种新的途径。更多还原

【Abstract】 As seismic exploration progress develops,effective fluid identification methods are required to meet the demands of increasingly improved reservoir prediction accuracy.In this paper,according to an initial model of a two-layer reservoir designed by dynamic equivalent medium theory,an optimal sinusoidal fitting analytical formula between the reciprocal of quality factor and velocity is established,and the frequency-dependent P-wave and Swave attenuation parameters are defined.In addition,an algorithm adopting attenuation parameters of pre-stack angle gathers and rock modulus inversion is constructed and verified by model calculation and real data.The results show that the Pwave and S-wave attenuation parameters are highly sensitive to reservoirs with fluids,and the attribute inversion results of attenuation parameters indicate that reservoirs with high gas saturation can be effectively identified.Specifically,the P-wave attenuation parameter is less disturbed by the background and can accurately identify gas reservoirs.Therefore,the proposed algorithm provides a new way to effectively identify fluids by using attenuation attributes.更多还原