【摘要】 利用地震资料的流体识别因子,使在地震剖面中就能实现储层中的油、气、水层的识别,这些因子通常由介质密度和纵横波速度或其函数构成,主要有纵横波阻抗、纵横波速度比、泊松比和LMR识别因子、ρf识别因子等,这些识别因子均基于纵横波速度和介质密度等3个参数对流体响应的差异而构建。研究以此三参数差异以外的其他地球物理属性差异来构建新的流体识别因子并与现有应用效果较好的流体识别因子组合成灵敏度更高的因子。扩展流体识别因子EFD,包括高灵敏度流体识别因子(HSFIF)及组合型流体识别因子(EFDC)。它们分别是基于不同炮检距差异特征和优化组合两类扩展流体识别因子。并通过对川东北碳酸盐岩气藏气水层的模拟计算和识别处理,证明扩展流体识别因子具有很好实用性及可靠的识别效果。更多还原

【Abstract】 Some significant fluid detection factors based on the seismic data have been proposed already for discrimination of hydrocarbons.Those factors usually consist of media density,velocities of P-wave and S-wave (generally call them "Three parameters"),such as P-wave and S-wave impedances,velocity ratio of P-wave and S-wave,Poisson’s ratio,Goodway’s LMR factors (1997) as well as Russell’s ρf factor(2003).In this paper,two new fluid detection factors based on new geophysical attributes rather than traditional "three parameters" have been proposed.One of them is based on the AVO contrasts between near offset seismic attributes and far offset attributes.The other is composed of complex of current fluid detection factors which can be used to identify hydrocarbons.Those two factors are named as expended fluid detection factors (EFD).The results of numerical modeling and real seismic data processing in carbonate area by using the EFD show that the expended fluid detection factors are more sensitive to fluids than traditional ones.更多还原