在AVO理论的基础上,利用时频分析技术获得频率依赖的反射系数信息,通过FAVO(Frequency dependent AVO)反演可以获得速度频散程度属性.由于地震波速度频散主要由孔隙流体的相关性,该属性可以作为识别因子实现储层流体检测.笔者推导了FAVO技术的反演公式,并选择刚果地区深水砂岩储层作为目标,通过一维数值模型和二维实际剖面,进行了含气砂体刻画和含气性识别研究.反演结果与钻井吻合程度较好,证明了该技术在深水砂岩储层流体识别中的有效性.%The frequency dependent reflection coefficient can be obtained by time frequency analysis,based on the AVO theory.Using FAVO (Frequency dependent AVO) inversion technique,the authors obtained the property of velocity dispersion degree.Because of the correlation between the velocity dispersion and pore fluid,the property can be used in fluid detection in the reservoir as an identification factor.In this paper,the authors derived the inversion formula and chose the deep-water sandstone reservoir as the research target.The research on gas sand-body characterization and gas content identification was based on 1D numerical model and 2D real section.The inversion results are well coincident with the drilling results,which shows the effectiveness of the technique in fluid identification of deepwater sandstone reservoirs.
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