摘要
在流体流度属性计算过程中,不同时频分析方法获得的流体流度属性剖面的分辨率存在差异,进而影响储层预测精度,而在流体流度属性计算过程中岩石物理关键参数又难以求取(如岩石的基质体积模量)。为此,引入反褶积广义S变换及LRM线性拟合法提取流体流度属性。具体方法为:利用LRM线性拟合法计算基质体积模量,由Silin等的快纵波反射共振峰值频率公式计算峰值频率,再根据流体流度与振幅对频率的一阶导数的关系,获得储层流体流度属性;通过反褶积广义S变换,提高流体流度属性剖面的分辨率。仿真试验及实例分析结果表明:反褶积广义S变换的时频分布具有较高的时频分辨率和聚集性,对非平稳信号中不同信号分量有较强的区分能力,更适应非平稳地震信号流体流度属性的计算; LRM线性拟合法为确定岩石基质体积模量提供了一种方法。
In the calculation of fluid attributes,the resolution of fluid mobility attribute profiles obtained by time-frequency analysis methods are different,which affects the accuracy of reservoir prediction,and in this calculation,it is difficult to obtain key parameters of rock physics(such as the bulk modulus of rock matrix).Therefore,the deconvolution generalized S-transform and linear regression method(LRM)are introduced to extract the fluid mobility attribute.The realization of the method is as follows:the bulk modulus of matrix is calculated by LRM,the peak frequency is calculated by Silin's formula of peak frequency of fast P-wave reflection resonance,and the reservoir fluid mobility is obtained by the relationship between fluid mobility attribute and derivative of amplitude to frequency;then the deconvolution generalized S-transform is used to improve the resolution of fluid mobility attributes profile.Results of the simulation test and case analysis show that the proposed approach has high time-frequency resolution and a strong ability to distinguish different signal components in non-stationary signals,which is more suitable for fluid mobility attribute calculation of non-stationary seismic signals.LRM provides a method for determining the bulk modulus of rock matrix.
引文
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