基于地震波解析信号的小波域高精度深部储层预测方法研究

本项目聚焦深部的低信噪比和低分辨率地震资料的高精度储层预测方法。首先研究基于地震波解析信号小波变换的高精度时频分析方法(简称解析小波变换)及基于其的高效稳定自适应增益限反Q滤波方法，提高地震中资料分辨率和信噪比；在此基础上，研究基于解析小波变换及时间相位域振幅谱和广义希尔伯特变换的时间相位域保相位改进型广义希尔伯特变换方法，用于高精度的烃类检测及边缘检测，最终实现地震资料的高精度深部储层预测，提升地震资料对深部断层及薄储层的识别能力。该研究将为实现深部储层高精度预测提供新途径，为工程实际应用打下良好理论基础，推动深部储层油气藏勘探。

This work proposes a high precision reservoir description method for low S/N seismic data with low resolution of deep reservoirs. To improve both seismic resolution and S/N ratio, we propose two methods, namely, high precision time-frequency analysis via wavelet transform of seismic wave analytic signal (AWT, Analytic Wavelet Transform) and efficient and stable inverse Q filtering with adaptive gain-limit based on AWT. Based on the methods above, we derive a modified Generalized Hilbert Transform with phase-preservation in time-phase domain by the analytic wavelet transform and the time-phase amplitude spectrum. The method will be applied to high precision hydrocarbon detection and edge detection. Finally, the methods will realize high precision description of deep reservoirs and enhance the ability of deep seismic data for fault characterization and thin reservoirs identification. The study will provide a new way to achieve high precision description of deep reservoirs and also provide a solid theoretical foundation for the practical application. Eventually, it will promote the exploration of deep oil/gas reservoirs.