用频谱分解和地震峰值属性分析预测薄砂岩储集层

描述了频谱分解技术的原理和方法,利用模型正演模拟分析薄砂岩储集层，对不同厚度薄砂层的地震反射波形特征进行了分析和总结, 通过岩心、测井分析储集层的岩性和物性，在储集层岩性、物性及波形属性研究基础上以时间域峰值属性优选、数学统计回归和频率域频谱分解调谐理论等技术综合分析、建立预测薄砂岩储集层经验公式，预测了研究区2个优势薄砂岩储集层发育区。实例应用表明，该方法对薄砂岩储集层的认识较为有效。

Using Spectral Decomposition Technology and Seismic Peak Attribute Analysis for Prediction of Thin Sandstone Reservoir

This paper presents the theory and method for spectral decomposition, analyzes thin sandstone reservoir with forward modeling and then generalizes the seismic reflection features of the reservoirs in different sand thickness. The reservoir lithology and physical property studies are based on the drilling cores, logging curves and seismic attributes, establishing the empirical formulae for prediction of the thin sandstone reservoirs by seismic attribute optimizing selection, statistics and regression in time domain and spectral decomposition in frequency domain. It is recognized that there are two advantageous zones with thin sandstone reservoirs in studied area. The applied results show that such a method is more effective for recognition of thin sandstone reservoirs