【摘要】 利用高阶统计量比功率谱函数包含更多信息并具有对高斯噪声不敏感的优点 ,及地震信号的高阶谱特征 ,本文提出一种新的利用地震属性参数 (高阶谱特征参数 )进行油气检测和识别的方法 .理论模型和实际资料的检验结果不仅证实了地震信号的高阶谱特征所对应的地质意义 ,而且得出了含水砂岩和含气砂岩的高阶谱属性规律 ,可以直接用来进行油气预测 ,其油气预测效果比常规振幅类属性具有更好的抗噪声能力 .更多还原

【Abstract】 Based on the higher-order statistics property being insensitive to Gaussian noise and containing more information than power spectra, and higher-order spectral attributes of seismic signal, we propose a new approach to forecast oil and gas with the higher-order spectral parameter. The results of the theoretic model and the test on practical data not only prove the geological meaning of higher-order spectra, but also draw a change role of higher-order spectra between water-containing and oil-containing sandstone. It can be used to forecast oil and gas directly. Further more, its prediction results are more effective than that of regular amplitude attributes.更多还原