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作 者:张凤青[1] 张龙华[2] 宋永忠[3] 高静怀[4]
机构地区:[1]大庆油田工程有限公司,大庆163712 [2]大庆油田热电厂,大庆163000 [3]大庆油田有限责任公司勘探开发研究院,大庆163712 [4]西安交通大学电子与信息工程学院波动与信息研究所,西安710049
出 处:《计算机与数字工程》2013年第12期1883-1884,1923,共3页Computer & Digital Engineering
摘 要:广义S变换依据地震信号的特征,用振幅、能量衰减率、能量延迟时间及视频率四类参数构造基本小波,克服了S变换中基本小波固定不变的缺点,是一种高分辨率的时频变换。论文研究将广义S变换用于地震频谱分解,形成了广义S变换地震频谱分解算法和流程。广义S变换频谱分解技术不受时窗长度的限制,大大提高了抗噪性、稳定性和分辨率。实际算例证明,广义S变换地震频谱分解对河道等地质现象的刻画精度要大大高于傅氏变换频谱分解方法,是石油地震勘探中薄层储集体预测的有效手段。The generalized S transform is a kind of high resolution time-frequency transform because its advantages with which the mother wavelet is constructed with four types parameters(amplitude, decay rate of energy, delayed time of energy and apparent frequency) according to the characteristics of the seismic signal so that the shortcoming of changelessness of mother wavelet in S transform is overcame. In this paper, a new seismic spectrum decomposition algorithm and process is presented based on the generalized S transform. The General- ized S transform spectrum decomposition technique is not limited by time window length, so the ability of anti-noise, stability and resolution are greatly improved. The results of field data processing showe that the predicting accuracy for the geological anomaly such as the channel u- sing the generalized S transform seismic spectrum decomposition is much higher than Fourier transform spectral decomposition method does. The generalized S transform seismic spectrum decomposition is an effective approach for identifying thin-bedded reservoir in oil seismic explo- ration.
关 键 词:地震勘探 频谱分解 傅氏变换 S变换 广义S变换
分 类 号:TP301[自动化与计算机技术—计算机系统结构]
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