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薄储层的识别一直以来都是石油科技工作者所困惑的一个技术难题。常规的时频分析技术存在一些缺陷,难以满足精细勘探开发的要求,而广义S变换吸收了常规的时频分析技术的思想,克服了这些缺陷,可以根据实际信号灵活地选取窗函数,具有更好的时频分辨率。本文首先介绍了广义S变换的基本原理,然后通过仿真试验,将常规的时频分析方法和广义S变换的结果进行对比,试验证明广义S变换具有更好的时频分辨能力,并且结合MarmousiⅡ正演模型,验证了该方法的有效性,最后对实际地震资料进行了处理,并对结果进行了分析,结果表明广义S变换可以有效地识别薄储层。
The identification of thin reservoirs has long been a technical challenge confused by oil scientists. Conventional time-frequency analysis techniques have some shortcomings and are difficult to meet the requirements of fine exploration and development. However, generalized S transform absorbs the conventional techniques of time-frequency analysis, overcomes these shortcomings, and can flexibly select window functions based on actual signals. Good time-frequency resolution. In this paper, the basic principle of the generalized S transform is introduced firstly. Then, the simulation results show that the generalized S transform has better time-frequency resolution compared with the conventional time-frequency analysis method and the result of the generalized S transform. Combining MarmousiⅡ positive The model is validated to verify the validity of this method. Finally, the actual seismic data are processed and the results are analyzed. The results show that the generalized S transform can effectively identify thin reservoirs.