复杂地震信号分数域频谱成像理论及应用研究

项目名称： 复杂地震信号分数域频谱成像理论及应用研究

项目编号： No.41274127

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 天文学、地球科学

项目作者： 彭真明

作者单位： 电子科技大学

项目金额： 80万元

中文摘要： 提出和研究一种新的将常规频谱成像理论延伸到分数域频谱成像(FrFSI)的理论与方法，充分挖掘复杂地震信号的分数域时频异常，更精确的刻画表征流体异常信号的时频分布规律。研究内容包括:1）针对复杂地震信号的广义FrFSI基础理论和方法研究，建立分数域多种时频分布的统一表示形式，探索和研究分数域与整数域、不同分布变换核之间的内在关系。2）高分辨率FrFSI关键技术研究，包括分数域最优时频采样，分数域最优阶，时频能量再分配等理论和方法等。3）复杂地震信号分数谱分解、分数谱属性分析及高维特征可视化展布方法等。即在新的分数域特征空间内，通过不同阶次下的频谱成像和谱分解技术，提取各种有效频谱属性和敏感流体因子，以期获得更好的储层预测和流体识别效果。研究着眼于现代信号处理的创新理论与方法研究，具有重要的理论意义；同时，紧密结合复杂油气藏勘探亟待解决的难点问题，具有良好的应用前景。

中文关键词： 分数阶傅里叶变换；最优阶；地震频谱成像；分数域属性分析；流体识别

英文摘要： In order to accurately describe and characterize the time-frequency distribution regularity by fully mining the time-frequency abnormalities for complex seismic signals, this project presents a new theory and method of the fractional frequency spectrum imaging (FrFSI) by expanding the classic Time-frequency analysis. Major research works include: (1) Study on the basic theory and methods of the generalized fractional frequency spectrum imaging (GFrFSI) for complex seismic signals. We establish a unified time-frequency representation of different distribution in the fractional domain, and explore and research the inherent relationship between the fractional and integer domain, and the transform kernel with the different distribution. (2) Study on the key techniques of the fractional frequency spectrum imaging with high resolution, include the optimal time-frequency sampling, the optimal order and time-frequency re-distribution in fractional domain. (3) Study on the methods of the fractional spectral decomposition, attributes analysis in fractional domain and the visualization of high dimensional feature for the complex seismic signals. We extract a variety of efficient spectrum properties and sensitive fluid factor by means of frequency spectrum imaging and spectral decomposition with different order in a new fea

英文关键词： Fractional Fourier transform；Optimal order；Seismic frequency spectrum imaging；Attribute analysis in fractional domain；Fluid identification