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从时频分析原理出发,并用小波母函数进行伸缩平移变换确定的小波函数,进行连续小波变换,实现了小波时频分析并将其引入层序划分领域.以XB地区G油层组为例,重点阐述了基于小波时频变换的不同尺度变换与各级层序的对应关系及其地质意义,详细介绍了定量化尺度因子是层序界面识别的关键因素,较传统层序划分更适用于定量化层序界面的分析,即宏观上地层沉积旋回响应与曲线大尺度周期响应相一致,其层序边界常常表现为一大的不整合界面,微观上每一个时期地层的沉积规律表现为复杂的曲线叠加方式(小尺度),对应多个岩性韵律的叠加,其层序的边界特征相对不明显.并总结了在实际选取小波尺度因子时应注意的问题,在此基础上,完成了XB地区长期至短期基准面旋回的划分.最后着重用地震层序和地震反演验证小波时频变换应用于层序划分的优越性,结果表明不同伸缩尺度下表现出的周期性震荡特征与岩性关系密切,能更好地揭示了小波时频变换与层序边界的关系,这对为今后小波时频变换指导层序划分进一步提供有力依据.
Based on the principle of time-frequency analysis, the wavelet function which is determined by the telescopic translation transformation of the wavelet mother function is used to carry out the continuous wavelet transform to realize the wavelet time-frequency analysis and to introduce it into the sequence division field. Taking the G reservoir in XB area as an example, The relationship between the different scale transformations and the sequences at different levels based on the wavelet time-frequency transformation and its geological significance are described. The quantitative scale factor is the key factor of the sequence boundary recognition, which is more suitable than the traditional sequence classification for quantification The sequence boundary analysis, that is, the macroscopic upper sedimentary cycle response is consistent with the large-scale periodic response of the curve, and the sequence boundaries often show a large unconformity interface. The microscopic depositional regularity of each stage shows complex curves The superposition method (small scale), corresponding to the superposition of multiple lithology rhythms, has relatively insignificant boundary features of the sequence and summarizes some problems that should be noticed when selecting the wavelet scale factor. On this basis, the XB region Long-term to short-term basal plane cycle.Finally, we focus on the seismic sequence and seismic inversion to verify the superiority of wavelet time-frequency transform applied to sequence division. The result The characteristics of periodic oscillations and lithologies displayed by different scales are closely related to lithology. The relationship between wavelet time-frequency transformation and sequence boundary can be better revealed, which is more effective for the future division of the time-frequency transform guidance sequence in accordance with.