Applications of spectral nversion in the at-tribute interpretation
Liu Wanjin1,2,3, Zhou Hui1,2, Yuan Sanyi1,2, Liu Wenling4
1. State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing 102249,China;
2. CNPC Key Laboratory of Geophysical Exploration,China University of Petroleum(Beijing),Beijing 102249,China;
3. State Key Laboratory of Coal Resources and Safe Mining,China University of Mining and Technology(Beijing),Beijing 100083,China;
4. Research Institute of Petroleum Exploration & Development,PetroChina,Beijing 100083,China
Abstract：Any reflection coefficient sequence can be de-composed into odd and even components.The oddcomponents are not conducive to detect thin beds，while a few even components can improve the thinbed identification. The essential of spectral inver-lion improves the seismic data resolution using theeffective interference of the even components whenthe thin-bed thickness tends to zero.Using an in-verse method to acquire a minimum objective func-tion of the frequency domain with noise free andknown seismic wavelet，spectral inversion based on the spectral decomposition gets reflection coeffi-cient and identify any thin-bed thickness.Themain feature of the method is that sparse reflectioncoefficient or thickness could be inversed using on-1y part of the spectrum information.The applica-tion of this spectral inversion method in a 3D seis-mic data volume from Daqing Oilfield obtains a re-flection coefficient set.Then the resolution of the3D seismic data volume is improved by the givenbroad-band wavelet convolution with the reflectioncoefficient set.Finally，seismic attribute interpre-tation is performed.Compared with the conven-tional seismic attribute analysis，this spectral in-version method can improve sedimentary facies andsmall fault identifications.
