Analysis of the ambiguity of log-constrained seismic impedance inversion

作     者：Li Guofa Li Hao Ma Yanyan Xiong Jinliang Li Guofa1,2,Li Hao1,2,Ma Yanyan1,2 and Xiong Jinliang3 1 State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),B eijing 102249,China 2 Key Laboratory of Geophysical Prospecting,China National Petroleum Corporation,Beijing 102249,China 3 Dagang Oil field,PetroChina,Tianjin 300280,China

作者机构：State Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) Beijing 102249 China Key Laboratory of Geophysical Prospecting China National Petroleum Corporation Beijing 102249 China Dagang Oil field PetroChina Tianjin 300280 China 

出 版 物：《Petroleum Science》 (石油科学（英文版）)

年 卷 期：2011年第8卷第2期

页      面：151-156页

核心收录：

学科分类：081801[工学-矿产普查与勘探] 0709[理学-地质学] 0819[工学-矿业工程] 0808[工学-电气工程] 08[工学] 0820[工学-石油与天然气工程] 0707[理学-海洋科学] 0817[工学-化学工程与技术] 0818[工学-地质资源与地质工程] 0708[理学-地球物理学] 0807[工学-动力工程及工程热物理] 0815[工学-水利工程] 0816[工学-测绘科学与技术] 0827[工学-核科学与技术] 0802[工学-机械工程] 0813[工学-建筑学] 0703[理学-化学] 0814[工学-土木工程] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 

基　　金：supported by the Major Basic Research Development Program of China’s 973 Project(grant No.2007CB209608) the Science and Technology Innovation Foundation of CNPC(grant No.2010D-5006-0301) 

主　　题：Log-constrained impedance reflection coefficients seismic inversion ambiguity 

摘      要：Although the ambiguity of seismic inversion is widely recognized in both theory and practice, so far as a concrete inversion example is concerned, there is not any objective, controllable method or any standard for how to evaluate and determine its ambiguity and reliability, especially for the high frequency components beyond the effective seismic frequency band. Taking log-constrained impedance inversion as an example, a new appraisal method is proposed on the basis of analyzing a simple geological model. Firstly, the inverted impedance model is transformed to a reflection coefficient series. Secondly, the maximum effective frequency of the real seismic data is chosen as a cutoff point and the reflection coefficient series is decomposed into two components by low-pass and high-pass filters. Thirdly, the geometrical reflection characteristics of the high-frequency components and that of the real seismic data are compared and analyzed. Then, the reliability of the inverted impedance model is appraised according to the similarity of geometrical characteristics between the high-frequency components and the real seismic data. The new method avoids some subjectivity in appraising the inverted result, and helps to enhance the reliability of reservoir prediction by impedance inversion technology.