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小波分频分析法在沉积层序划分及等时对比中的应用
引用本文:王贵文,徐敬领,杨宁,赖锦,赵显令.小波分频分析法在沉积层序划分及等时对比中的应用[J].高校地质学报,2013,19(1):70-77.
作者姓名:王贵文  徐敬领  杨宁  赖锦  赵显令
作者单位:中国石油大学(北京)油气资源与探测国家重点实验室;中国地质大学(北京)地质过程与矿产资源国家重点实验室;地下信息探测技术与仪器教育部重点实验室;中国地质大学(北京)地球物理与信息技术学院
基金项目:国家科技重大专项(2011ZX05020-008)资助
摘    要:

为了提高沉积层序旋回自动划分对比的精度和准确度,解决高频层序旋回划分难、人为性、多解性等问题,在厘定
前人研究成果的基础上,以国内陆相拉张型盆地沉积层序旋回特征为切入点,以实际测井资料为依托,开展小波分频分析
方法的研究,查明了小波分频分析方法研究不同级别沉积层序旋回的基础理论,建立了表征不同类型沉积层序旋回的量化
标准和响应标准模式,实现了小波分频分析方法在层序界面拾取、层序单元划分、复杂地层精细划分及等时对比中的应用,
为提高沉积层序旋回划分及等时对比的精度提供有力的证据。

关 键 词:沉积层序旋回  小波分频分析方法  等时对比  层序界面

Using Wavelet Frequency Analysis to Divide Sedimentary Sequence Cycles and Isochronous Correlation
WANG Guiwen,XU Jingling,YANG Ning,LAI Jin,ZHAO Xianling.Using Wavelet Frequency Analysis to Divide Sedimentary Sequence Cycles and Isochronous Correlation[J].Geological Journal of China Universities,2013,19(1):70-77.
Authors:WANG Guiwen  XU Jingling  YANG Ning  LAI Jin  ZHAO Xianling
Institution:1.State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing 102249,China;2.State Key Laboratory of Geological Processes and Mineral Resources,China University of Geosciences,Beijing 100083,China;3.Key Laboratory of Geo-detection,Ministry of Education,China University of Geosciences,Beijing 100083,China;4.School of Geophysics and Information Technology,China University of Geosciences,Beijing 100083,China
Abstract:In order to improve accuracy and precision of automatic correlation of sequence cycles, to solve problems of difficult
division, artificial conditions and multiplicity of high resolution sequence cycles, based on previous research and actual well
logging data, this paper takes the different characteristics of various sedimentary sequence cycles in Chinese continental
extensional basins as the objective, and conducts the research of wavelet frequency analysis. This paper clarifies the basic theory
that wavelet frequency analysis is used to divide various sedimentary sequence cycles, and sets up the quantitative standards and
response standard model for different types of sedimentary sequence cycles. We can realize the goal of applying wavelet frequency
analysis in sequence boundary recognization, sequence unit division, high-resolution division and isochronous correlation of
complicated reservoirs, and provide a powerful tool for division and isochronous correlation of sedimentary sequence cycles.
Keywords:sedimentary sequence cycles                                                                                                                        wavelet frequency analysis                                                                                                                        isochronous correlation                                                                                                                        sequence boundary
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