石油地球物理勘探2024，Vol.59Issue(3)：591-597,7.DOI:10.13810/j.cnki.issn.1000-7210.2024.03.022
基于匹配追踪算法的薄煤层强反射分离参数优选方法
Parameter optimization of strong reflection separation in thin coal seam based on matching pursuit algorithm
摘要
Abstract
The strong reflection separation method based on matching pursuit algorithm has achieved good re-sults in practical applications with different strong reflection types in recent years.However,the key algorithm parameter selection lacks a theoretical basis and standards with less research involved.Therefore,the meanings of the two key parameters of wavelet phase and separation coefficient are clarified during the strong reflection separation procedure in thin coal seams,and the parameter optimization method of strong reflection separation in thin coal seams based on matching pursuit algorithm is proposed,so as to further improve the characterization accuracy of strong reflection in thin coal seams and better carry out strong reflection separation,as well as res-ervoir prediction.Firstly,this paper classifies the strong reflection wavelet characteristics according to dif-ferent types of strong reflection reservoirs and analyzes the phase feature of strong reflection in thin coal seams.Then,based on the reflection coefficient calculation and separation of the practical drilling well,the paper deter-mines the energy relationship between strong and weak reflections and estimates the separation coefficient to im-prove the separation result of strong reflection.The application result shows that this method can accurately identify strong reflection features in thin coal seams and significantly improve separation results.It highlights the weak reflection characteristics of the reservoir and lays a solid data foundation for fine reservoir prediction.关键词
匹配追踪/薄煤层强反射/参数优选/相位/分离系数/储层预测Key words
matching pursuit/strong refection in thin coal seams/parameter optimization/phase/reflection coeffi-cient/reservoir prediction分类
天文与地球科学引用本文复制引用
朱博华,熊艳梅,常健强,王猛,向雪梅,陈科..基于匹配追踪算法的薄煤层强反射分离参数优选方法[J].石油地球物理勘探,2024,59(3):591-597,7.基金项目
本项研究受中国石化科技攻关项目"黏声介质高分辨率地震成像与流体预测技术研究"(P23085)资助. （P23085）
