摘要
提出一种基于自适应整形正则化的迭代最小二乘谱反演方法(ILSSI-ASR)。该方法从反演思想出发,将整形正则化引入到迭代最小二乘谱反演中,基于反演的谱分析方法构造一种自适应整形算子,并对正则化参数进行自动优选,获得信号在时-频域的分布特征。结果表明该方法较好地解决了反演过程中遇到的多解性及稳定性等问题,拥有更高的时频分辨率及更好的能量聚集性,可对储层进行更精确地刻画。
This paper proposes an iterative least squares spectrum inversion method based on adaptive shaping regularization(ILSSI-ASR).Starting in the framework of inversion,this method introduces the shaping regularization into the iterative least squares spectrum inversion.Based on the spectrum analysis method,an adaptive shaping operator(ASO)is constructed and the regularization parameters are automatically optimized to obtain the distribution characteristics of the signal in the time-frequency domain.The results show that this method can better solve the problems of multiple solutions and stability encountered in the inversion process,has higher time-frequency resolution and better energy accumulation,and enables a more precise description of the reservoir.
作者
乐友喜
陈艺都
吴佳伟
曾勉
陈学国
YUE Youxi;CHEN Yidu;WU Jiawei;ZENG Mian;CHEN Xueguo(Shandong Provincal Key Laboratory of Deep Oil and Gas(China University of Petroleum(East China)), Qingdao 266580, China;No.4 Gas Production Plant, Southwest Oil & Gas Company, SINOPEC, Chongqing 402160, China;Research Institute of Exploration and Development, Shengli Oilfield Branch, SINOPEC, Dongying 257015, China)
出处
《中国石油大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2022年第3期54-61,共8页
Journal of China University of Petroleum(Edition of Natural Science)
基金
国家重大科技专项(2016ZX05026-002)。
关键词
谱反演
自适应整形正则化
最小二乘
时频谱
spectrum inversion
adaptive shaping regularization
least squares
time-frequency spectrum
作者简介
第一作者:乐友喜(1966-),男,教授,博士,研究方向为地震储层预测技术,E-mail:yueyouxi@upc.edu.cn;通信作者:陈艺都(1997-),男,硕士研究生,研究方向为地球物理探测方法与技术,E-mail:402302285@qq.com。
