石油地球物理勘探2025，Vol.60Issue(2)：455-466,12.DOI:10.13810/j.cnki.issn.1000-7210.20240081
基于SVS算法优选整形正则化参数的WLSSI谱反演方法研究
Weighted least square spectrum inversion method based on swarm vortex search algorithm for optimizing shaping regularization parameters
乐友喜 1付俊楠 1葛传友1
作者信息
- 1. 中国石油大学(华东)地球科学与技术学院,山东 青岛 266580
- 折叠
摘要
Abstract
Spectrum inversion is an effective means to study non-stationary seismic signals and plays an impor-tant role in seismic signal processing,analysis,and comprehensive interpretation.This paper proposes a weighted least square spectrum inversion method based on the swarm vortex search(SVS)algorithm for opti-mizing shaping regularization parameters(WLSSI-SVSOSR).This method starts from the theoretical formula of the general forward problem,obtains the Fourier series coefficients of the seismic signal,and then introduces shaping regularization into the weighted least square spectrum inversion.Based on the spectrum inversion method,a shaping regularization operator(SRO)is constructed.The swarm vortex search algorithm is used to optimize shaping regularization parameters,which can overcome the problems of a slow convergence and poor stability in the inversion process,and the stable time-frequency distribution characteristics of seismic signals can be obtained.The results of model testing and actual data processing show that this method has a high time-fre-quency resolution and better energy accumulation and can identify the dominant frequency range of oil-gas reser-voirs.The horizontal distribution range of oil-gas reservoirs can be basically determined using the instantaneous amplitude characteristics of the dominant frequency,so as to achieve fine characterization and description of oil-gas reservoirs.关键词
谱反演/整形正则化/分群涡流搜索算法/加权最小二乘/时频谱Key words
spectrum inversion/shaping regularization/swarm vortex search(SVS)algorithm/weighted least square/time-frequency spectrum分类
天文与地球科学引用本文复制引用
乐友喜,付俊楠,葛传友..基于SVS算法优选整形正则化参数的WLSSI谱反演方法研究[J].石油地球物理勘探,2025,60(2):455-466,12.
