石油物探2026，Vol.65Issue(5)：909-921,13.DOI:10.12431/issn.1000-1441.2026.0394
基于蒙特卡洛和阻尼最小二乘联合反演的冻土区微动成像研究
Microtremor imaging of permafrost based on Monte Carlo and DLS joint inversion
摘要
Abstract
The microtremor imaging method is widely used in engineering investigation.However,when applied to frozen ground,variations in the ice content of permafrost often lead to the presence of interlayers with abrupt velocity changes,which compromises the accuracy of conventional inversion methods.To address this issue,this study develops a two-step joint inversion approach for microtremor imaging of frozen ground based on Monte Carlo(MC)and Damped Least Squares(DLS)methods.The MC algorithm,with its multi-restart and random walk strategies,is employed to search the global space for models with the minimum misfit error.The resulting model is then further optimized using the DLS method,enabling precise detection of the subsurface velocity structure.The accuracy and reliability of the proposed method are validated through synthetic tests using typical stratigraphic models.The method is then applied to process and image real microtremor data acquired from a permafrost region.The results demonstrate that,under the complex stratigraphic conditions typical of frozen ground,this method can effectively delineate the permafrost table and stratigraphic interfaces.The inversion results show good agreement with actual geological characteristics,providing relevant parameters for route selection and hazard mitigation in cold-region road construction.关键词
微动面波/蒙特卡洛/DLS/联合反演/冻土Key words
microtremor surface wave/Monte Carlo(MC)/damped least squares(DLS)/joint inversion/permafrost分类
能源科技引用本文复制引用
姜昆,李欣欣,董小波,侯继荣,郑晓慧,路芊芊..基于蒙特卡洛和阻尼最小二乘联合反演的冻土区微动成像研究[J].石油物探,2026,65(5):909-921,13.基金项目
国家自然科学基金项目(42004110)、陕西省自然科学基础研究计划项目(2025JC-YBMS-282)以及陕西省教育厅重点科学研究计划项目(25JS094)共同资助. This research is financially supported by the National Natural Science Foundation of China(Grant No.42004110),the Natural Science Basic Research Program of Shaanxi Province(Grant No.2025JC-YBMS-282),and the Key Scientific Research Program of Shaanxi Provincial Education Department(Grant No.25JS094). （42004110）
