Kirchhoff integral migration imaging is widely used in industrial production due to its advantages of not being limited by observation systems,good target imaging effects,and high computational efficiency.Vertical tra...Kirchhoff integral migration imaging is widely used in industrial production due to its advantages of not being limited by observation systems,good target imaging effects,and high computational efficiency.Vertical transversely isotropic(VTI)media,as a typical anisotropic media,has always been a primary focus of anisotropic migration imaging research.We focus on the problems of low accuracy and efficiency in travel-time calculations associated with conventional Kirchhoff integral migration for VTI media.A travel-time calculation method based on physical-informed neural network(PINN)for VTI media is introduced into the process of Kirchhoff integral migration imaging.Model experiments and field data processing have shown that the travel-time calculation based on PINN can significantly improve both the accuracy and efficiency when compared to traditional finite difference algorithms,there-by enabling high-precision Kirchhoff integral migration imaging for VTI media.展开更多
The Z component and X component profiles of seismic waves extracted with the prestack Kirchhoff integral migration could approximate to the primary wave （P wave） and converted shear wave （PS wave） profiles under c...The Z component and X component profiles of seismic waves extracted with the prestack Kirchhoff integral migration could approximate to the primary wave （P wave） and converted shear wave （PS wave） profiles under certain conditions. The relative change of their reflection amplitude reflects the formation stress anomaly and subsurface media anisotropy. The principle and method for extracting amplitude ratios were studied and the application of amplitude ratio profiles was also examined when processing and interpreting actual seismic data. The amplitude ratio profile is an effective supplementary means of identifying the stratigraphic boundary and lithology.展开更多
We propose a combined migration velocity analysis and imaging method based on Kirchhoff integral migration and reverse time migration,using the residual curvature analysis and layer stripping strategy to build the vel...We propose a combined migration velocity analysis and imaging method based on Kirchhoff integral migration and reverse time migration,using the residual curvature analysis and layer stripping strategy to build the velocity model.This method improves the image resolution of Kirchhoff integral migration and reduces the computations of the reverse time migration.It combines the advantages of efficiency and accuracy of the two migration methods.Its application in tunnel seismic prediction shows good results.Numerical experiments show that the imaging results of reverse time migration are better than the imaging results of Kirchhoff integral migration in many aspects of tunnel prediction.Field data show that this method has efficient computations and can establish a reasonable velocity model and a high quality imaging section.Combination with geological information can make an accurate prediction of the front of the tunnel geological structure.展开更多
基金funded by the Open Fund of No.1 Institute of Geology and Mineral Resources of Shan-dong Province(No.2022DY03)the National Natural Sci-ence Foundation of China(Nos.42074138 and 42206195)the Wenhai Program of the ST Fund of Laoshan Labo-ratory(No.LSKJ202204803).
文摘Kirchhoff integral migration imaging is widely used in industrial production due to its advantages of not being limited by observation systems,good target imaging effects,and high computational efficiency.Vertical transversely isotropic(VTI)media,as a typical anisotropic media,has always been a primary focus of anisotropic migration imaging research.We focus on the problems of low accuracy and efficiency in travel-time calculations associated with conventional Kirchhoff integral migration for VTI media.A travel-time calculation method based on physical-informed neural network(PINN)for VTI media is introduced into the process of Kirchhoff integral migration imaging.Model experiments and field data processing have shown that the travel-time calculation based on PINN can significantly improve both the accuracy and efficiency when compared to traditional finite difference algorithms,there-by enabling high-precision Kirchhoff integral migration imaging for VTI media.
文摘The Z component and X component profiles of seismic waves extracted with the prestack Kirchhoff integral migration could approximate to the primary wave （P wave） and converted shear wave （PS wave） profiles under certain conditions. The relative change of their reflection amplitude reflects the formation stress anomaly and subsurface media anisotropy. The principle and method for extracting amplitude ratios were studied and the application of amplitude ratio profiles was also examined when processing and interpreting actual seismic data. The amplitude ratio profile is an effective supplementary means of identifying the stratigraphic boundary and lithology.
基金sponsored by Nation 973 Program(Grant No.2007CB209603)Nation 863 projection(Grant No. 2006AA06Z108)+2 种基金Nation 863 Program(Grant No.2007AA06Z215)Young Teachers Innovation Fund of Jilin University(No. 421032124424)Graduate Innovation Fund of Jilin University(Grant No.20101059)
文摘We propose a combined migration velocity analysis and imaging method based on Kirchhoff integral migration and reverse time migration,using the residual curvature analysis and layer stripping strategy to build the velocity model.This method improves the image resolution of Kirchhoff integral migration and reduces the computations of the reverse time migration.It combines the advantages of efficiency and accuracy of the two migration methods.Its application in tunnel seismic prediction shows good results.Numerical experiments show that the imaging results of reverse time migration are better than the imaging results of Kirchhoff integral migration in many aspects of tunnel prediction.Field data show that this method has efficient computations and can establish a reasonable velocity model and a high quality imaging section.Combination with geological information can make an accurate prediction of the front of the tunnel geological structure.
