Migration is a process by which reflectors are re-positioned to their true subsurface locations. The accuracy of the migrated velocity model and time determines the subsurface imaging quality. For complex structures, the reflecting and/or diffracting energy from source points will not vertically be oriented beneath the common mid-point (CMP). However, an acceptable migrated velocity model is usually performed by several parameters. Stolt migration method is applied to a 2D seismic line within Salah Al-Din province (Balad-Samarra area), central Iraq. To understand the effect of Stolt migration method and parameters used in the migration, a simulated synthetic model has been made with the same field parameters for the studied seismic line and with the same vertical cross-section of the geological subsurface layers. This model is constructed to generate raw seismic data, which was reprocessed using Seismic UNIX (SU) package in the post and pre-stack migration situation. Stolt migration is applied in the time domain for the modeled processed data to test the effects of changing the values of each parameter. A suitable migrated velocity values deduced from the analyzed model is tested for real surveyed line and the images results for the subsurface structures are accurate without diffraction. The results indicate that pre-stack time migration is best due to the lateral velocity variation and structural complexity and velocity analysis confirm that prestack is better than post-stack time migration.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.