Processing the seismic section 2D by the method of traditional migration and method of visual processing as digital image for enhancing the final section

Authors

  • Dr. Nedal Johnny

Keywords:

seismic section, seismic migration, fresinel zone, diffraction waves

Abstract

Migration operations are considered important stage in seismic data Processing which give seismic section the best image for underground geology, especially for structural aspect in case of existence of fualts, anticlinals  and  syclinals so the reflection surface will be lesser than Fresnel diameter which its reflection area on reflexive surface which lead to deformity of seismic section which remain even after completing all required processing stages.

Not doing deep or time seismic migration allowing for diffraction  to seismic section deformity, consequently deformation of underground geology image, especially structural constructions, which give deformed image because that distances of surfaces as result of aformentioned geological structures and horizontal cut will be less ability for lateral resolution of seismic waves. Various methods of migration are used for getting off effect of emerged diffraction waves on seismic section such as prestack migration and post stack migration. Several mathematical methods and various algorithms will be used most important of them is Kirshoff algorithms or methods and finite diffrential methods, there are  a lot of methods in execution of seismic migration as required objective of migration.

We will put Kirsh off algorithm in time field by using Matlab for solving diffraction waves for non-migrated seismic section consist on concave reflector. Then handling migrated section and non-migrated visually by using Matlab also,and comparing the three cases for reaching to best solutions for handling time seismic section.

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Published

2021-08-26

How to Cite

Processing the seismic section 2D by the method of traditional migration and method of visual processing as digital image for enhancing the final section. (2021). Damascus University Journal for the Basic Sciences, 34(1). https://journal.damascusuniversity.edu.sy/index.php/basj/article/view/1239