Subsurface Imaging of 2D Seismic Data Using Kirchhoff Time Migration Method, Central Iraq

Authors

  • Fadhil A. Obaid Department of Geology, College of Science, University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0002-2582-9216
  • Ali M. Al-Rahim Department of Geology, College of Science, University of Baghdad, Baghdad, Iraq
  • Hassan Zaid Ali Seismic Data Processing Department, Oil Exploration Company, Ministry of Oil, Baghdad, Iraq

DOI:

https://doi.org/10.24996/ijs.2020.61.12.19

Keywords:

Subsurface Imaging, Time Migration, Kirchhoff Method, Balad-Samarra Area, Pre-Stack Time Migration, Post-Stack Time Migration, Ajeel Anticline, Bow-tie

Abstract

Kirchhoff Time Migration method was applied in pre-and post-Stack Time Migration for post-processing of images collected from Balad-Samarra (BS-92) survey line that is sited across Ajeel anticline oilfield. The results showed that Ajeel anticline structure was relocated at the correct position in the migrated stacked section. The two methods (Pre and Post) of migration processing showed enhanced subsurface images and increased horizontal resolution, which was clear after the broadening the syncline and narrowing or compressing the anticline. However, each of these methods was associated with migration noise. Thus, a Post-Stack process was applied using Dip-Removal (DDMED) and Band-Pass filters to eliminate the artifact noise. The time-frequency and signal to noise spectrum analyses as well as the ISO-velocity distribution analysis confirmed that the Pre-Stack Time Migration method outperformed the Post-Stack method as a result of structural complexity.

Downloads

Download data is not yet available.

Downloads

Published

2020-12-30

Issue

Section

Geology

How to Cite

Subsurface Imaging of 2D Seismic Data Using Kirchhoff Time Migration Method, Central Iraq. (2020). Iraqi Journal of Science, 61(12), 3318-3326. https://doi.org/10.24996/ijs.2020.61.12.19

Similar Articles

1-10 of 2709

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)

1 2 > >>