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Seismic wave propagation characteristics using conventional and advanced modelling algorithm for d-data imaging
YASIR BASHIR1,2 ,
AMIR ABBAS BABASAFARI2,5 ,
SEYED YASER MOUSSAVI ALASHLOO3 ,
NORDIANA MOHD MUZTAZA1 ,
SYED HAROON ALI4 ,
QAZI SOHAIL IMRAN2
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1
School of Physics, Geophysics Section, Universiti Sains Malaysia, USM, Penang, Malaysia.,
2
Centre for Seismic Imaging, Geosciences Department, Universiti Teknologi Petronas, Malaysia.,
3
Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland,
4
Department of Earth Sciences, University of Sargodha, Sargodha, Pakistan,
5
Center of Petroleum Studies, University of Campinas, Campinas, Sao Paulo, Brazil.,
JSE 2021, 30(1), 21–44;
Submitted: 9 June 2025 | Accepted: 9 June 2025 | Published: 1 February 2021
© 2021 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract
The importance of seismic imaging is being impetrative in the petroleum industry because of exploiting minor hydrocarbon reservoirs traps in highly tectonic and complex structures increased. The primary objective of diffraction data imaging is to improve the image of subsurface in looking for structural topographies and the extreme super resolution which can express the sharpness and insides feature in it. These high-resolution images are tools for interpreters to allow for immediate proof of identity the smaller events, pitchouts and edges of the anomalies such as faults, fractures and Salt bodies. After the seismic imaging technology is being advance in recognition of the diffracted wave which is found is a carrier of the high-resolution imaging. In this paper, an algorithm is introduced based on low-rank symbol approximation for modelling the seismic wave propagation. The results demonstrate a dispersion free modelled data which is further used for D-data (diffraction data) imaging. The modelling is performed using low-rank (LR) and Finite difference (FD) methods and observed LR is better than FD. The results of the D-Data images show an enhancement in the band of frequency from 0 to 10 Hz and from 50 to 60 Hz. This paper demonstrates how this can be used to assess the characteristics of subsurface features and enhance the resolution of seismic data to explore the hydrocarbon reservoir.
Keywords
finite difference
low-rank
wave modelling
diffraction
high-resolution
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