eprintid: 13092
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/30/92
datestamp: 2023-11-10 03:27:39
lastmod: 2023-11-10 03:27:39
status_changed: 2023-11-10 01:50:19
type: article
metadata_visibility: show
creators_name: Bashir, Y.
creators_name: Muztaza, N.M.
creators_name: Alashloo, S.Y.M.
creators_name: Ali, S.H.
creators_name: Ghosh, D.P.
title: Inspiration for seismic diffraction modelling, separation, and velocity in depth imaging
ispublished: pub
note: cited By 12
abstract: Fractured imaging is an important target for oil and gas exploration, as these images are heterogeneous and have contain low-impedance contrast, which indicate the complexity in a geological structure. These small-scale discontinuities, such as fractures and faults, present themselves in seismic data in the form of diffracted waves. Generally, seismic data contain both reflected and diffracted events because of the physical phenomena in the subsurface and due to the recording system. Seismic diffractions are produced once the acoustic impedance contrast appears, including faults, fractures, channels, rough edges of structures, and karst sections. In this study, a double square root (DSR) equation is used for modeling of the diffraction hyperbola with different velocities and depths of point diffraction to elaborate the diffraction hyperbolic pattern. Further, we study the diffraction separation methods and the effects of the velocity analysis methods (semblance vs. hybrid travel time) for velocity model building for imaging. As a proof of concept, we apply our research work on a steep dipping fault model, which demonstrates the possibility of separating seismic diffractions using dip frequency filtering (DFF) in the frequency-wavenumber (F-K) domain. The imaging is performed using two different velocity models, namely the semblance and hybrid travel time (HTT) analysis methods. The HTT method provides the optimum results for imaging of complex structures and imaging below shadow zones. © 2020 by the authors.
date: 2020
publisher: MDPI AG
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087349193&doi=10.3390%2fapp10124391&partnerID=40&md5=708cc84855a2e3b24af64b66c1bf7fd1
id_number: 10.3390/app10124391
full_text_status: none
publication: Applied Sciences (Switzerland)
volume: 10
number: 12
refereed: TRUE
issn: 20763417
citation:   Bashir, Y. and Muztaza, N.M. and Alashloo, S.Y.M. and Ali, S.H. and Ghosh, D.P.  (2020) Inspiration for seismic diffraction modelling, separation, and velocity in depth imaging.  Applied Sciences (Switzerland), 10 (12).   ISSN 20763417