eprintid: 11881
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/18/81
datestamp: 2023-11-10 03:26:25
lastmod: 2023-11-10 03:26:25
status_changed: 2023-11-10 01:16:22
type: conference_item
metadata_visibility: show
creators_name: Prajapati, S.
creators_name: Ghosh, D.
title: Enhancing velocity model for gas cloud using first break travel time tomography full waveform inversion
ispublished: pub
keywords: Gasoline; Geometrical optics; Seismology; Structural properties; Tomography; Waveform analysis, Complex structure; Eikonal equation; Faster convergence; Full-waveform inversion; Higher resolution; Initial velocities; Input velocity; Travel time tomography, Velocity
note: cited By 0; Conference of International Petroleum Technology Conference 2019, IPTC 2019 ; Conference Date: 26 March 2019 Through 28 March 2019; Conference Code:146421
abstract: The velocity model is of a great importance for geological as well as structural properties of complex structure such as gas cloud. Instead of ray-based techniques, eikonal wavefield tomography can provide a higher resolution velocity model for seismic images. We have implemented first break travel time tomography to enhance the initial velocity model for seismic full waveform inversion (FWI) for better imaging rather than guess initial velocity model for FWI. The First-break travel time concept is based on the eikonal equation, relies on inversion to resolve the complex gas cloud imaging. It allows not only the receivers but the shots to change position along the ray path. Tomography results are useful particularly significant in the presence of noise, scattering in the data. We have implemented this approach on marmousi as well as gas cloud model and output are used as input velocity model for FWI and results of proposed approach is more robust than the traditional with faster convergence. © 2019, International Petroleum Technology Conference
date: 2019
publisher: International Petroleum Technology Conference (IPTC)
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088405615&doi=10.2523%2fiptc-19076-ms&partnerID=40&md5=07d1220d40fc8e5bc3c7bcc179f8421d
id_number: 10.2523/iptc-19076-ms
full_text_status: none
publication: International Petroleum Technology Conference 2019, IPTC 2019
refereed: TRUE
isbn: 9781613996195
citation:   Prajapati, S. and Ghosh, D.  (2019) Enhancing velocity model for gas cloud using first break travel time tomography full waveform inversion.  In: UNSPECIFIED.