Seismic velocity structure of oceanic crust by inversion using genetic algorithms

We determine the velocity structure along two expanding-spread seismic profiles, shot near the Blake Spur fracture zone in the western North Atlantic. We use the genetic algorithm as an optimization method in our inversion scheme. The genetic algorithm requires a forward modelling tool, for which we...

Full description

Bibliographic Details
Published in:Geophysical Journal International
Main Authors: Drijkoningen, Guy G., White, Robert S.
Format: Text
Language:English
Published: Oxford University Press 1995
Subjects:
Online Access:http://gji.oxfordjournals.org/cgi/content/short/123/3/653
https://doi.org/10.1111/j.1365-246X.1995.tb06881.x
id fthighwire:oai:open-archive.highwire.org:gji:123/3/653
record_format openpolar
spelling fthighwire:oai:open-archive.highwire.org:gji:123/3/653 2023-05-15T17:33:10+02:00 Seismic velocity structure of oceanic crust by inversion using genetic algorithms Drijkoningen, Guy G. White, Robert S. 1995-12-01 00:00:00.0 text/html http://gji.oxfordjournals.org/cgi/content/short/123/3/653 https://doi.org/10.1111/j.1365-246X.1995.tb06881.x en eng Oxford University Press http://gji.oxfordjournals.org/cgi/content/short/123/3/653 http://dx.doi.org/10.1111/j.1365-246X.1995.tb06881.x Copyright (C) 1995, Oxford University Press Articles TEXT 1995 fthighwire https://doi.org/10.1111/j.1365-246X.1995.tb06881.x 2012-11-23T22:11:15Z We determine the velocity structure along two expanding-spread seismic profiles, shot near the Blake Spur fracture zone in the western North Atlantic. We use the genetic algorithm as an optimization method in our inversion scheme. The genetic algorithm requires a forward modelling tool, for which we use kinematic ray tracing when traveltimes are required, and Chapman's (WKBJ seismogram) method when waveforms are needed. We optimize the seismic problem by first making a traveltime fit with velocity functions consisting of linear velocity gradients: these calculations are fast. Subsequently, we fit waveforms using B-splines for the velocity function. The splines give more consistent synthetic seismograms than linear velocity gradients because caustics caused by the model discretization do not introduce amplitude distortions, so we remain within the region of validity of asymptotic theory. We introduce a stopping criterion for genetic algorithms similar to the one used in crude Monte Carlo methods. Finally, we illustrate the whole procedure by applying the method to P - and S -wave refraction data, and compare the results of automatic inversion for the velocity-depth structure with results from trial-and-error forward modelling. Text North Atlantic HighWire Press (Stanford University) Geophysical Journal International 123 3 653 664
institution Open Polar
collection HighWire Press (Stanford University)
op_collection_id fthighwire
language English
topic Articles
spellingShingle Articles
Drijkoningen, Guy G.
White, Robert S.
Seismic velocity structure of oceanic crust by inversion using genetic algorithms
topic_facet Articles
description We determine the velocity structure along two expanding-spread seismic profiles, shot near the Blake Spur fracture zone in the western North Atlantic. We use the genetic algorithm as an optimization method in our inversion scheme. The genetic algorithm requires a forward modelling tool, for which we use kinematic ray tracing when traveltimes are required, and Chapman's (WKBJ seismogram) method when waveforms are needed. We optimize the seismic problem by first making a traveltime fit with velocity functions consisting of linear velocity gradients: these calculations are fast. Subsequently, we fit waveforms using B-splines for the velocity function. The splines give more consistent synthetic seismograms than linear velocity gradients because caustics caused by the model discretization do not introduce amplitude distortions, so we remain within the region of validity of asymptotic theory. We introduce a stopping criterion for genetic algorithms similar to the one used in crude Monte Carlo methods. Finally, we illustrate the whole procedure by applying the method to P - and S -wave refraction data, and compare the results of automatic inversion for the velocity-depth structure with results from trial-and-error forward modelling.
format Text
author Drijkoningen, Guy G.
White, Robert S.
author_facet Drijkoningen, Guy G.
White, Robert S.
author_sort Drijkoningen, Guy G.
title Seismic velocity structure of oceanic crust by inversion using genetic algorithms
title_short Seismic velocity structure of oceanic crust by inversion using genetic algorithms
title_full Seismic velocity structure of oceanic crust by inversion using genetic algorithms
title_fullStr Seismic velocity structure of oceanic crust by inversion using genetic algorithms
title_full_unstemmed Seismic velocity structure of oceanic crust by inversion using genetic algorithms
title_sort seismic velocity structure of oceanic crust by inversion using genetic algorithms
publisher Oxford University Press
publishDate 1995
url http://gji.oxfordjournals.org/cgi/content/short/123/3/653
https://doi.org/10.1111/j.1365-246X.1995.tb06881.x
genre North Atlantic
genre_facet North Atlantic
op_relation http://gji.oxfordjournals.org/cgi/content/short/123/3/653
http://dx.doi.org/10.1111/j.1365-246X.1995.tb06881.x
op_rights Copyright (C) 1995, Oxford University Press
op_doi https://doi.org/10.1111/j.1365-246X.1995.tb06881.x
container_title Geophysical Journal International
container_volume 123
container_issue 3
container_start_page 653
op_container_end_page 664
_version_ 1766131579184218112