Automatic extraction of dislocated horizons from 3D seismic data using nonlocal trace matching
Extracting key horizons from seismic images is an important element of the seismic interpretation workflow. Although numerous computer-assisted horizon extraction methods exist, they are typically sensitive to structural and stratigraphic discontinuities. As a result, these computer-assisted methods...
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Society of Exploration Geophysicists
2019
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ftunswworks:oai:unsworks.library.unsw.edu.au:1959.4/unsworks_64510 2024-05-19T07:38:09+00:00 Automatic extraction of dislocated horizons from 3D seismic data using nonlocal trace matching Bugge, AJ Erik Lie, J Evensen, AK Faleide, JI Clark, S 2019-11-01 application/pdf http://hdl.handle.net/1959.4/unsworks_64510 https://unsworks.unsw.edu.au/bitstreams/352109aa-26f2-4f07-9967-95f6e4355a86/download https://doi.org/10.1190/geo2019-0029.1 unknown Society of Exploration Geophysicists http://purl.org/au-research/grants/arc/LP190100176 http://hdl.handle.net/1959.4/unsworks_64510 https://unsworks.unsw.edu.au/bitstreams/352109aa-26f2-4f07-9967-95f6e4355a86/download https://doi.org/10.1190/geo2019-0029.1 open access https://purl.org/coar/access_right/c_abf2 CC-BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/ free_to_read urn:ISSN:0016-8033 urn:ISSN:1942-2156 Geophysics, 84, 6, IM77-IM86 anzsrc-for: 0404 Geophysics journal article http://purl.org/coar/resource_type/c_6501 2019 ftunswworks https://doi.org/10.1190/geo2019-0029.1 2024-04-24T00:24:00Z Extracting key horizons from seismic images is an important element of the seismic interpretation workflow. Although numerous computer-assisted horizon extraction methods exist, they are typically sensitive to structural and stratigraphic discontinuities. As a result, these computer-assisted methods have difficulties in extracting noncoherent dislocated horizons. We have developed a new data-driven method to correlate, track, and extract horizons from seismic volumes with complex geologic structures. Our method correlates seismic horizons across discontinuities and does not require user input in the form of seed points or prior identification of faults. Furthermore, the method is robust toward amplitude changes along a seismic horizon and does not jump from peak to trough or vice versa. We use a large sliding window and match full-length seismic traces using nonlocal dynamic time warping to extract grids of correlated points for our target horizons. Through computed accuracy measurements, we discard nonaccurate correlations before interpolating complete seismic horizons. Because our method does not require manually picked seed points or prior structural restoration, it does not rely on interpretive experience or geologic knowledge. The proposed method is applied on different real and complex seismic images, with two case examples from the southwestern Barents Sea, and one on the open source Netherlands F3 seismic data. Article in Journal/Newspaper Barents Sea UNSW Sydney (The University of New South Wales): UNSWorks GEOPHYSICS 84 6 IM77 IM86 |
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UNSW Sydney (The University of New South Wales): UNSWorks |
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topic |
anzsrc-for: 0404 Geophysics |
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anzsrc-for: 0404 Geophysics Bugge, AJ Erik Lie, J Evensen, AK Faleide, JI Clark, S Automatic extraction of dislocated horizons from 3D seismic data using nonlocal trace matching |
topic_facet |
anzsrc-for: 0404 Geophysics |
description |
Extracting key horizons from seismic images is an important element of the seismic interpretation workflow. Although numerous computer-assisted horizon extraction methods exist, they are typically sensitive to structural and stratigraphic discontinuities. As a result, these computer-assisted methods have difficulties in extracting noncoherent dislocated horizons. We have developed a new data-driven method to correlate, track, and extract horizons from seismic volumes with complex geologic structures. Our method correlates seismic horizons across discontinuities and does not require user input in the form of seed points or prior identification of faults. Furthermore, the method is robust toward amplitude changes along a seismic horizon and does not jump from peak to trough or vice versa. We use a large sliding window and match full-length seismic traces using nonlocal dynamic time warping to extract grids of correlated points for our target horizons. Through computed accuracy measurements, we discard nonaccurate correlations before interpolating complete seismic horizons. Because our method does not require manually picked seed points or prior structural restoration, it does not rely on interpretive experience or geologic knowledge. The proposed method is applied on different real and complex seismic images, with two case examples from the southwestern Barents Sea, and one on the open source Netherlands F3 seismic data. |
format |
Article in Journal/Newspaper |
author |
Bugge, AJ Erik Lie, J Evensen, AK Faleide, JI Clark, S |
author_facet |
Bugge, AJ Erik Lie, J Evensen, AK Faleide, JI Clark, S |
author_sort |
Bugge, AJ |
title |
Automatic extraction of dislocated horizons from 3D seismic data using nonlocal trace matching |
title_short |
Automatic extraction of dislocated horizons from 3D seismic data using nonlocal trace matching |
title_full |
Automatic extraction of dislocated horizons from 3D seismic data using nonlocal trace matching |
title_fullStr |
Automatic extraction of dislocated horizons from 3D seismic data using nonlocal trace matching |
title_full_unstemmed |
Automatic extraction of dislocated horizons from 3D seismic data using nonlocal trace matching |
title_sort |
automatic extraction of dislocated horizons from 3d seismic data using nonlocal trace matching |
publisher |
Society of Exploration Geophysicists |
publishDate |
2019 |
url |
http://hdl.handle.net/1959.4/unsworks_64510 https://unsworks.unsw.edu.au/bitstreams/352109aa-26f2-4f07-9967-95f6e4355a86/download https://doi.org/10.1190/geo2019-0029.1 |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_source |
urn:ISSN:0016-8033 urn:ISSN:1942-2156 Geophysics, 84, 6, IM77-IM86 |
op_relation |
http://purl.org/au-research/grants/arc/LP190100176 http://hdl.handle.net/1959.4/unsworks_64510 https://unsworks.unsw.edu.au/bitstreams/352109aa-26f2-4f07-9967-95f6e4355a86/download https://doi.org/10.1190/geo2019-0029.1 |
op_rights |
open access https://purl.org/coar/access_right/c_abf2 CC-BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/ free_to_read |
op_doi |
https://doi.org/10.1190/geo2019-0029.1 |
container_title |
GEOPHYSICS |
container_volume |
84 |
container_issue |
6 |
container_start_page |
IM77 |
op_container_end_page |
IM86 |
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1799477567117328384 |