Evidence map›Paper›PMID 32742006›Full record

ArticleGeophysical prospecting2020

Data-driven retrieval of primary plane-wave responses.

Giovanni Angelo Meles, Lele Zhang, Jan Thorbecke, Kees Wapenaar, Evert Slob

Abstract read
In one paragraph

Article in Geophysical prospecting, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Giovanni Angelo MelesDepartment of Geoscience and Engineering Delft University of Technology Stevinweg 1, 2628 CN Delft The Netherlands.ORCID https://orcid.org/0000-0002-2960-9587
Lele ZhangDepartment of Geoscience and Engineering Delft University of Technology Stevinweg 1, 2628 CN Delft The Netherlands.
Jan ThorbeckeDepartment of Geoscience and Engineering Delft University of Technology Stevinweg 1, 2628 CN Delft The Netherlands.
Kees WapenaarDepartment of Geoscience and Engineering Delft University of Technology Stevinweg 1, 2628 CN Delft The Netherlands.ORCID https://orcid.org/0000-0002-1620-8282
Evert SlobDepartment of Geoscience and Engineering Delft University of Technology Stevinweg 1, 2628 CN Delft The Netherlands.ORCID https://orcid.org/0000-0002-4529-1134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seismic images provided by reverse time migration can be contaminated by artefacts associated with the migration of multiples. Multiples can corrupt seismic images, producing both false positives, that is by focusing energy at unphysical interfaces, and false negatives, that is by destructively interfering with primaries. Multiple prediction/primary synthesis methods are usually designed to operate on point source gathers and can therefore be computationally demanding when large problems are considered. A computationally attractive scheme that operates on plane-wave datasets is derived by adapting a data-driven point source gathers method, based on convolutions and cross-correlations of the reflection response with itself, to include plane-wave concepts. As a result, the presented algorithm allows fully data-driven synthesis of primary reflections associated with plane-wave source responses. Once primary plane-wave responses are estimated, they are used for multiple-free imaging via plane-wave reverse time migration. Numerical tests of increasing complexity demonstrate the potential of the proposed algorithm to produce multiple-free images from only a small number of plane-wave datasets.

Indexed as

Multiple attenuationReverse‐time migrationSeismic imaging

Identifiers

PMID32742006
PMCPMC7386921

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.