Enhancing the accuracy of DBSCAN's first arrival traveltime picking using super-virtual refraction interferometry

Muhammad Awais; Sherif M. Hanafy

doi:10.1190/image2022-3746823.1

Enhancing the accuracy of DBSCAN's first arrival traveltime picking using super-virtual refraction interferometry

Muhammad Awais^*
, Sherif M. Hanafy

^*Corresponding author for this work

Department of Geosciences

Research output: Contribution to journal › Conference article › peer-review

Abstract

The density-based spatial clustering application with noise (DBSCAN) along with the super-virtual refraction interferometry (SVI) are used to pick the first arrivals' traveltimes. DBSCAN alone suffers if the signal-to-noise ratio (SNR) of the data is poor. To overcome this drawback, SVI is used to enhance the SNR, and then DBSCAN is re-applied. We first use DBSCAN to define an initial muting window for the SVI, then, SVI is used to enhance the SNR of the first arrivals, and finally, we reapply DBSCAN to pick the final first arrivals' traveltimes. We showed the result using a synthetic example.

Original language	English
Pages (from-to)	1915-1919
Number of pages	5
Journal	SEG Technical Program Expanded Abstracts
Volume	2022-August
DOIs	https://doi.org/10.1190/image2022-3746823.1
State	Published - 15 Aug 2022
Event	2nd International Meeting for Applied Geoscience and Energy, IMAGE 2022 - Houston, United States Duration: 28 Aug 2022 → 1 Sep 2022

Bibliographical note

Publisher Copyright:
© 2022 Society of Exploration Geophysicists and the American Association of Petroleum Geologists.

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Geophysics

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10.1190/image2022-3746823.1

Cite this

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title = "Enhancing the accuracy of DBSCAN's first arrival traveltime picking using super-virtual refraction interferometry",

abstract = "The density-based spatial clustering application with noise (DBSCAN) along with the super-virtual refraction interferometry (SVI) are used to pick the first arrivals' traveltimes. DBSCAN alone suffers if the signal-to-noise ratio (SNR) of the data is poor. To overcome this drawback, SVI is used to enhance the SNR, and then DBSCAN is re-applied. We first use DBSCAN to define an initial muting window for the SVI, then, SVI is used to enhance the SNR of the first arrivals, and finally, we reapply DBSCAN to pick the final first arrivals' traveltimes. We showed the result using a synthetic example.",

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AU - Awais, Muhammad

AU - Hanafy, Sherif M.

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N2 - The density-based spatial clustering application with noise (DBSCAN) along with the super-virtual refraction interferometry (SVI) are used to pick the first arrivals' traveltimes. DBSCAN alone suffers if the signal-to-noise ratio (SNR) of the data is poor. To overcome this drawback, SVI is used to enhance the SNR, and then DBSCAN is re-applied. We first use DBSCAN to define an initial muting window for the SVI, then, SVI is used to enhance the SNR of the first arrivals, and finally, we reapply DBSCAN to pick the final first arrivals' traveltimes. We showed the result using a synthetic example.

AB - The density-based spatial clustering application with noise (DBSCAN) along with the super-virtual refraction interferometry (SVI) are used to pick the first arrivals' traveltimes. DBSCAN alone suffers if the signal-to-noise ratio (SNR) of the data is poor. To overcome this drawback, SVI is used to enhance the SNR, and then DBSCAN is re-applied. We first use DBSCAN to define an initial muting window for the SVI, then, SVI is used to enhance the SNR of the first arrivals, and finally, we reapply DBSCAN to pick the final first arrivals' traveltimes. We showed the result using a synthetic example.

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DO - 10.1190/image2022-3746823.1

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VL - 2022-August

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EP - 1919

JO - SEG Technical Program Expanded Abstracts

JF - SEG Technical Program Expanded Abstracts

T2 - 2nd International Meeting for Applied Geoscience and Energy, IMAGE 2022

Y2 - 28 August 2022 through 1 September 2022

ER -

Enhancing the accuracy of DBSCAN's first arrival traveltime picking using super-virtual refraction interferometry

Abstract

Bibliographical note

ASJC Scopus subject areas

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