KFUPM-KAUST Red Sea model: Digital viscoelastic depth model and synthetic seismic data set

Abdullatif A. Al-Shuhail; Wail A. Mousa; Tariq Alkhalifah

doi:10.1190/tle36060507.1

KFUPM-KAUST Red Sea model: Digital viscoelastic depth model and synthetic seismic data set

Abdullatif A. Al-Shuhail^*
, Wail A. Mousa
, Tariq Alkhalifah

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The Red Sea is geologically interesting due to its unique structures and abundant mineral and petroleum resources, yet no digital geologic models or synthetic seismic data of the Red Sea are publicly available for testing algorithms to image and analyze the area's interesting features. This study compiles a 2D viscoelastic model of the Red Sea and calculates a corresponding multicomponent synthetic seismic data set. The models and data sets are made publicly available for download. We hope this effort will encourage interested researchers to test their processing algorithms on this data set and model and share their results publicly as well..

Original language	English
Pages (from-to)	507-511
Number of pages	5
Journal	Leading Edge
Volume	36
Issue number	6
DOIs	https://doi.org/10.1190/tle36060507.1
State	Published - 1 Jun 2017

Bibliographical note

Funding Information:
We wish to thank King Abdullah University of Science and Technology (KAUST) for supporting this research under grant number EE002356. A.A. and W.M. thank King Fahd University of Petroleum and Minerals (KFUPM) for its continuous support.

ASJC Scopus subject areas

Geophysics
Geology

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abstract = "The Red Sea is geologically interesting due to its unique structures and abundant mineral and petroleum resources, yet no digital geologic models or synthetic seismic data of the Red Sea are publicly available for testing algorithms to image and analyze the area's interesting features. This study compiles a 2D viscoelastic model of the Red Sea and calculates a corresponding multicomponent synthetic seismic data set. The models and data sets are made publicly available for download. We hope this effort will encourage interested researchers to test their processing algorithms on this data set and model and share their results publicly as well..",

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note = "Funding Information: We wish to thank King Abdullah University of Science and Technology (KAUST) for supporting this research under grant number EE002356. A.A. and W.M. thank King Fahd University of Petroleum and Minerals (KFUPM) for its continuous support.",

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doi = "10.1190/tle36060507.1",

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AU - Al-Shuhail, Abdullatif A.

AU - Mousa, Wail A.

AU - Alkhalifah, Tariq

N1 - Funding Information: We wish to thank King Abdullah University of Science and Technology (KAUST) for supporting this research under grant number EE002356. A.A. and W.M. thank King Fahd University of Petroleum and Minerals (KFUPM) for its continuous support.

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Y1 - 2017/6/1

N2 - The Red Sea is geologically interesting due to its unique structures and abundant mineral and petroleum resources, yet no digital geologic models or synthetic seismic data of the Red Sea are publicly available for testing algorithms to image and analyze the area's interesting features. This study compiles a 2D viscoelastic model of the Red Sea and calculates a corresponding multicomponent synthetic seismic data set. The models and data sets are made publicly available for download. We hope this effort will encourage interested researchers to test their processing algorithms on this data set and model and share their results publicly as well..

AB - The Red Sea is geologically interesting due to its unique structures and abundant mineral and petroleum resources, yet no digital geologic models or synthetic seismic data of the Red Sea are publicly available for testing algorithms to image and analyze the area's interesting features. This study compiles a 2D viscoelastic model of the Red Sea and calculates a corresponding multicomponent synthetic seismic data set. The models and data sets are made publicly available for download. We hope this effort will encourage interested researchers to test their processing algorithms on this data set and model and share their results publicly as well..

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DO - 10.1190/tle36060507.1

M3 - Article

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JO - Leading Edge

JF - Leading Edge

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ER -

KFUPM-KAUST Red Sea model: Digital viscoelastic depth model and synthetic seismic data set

Abstract

Bibliographical note

ASJC Scopus subject areas

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