Efficient Implementation of Reverse Time Migration Seismic Imaging on FPGAs

Alhussain Ibrahim; Abdullah Alsultan; Muhammad Elrabaa; Aiman El-Maleh; Thierry Tonellot

doi:10.2118/213299-MS

Efficient Implementation of Reverse Time Migration Seismic Imaging on FPGAs

Alhussain Ibrahim, Abdullah Alsultan, Muhammad Elrabaa, Aiman El-Maleh, Thierry Tonellot

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This work presents an alternative computing platform, Field Programmable Gate Arrays (FPGAs), for one of the widely used applications in the oil and gas industry; seismic imaging using reverse time migration (RTM). As with many of the oil and gas applications, RTM involves many computations performed repeatedly over extremely large number of data points. Conventionally, such computations were implemented as a sequence of temoral steps and parallelized using multi-core CPUs or GPUs at various levels of abstractions (task, thread, and instruction-levels). With FPGAs, computations can be parallelized and implemented as spatially separated steps (i.e. the computing fabric can be configured to carry out all the computations, side-bu-side rather than as temoral steps). In this work, we illustrate the spatial computing capabilities of FPGAs using RTM. Two different implementations with different types of optimizations were developed. Performance optimizations and measurements based on experimental test bed are reported.

Original language	English
Title of host publication	Society of Petroleum Engineers - Middle East Oil, Gas and Geosciences Show, MEOS 2023
Publisher	Society of Petroleum Engineers (SPE)
ISBN (Electronic)	9781613999806
DOIs	https://doi.org/10.2118/213299-MS
State	Published - 2023
Event	2023 Middle East Oil, Gas and Geosciences Show, MEOS 2023 - Manama, Bahrain Duration: 19 Feb 2023 → 21 Feb 2023

Publication series

Name	SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings

Conference

Conference	2023 Middle East Oil, Gas and Geosciences Show, MEOS 2023
Country/Territory	Bahrain
City	Manama
Period	19/02/23 → 21/02/23

Bibliographical note

Funding Information:
This work has been supported through a research contract from Saudi Aramco. Authors also acknowledge King Fahd University of Petroleum and Minerals facility support.

Publisher Copyright:
Copyright © 2023, Society of Petroleum Engineers.

ASJC Scopus subject areas

Energy Engineering and Power Technology
Fuel Technology

Access to Document

10.2118/213299-MS

Cite this

Ibrahim, A., Alsultan, A., Elrabaa, M., El-Maleh, A., & Tonellot, T. (2023). Efficient Implementation of Reverse Time Migration Seismic Imaging on FPGAs. In Society of Petroleum Engineers - Middle East Oil, Gas and Geosciences Show, MEOS 2023 (SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings). Society of Petroleum Engineers (SPE). https://doi.org/10.2118/213299-MS

@inproceedings{eed91f1f2ec3466ea47f55f340117e5c,

title = "Efficient Implementation of Reverse Time Migration Seismic Imaging on FPGAs",

abstract = "This work presents an alternative computing platform, Field Programmable Gate Arrays (FPGAs), for one of the widely used applications in the oil and gas industry; seismic imaging using reverse time migration (RTM). As with many of the oil and gas applications, RTM involves many computations performed repeatedly over extremely large number of data points. Conventionally, such computations were implemented as a sequence of temoral steps and parallelized using multi-core CPUs or GPUs at various levels of abstractions (task, thread, and instruction-levels). With FPGAs, computations can be parallelized and implemented as spatially separated steps (i.e. the computing fabric can be configured to carry out all the computations, side-bu-side rather than as temoral steps). In this work, we illustrate the spatial computing capabilities of FPGAs using RTM. Two different implementations with different types of optimizations were developed. Performance optimizations and measurements based on experimental test bed are reported.",

author = "Alhussain Ibrahim and Abdullah Alsultan and Muhammad Elrabaa and Aiman El-Maleh and Thierry Tonellot",

note = "Funding Information: This work has been supported through a research contract from Saudi Aramco. Authors also acknowledge King Fahd University of Petroleum and Minerals facility support. Publisher Copyright: Copyright {\textcopyright} 2023, Society of Petroleum Engineers.; 2023 Middle East Oil, Gas and Geosciences Show, MEOS 2023 ; Conference date: 19-02-2023 Through 21-02-2023",

year = "2023",

doi = "10.2118/213299-MS",

language = "English",

series = "SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings",

publisher = "Society of Petroleum Engineers (SPE)",

booktitle = "Society of Petroleum Engineers - Middle East Oil, Gas and Geosciences Show, MEOS 2023",

address = "United States",

}

Ibrahim, A, Alsultan, A, Elrabaa, M , El-Maleh, A & Tonellot, T 2023, Efficient Implementation of Reverse Time Migration Seismic Imaging on FPGAs. in Society of Petroleum Engineers - Middle East Oil, Gas and Geosciences Show, MEOS 2023. SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings, Society of Petroleum Engineers (SPE), 2023 Middle East Oil, Gas and Geosciences Show, MEOS 2023, Manama, Bahrain, 19/02/23. https://doi.org/10.2118/213299-MS

Efficient Implementation of Reverse Time Migration Seismic Imaging on FPGAs. / Ibrahim, Alhussain; Alsultan, Abdullah; Elrabaa, Muhammad et al.
Society of Petroleum Engineers - Middle East Oil, Gas and Geosciences Show, MEOS 2023. Society of Petroleum Engineers (SPE), 2023. (SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Efficient Implementation of Reverse Time Migration Seismic Imaging on FPGAs

AU - Ibrahim, Alhussain

AU - Alsultan, Abdullah

AU - Elrabaa, Muhammad

AU - El-Maleh, Aiman

AU - Tonellot, Thierry

N1 - Funding Information: This work has been supported through a research contract from Saudi Aramco. Authors also acknowledge King Fahd University of Petroleum and Minerals facility support. Publisher Copyright: Copyright © 2023, Society of Petroleum Engineers.

PY - 2023

Y1 - 2023

N2 - This work presents an alternative computing platform, Field Programmable Gate Arrays (FPGAs), for one of the widely used applications in the oil and gas industry; seismic imaging using reverse time migration (RTM). As with many of the oil and gas applications, RTM involves many computations performed repeatedly over extremely large number of data points. Conventionally, such computations were implemented as a sequence of temoral steps and parallelized using multi-core CPUs or GPUs at various levels of abstractions (task, thread, and instruction-levels). With FPGAs, computations can be parallelized and implemented as spatially separated steps (i.e. the computing fabric can be configured to carry out all the computations, side-bu-side rather than as temoral steps). In this work, we illustrate the spatial computing capabilities of FPGAs using RTM. Two different implementations with different types of optimizations were developed. Performance optimizations and measurements based on experimental test bed are reported.

AB - This work presents an alternative computing platform, Field Programmable Gate Arrays (FPGAs), for one of the widely used applications in the oil and gas industry; seismic imaging using reverse time migration (RTM). As with many of the oil and gas applications, RTM involves many computations performed repeatedly over extremely large number of data points. Conventionally, such computations were implemented as a sequence of temoral steps and parallelized using multi-core CPUs or GPUs at various levels of abstractions (task, thread, and instruction-levels). With FPGAs, computations can be parallelized and implemented as spatially separated steps (i.e. the computing fabric can be configured to carry out all the computations, side-bu-side rather than as temoral steps). In this work, we illustrate the spatial computing capabilities of FPGAs using RTM. Two different implementations with different types of optimizations were developed. Performance optimizations and measurements based on experimental test bed are reported.

UR - http://www.scopus.com/inward/record.url?scp=85151399101&partnerID=8YFLogxK

U2 - 10.2118/213299-MS

DO - 10.2118/213299-MS

M3 - Conference contribution

AN - SCOPUS:85151399101

T3 - SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings

BT - Society of Petroleum Engineers - Middle East Oil, Gas and Geosciences Show, MEOS 2023

PB - Society of Petroleum Engineers (SPE)

T2 - 2023 Middle East Oil, Gas and Geosciences Show, MEOS 2023

Y2 - 19 February 2023 through 21 February 2023

ER -

Efficient Implementation of Reverse Time Migration Seismic Imaging on FPGAs

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this