Optimal vector-acoustic imaging: Theory and application of reverse time migration

N. El Yadari; Y. Kamil; M. Ravasi

Optimal vector-acoustic imaging: Theory and application of reverse time migration

N. El Yadari, Y. Kamil, M. Ravasi

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

Abstract

We generalize the vector-acoustic imaging methods to minimize the impact of the noise when processing the multi-measurement marine seismic data. We also study the special case of single measurement optimal acoustic imaging, while taking into account the statistics of the noise. After describing the theory of our approach, we apply it to realistic synthetic multisensor data (North Sea) using a research prototype of reverse time migration (RTM) in which realistic noise was added to the data. Numerical examples demonstrate the efficacy of our proposed approach and show the benefit of multisensor imaging in terms of residual deghosting, denoising, and migration swings removal.

Original language	English (US)
Title of host publication	81st EAGE Conference and Exhibition 2019
Publisher	EAGE Publishing [email protected]
ISBN (Print)	9789462822894
State	Published - Jun 3 2019
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-13

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Optimal vector-acoustic imaging: Theory and application of reverse time migration",

abstract = "We generalize the vector-acoustic imaging methods to minimize the impact of the noise when processing the multi-measurement marine seismic data. We also study the special case of single measurement optimal acoustic imaging, while taking into account the statistics of the noise. After describing the theory of our approach, we apply it to realistic synthetic multisensor data (North Sea) using a research prototype of reverse time migration (RTM) in which realistic noise was added to the data. Numerical examples demonstrate the efficacy of our proposed approach and show the benefit of multisensor imaging in terms of residual deghosting, denoising, and migration swings removal.",

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N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13

PY - 2019/6/3

Y1 - 2019/6/3

N2 - We generalize the vector-acoustic imaging methods to minimize the impact of the noise when processing the multi-measurement marine seismic data. We also study the special case of single measurement optimal acoustic imaging, while taking into account the statistics of the noise. After describing the theory of our approach, we apply it to realistic synthetic multisensor data (North Sea) using a research prototype of reverse time migration (RTM) in which realistic noise was added to the data. Numerical examples demonstrate the efficacy of our proposed approach and show the benefit of multisensor imaging in terms of residual deghosting, denoising, and migration swings removal.

AB - We generalize the vector-acoustic imaging methods to minimize the impact of the noise when processing the multi-measurement marine seismic data. We also study the special case of single measurement optimal acoustic imaging, while taking into account the statistics of the noise. After describing the theory of our approach, we apply it to realistic synthetic multisensor data (North Sea) using a research prototype of reverse time migration (RTM) in which realistic noise was added to the data. Numerical examples demonstrate the efficacy of our proposed approach and show the benefit of multisensor imaging in terms of residual deghosting, denoising, and migration swings removal.

UR - http://www.scopus.com/inward/record.url?scp=85084024412&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9789462822894

BT - 81st EAGE Conference and Exhibition 2019

PB - EAGE Publishing [email protected]

ER -

Optimal vector-acoustic imaging: Theory and application of reverse time migration

Abstract

Bibliographical note

UN SDGs

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