Applying source-receiver Marchenko redatuming to field data, using an adaptive double-focusing method

Myrna Staring; Roberto Pereira; Huub Douma; Joost van der Neut; Kees Wapenaar

Applying source-receiver Marchenko redatuming to field data, using an adaptive double-focusing method

Myrna Staring, Roberto Pereira, Huub Douma, Joost van der Neut, Kees Wapenaar

Applied Geophysics and Petrophysics

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Abstract

In this paper, we focus on the field data application of source-receiver Marchenko redatuming. Conventionally, a source-receiver redatumed reflection response is obtained by first applying the Marchenko method for receiver-redatuming and then performing a multi-dimensional deconvolution (MDD) for sourceredatuming (Wapenaar et al. (2014)). The obtained reflection response is free from any interactions with the overburden. However, the MDD solves an ill-posed inverse problem (van der Neut et al. (2011a)), which makes it sensitive to imperfections in the data and the acquisition geometry. This is a problem for the field data application, since neither the data nor the acquisition geometry are ever perfect. In addition, MDD is computationally expensive.

Original language	English
Number of pages	2
Publication status	Published - 2017
Event	SIAM Houston Imaging Sciences Symposium - Houston, United States Duration: 2 Oct 2017 → 3 Oct 2017 https://www.uh.edu/nsm/math/seminars-and-events/Houston%20Imaging%20Sciences%20Symposium/

Conference

Conference	SIAM Houston Imaging Sciences Symposium
Country/Territory	United States
City	Houston
Period	2/10/17 → 3/10/17
Internet address	https://www.uh.edu/nsm/math/seminars-and-events/Houston%20Imaging%20Sciences%20Symposium/

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title = "Applying source-receiver Marchenko redatuming to field data, using an adaptive double-focusing method",

abstract = "In this paper, we focus on the field data application of source-receiver Marchenko redatuming. Conventionally, a source-receiver redatumed reflection response is obtained by first applying the Marchenko method for receiver-redatuming and then performing a multi-dimensional deconvolution (MDD) for sourceredatuming (Wapenaar et al. (2014)). The obtained reflection response is free from any interactions with the overburden. However, the MDD solves an ill-posed inverse problem (van der Neut et al. (2011a)), which makes it sensitive to imperfections in the data and the acquisition geometry. This is a problem for the field data application, since neither the data nor the acquisition geometry are ever perfect. In addition, MDD is computationally expensive.",

author = "Myrna Staring and Roberto Pereira and Huub Douma and {van der Neut}, Joost and Kees Wapenaar",

year = "2017",

language = "English",

note = "SIAM Houston Imaging Sciences Symposium ; Conference date: 02-10-2017 Through 03-10-2017",

url = "https://www.uh.edu/nsm/math/seminars-and-events/Houston%20Imaging%20Sciences%20Symposium/",

}

TY - CONF

T1 - Applying source-receiver Marchenko redatuming to field data, using an adaptive double-focusing method

AU - Staring, Myrna

AU - Pereira, Roberto

AU - Douma, Huub

AU - van der Neut, Joost

AU - Wapenaar, Kees

PY - 2017

Y1 - 2017

N2 - In this paper, we focus on the field data application of source-receiver Marchenko redatuming. Conventionally, a source-receiver redatumed reflection response is obtained by first applying the Marchenko method for receiver-redatuming and then performing a multi-dimensional deconvolution (MDD) for sourceredatuming (Wapenaar et al. (2014)). The obtained reflection response is free from any interactions with the overburden. However, the MDD solves an ill-posed inverse problem (van der Neut et al. (2011a)), which makes it sensitive to imperfections in the data and the acquisition geometry. This is a problem for the field data application, since neither the data nor the acquisition geometry are ever perfect. In addition, MDD is computationally expensive.

AB - In this paper, we focus on the field data application of source-receiver Marchenko redatuming. Conventionally, a source-receiver redatumed reflection response is obtained by first applying the Marchenko method for receiver-redatuming and then performing a multi-dimensional deconvolution (MDD) for sourceredatuming (Wapenaar et al. (2014)). The obtained reflection response is free from any interactions with the overburden. However, the MDD solves an ill-posed inverse problem (van der Neut et al. (2011a)), which makes it sensitive to imperfections in the data and the acquisition geometry. This is a problem for the field data application, since neither the data nor the acquisition geometry are ever perfect. In addition, MDD is computationally expensive.

UR - https://www.uh.edu/nsm/math/seminars-and-events/Houston%20Imaging%20Sciences%20Symposium/

M3 - Abstract

T2 - SIAM Houston Imaging Sciences Symposium

Y2 - 2 October 2017 through 3 October 2017

ER -

Applying source-receiver Marchenko redatuming to field data, using an adaptive double-focusing method

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