Standard

3D diffraction imaging of fault and fracture zones via image spectral decomposition of partial images. / Protasov, M. I.; Gadylshin, K. G.; Tcheverda, V. A. et al.

In: Geophysical Prospecting, Vol. 67, No. 5, 01.06.2019, p. 1256-1270.

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

Harvard

Protasov, MI, Gadylshin, KG, Tcheverda, VA & Pravduhin, AP 2019, '3D diffraction imaging of fault and fracture zones via image spectral decomposition of partial images', Geophysical Prospecting, vol. 67, no. 5, pp. 1256-1270. https://doi.org/10.1111/1365-2478.12772

APA

Protasov, M. I., Gadylshin, K. G., Tcheverda, V. A., & Pravduhin, A. P. (2019). 3D diffraction imaging of fault and fracture zones via image spectral decomposition of partial images. Geophysical Prospecting, 67(5), 1256-1270. https://doi.org/10.1111/1365-2478.12772

Vancouver

Protasov MI, Gadylshin KG, Tcheverda VA, Pravduhin AP. 3D diffraction imaging of fault and fracture zones via image spectral decomposition of partial images. Geophysical Prospecting. 2019 Jun 1;67(5):1256-1270. doi: 10.1111/1365-2478.12772

Author

Protasov, M. I. ; Gadylshin, K. G. ; Tcheverda, V. A. et al. / 3D diffraction imaging of fault and fracture zones via image spectral decomposition of partial images. In: Geophysical Prospecting. 2019 ; Vol. 67, No. 5. pp. 1256-1270.

BibTeX

@article{b6e3ff0777bc4ca6888ef68192e83395,
title = "3D diffraction imaging of fault and fracture zones via image spectral decomposition of partial images",
abstract = "The paper presents 3D diffraction imaging based on the spectral decomposition of a different combination of selective or partial images. These images are obtained by the pre-stack asymmetric migration procedure, which is weighted data summation. Spectral decomposition is done in the Fourier domain with respect to spatial dip and azimuth angles. Numerical examples with the application of different workflows for the synthetic and real data examples demonstrate detailed reliable reconstruction of the fractured zones and reliable reconstruction of fracture orientation on synthetic and real 3D data examples.",
keywords = "3D, Diffractions, Seismic imaging",
author = "Protasov, {M. I.} and Gadylshin, {K. G.} and Tcheverda, {V. A.} and Pravduhin, {A. P.}",
note = "Publisher Copyright: {\textcopyright} 2019 European Association of Geoscientists & Engineers",
year = "2019",
month = jun,
day = "1",
doi = "10.1111/1365-2478.12772",
language = "English",
volume = "67",
pages = "1256--1270",
journal = "Geophysical Prospecting",
issn = "0016-8025",
publisher = "Wiley-Blackwell",
number = "5",

}

RIS

TY - JOUR

T1 - 3D diffraction imaging of fault and fracture zones via image spectral decomposition of partial images

AU - Protasov, M. I.

AU - Gadylshin, K. G.

AU - Tcheverda, V. A.

AU - Pravduhin, A. P.

N1 - Publisher Copyright: © 2019 European Association of Geoscientists & Engineers

PY - 2019/6/1

Y1 - 2019/6/1

N2 - The paper presents 3D diffraction imaging based on the spectral decomposition of a different combination of selective or partial images. These images are obtained by the pre-stack asymmetric migration procedure, which is weighted data summation. Spectral decomposition is done in the Fourier domain with respect to spatial dip and azimuth angles. Numerical examples with the application of different workflows for the synthetic and real data examples demonstrate detailed reliable reconstruction of the fractured zones and reliable reconstruction of fracture orientation on synthetic and real 3D data examples.

AB - The paper presents 3D diffraction imaging based on the spectral decomposition of a different combination of selective or partial images. These images are obtained by the pre-stack asymmetric migration procedure, which is weighted data summation. Spectral decomposition is done in the Fourier domain with respect to spatial dip and azimuth angles. Numerical examples with the application of different workflows for the synthetic and real data examples demonstrate detailed reliable reconstruction of the fractured zones and reliable reconstruction of fracture orientation on synthetic and real 3D data examples.

KW - 3D

KW - Diffractions

KW - Seismic imaging

UR - http://www.scopus.com/inward/record.url?scp=85062568822&partnerID=8YFLogxK

U2 - 10.1111/1365-2478.12772

DO - 10.1111/1365-2478.12772

M3 - Article

AN - SCOPUS:85062568822

VL - 67

SP - 1256

EP - 1270

JO - Geophysical Prospecting

JF - Geophysical Prospecting

SN - 0016-8025

IS - 5

ER -

ID: 18817359