Analysis of Factors Affecting Residual Moveout Picking and Solutions

Hui Zhang

doi:doi:10.11648/j.ogce.20180606.14

| Peer-Reviewed |

Analysis of Factors Affecting Residual Moveout Picking and Solutions

Hui Zhang

Received: 10 September 2018 Accepted: 21 September 2018 Published: 23 October 2018

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Reflection tomography on the base of common image gathers (CIGs) in offset domain or angle domain is the powerful and mostly used tool for velocity inversion. There are many factors that affect the accuracy and resolution of reflection tomography, in which RMO picking is a quite important one that can’t be ignored. Residual moveout Auto Picking on common image gathers is the most important step in tomography velocity inversion, the reliability of residual moveout picking decides the accuracy of tomography velocity inversion. Based on a case study of field data, the paper give a full discussions and experiences analysis of factors such as grid step, input data quality, geological structure, picking parameter, which affect residual moveout picking greatly. Furthermore, the paper also put forward corresponding suggestions and solutions to reduce or eliminate the impact of these factors on residual moveout picking. At last we implement a structure controlled residual moveout picking method with horizon constraint to a field data residual moveout picking. The proposed picking method refines the global picking though utilizing horizon constraint in vertical orientation and structure subdividing in lateral orientation. It effectively improves residual moveout quality and enhances inversion reliability, and also helps tomography inversion to update a velocity model with high resolution. The final prestack depth migration shows a good imaging of complex structures and faults, which demonstrates how important of the role that the fine residual moveout picking method plays in tomography inversion.

DOI	10.11648/j.ogce.20180606.14
Published in	International Journal of Oil, Gas and Coal Engineering (Volume 6, Issue 6, November 2018)
Page(s)	150-158
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Residual Moveout, Horizon Constraint, Prestack Depth Migration, Tomography, Velocity Inversion

References

[1]	Stork C. Reflection tomography in the postmigrated domain. Geophysics, 1992, vol. 57, pp. 680-692.
[2]	Adler F, Baina R, Soudani M A, Cardon P, Richard J B. Nonlinear 3D tomographic least-squares inversion of residual moveout in Kirchhoff prestack depth-migration common-image gathers. Geophysics, 2008, vol. 73, pp. 13-23.
[3]	Lafond C F, Levander A R. Migration moveout analysis and depth focusing. Geophysics, 1993, vol. 58, pp 91-100.
[4]	Wang B, Pann K. Model-based interpretation of focusing panels for depth focusing analysis. SEG Technical Program Expanded Abstracts, 1998, pp. 596-599.
[5]	Wang B, Dirks V, Guillaume P, Audebert F, Epili D. A 3D subsalt tomography based on wave equation migration perturbation scans. Geophysics, 2006, vol. 71, pp. 1-6.
[6]	Woodward M, Farmer P, Nichols D, Charles S. Automated 3D tomographic velocity analysis of residual moveout in prestack migrated common image point gathers. SEG Technical Program Expanded Abstracts, 1998, pp. 1218-1221.
[7]	Dahl S B, Maarten V. Hoop D, Ursin B. Velocity analysis in the common scattering-angle/Azimuth domain. SEG Technical Program Expanded Abstracts, 1999, pp. 1715-1718.
[8]	Xia F, Ren Y Q, Jin S W. Tomographic migration‐velocity analysis using common angle image gathers. SEG Technical Program Expanded Abstracts, 2008, pp. 3103-3107
[9]	Zhang K, Li Z C, Zeng T F, 2010. Residual curvature migration velocity analysis for angle domain common imaging gathers Applied Geophysics 7 49-56.
[10]	Wang T F, Kang W, Cheng J B 2014 Migration velocity model building using local angle domain nonlinear tomography CPS/SEG Beijing 2014 International Geophysical Conference 739-742.
[11]	Liu Z Y and Bleistein N. Migration velocity analysis: Theory and an iterative algorithm. Geophysics, 1995, vol. 60, pp. 142-153.
[12]	Kosloff D, Sherwood J, Koren Z, Machet E, Falkovitz Y. Velocity and interface depth determination by tomography of depth migrated gathers. Geophysics, 1996, vol.61, pp. 1511-1523.
[13]	Glinsky M E, Clark G A, Cheng P K Z, Devi K R S, Robinson J H, Ford G E. Automatic event picking in prestack migrated gathers using a probabilistic neural network. Geophysics, 2001, vol. 66, pp. 1488-1496.
[14]	Etgen J T, Billette F J, Sandschaper R, Rietveld W E. The key practical aspects of 3D tomography: Data picking and model representation. SEG Technical Program Expanded Abstracts, 2002, pp. 826-829.
[15]	Zhang Q and Du B. Multiscale and iterative refinement optical flow (MSIROF) for seismic image registration and gather flattening using multidimensional shifts. SEG Technical Program Expanded Abstracts, 2016, pp. 5468-5472.
[16]	Smith K. Machine learning assisted velocity autopicking. SEG Technical Program Expanded Abstracts, 2017, pp. 5686-5690.
[17]	Hu J, Ahmed L, Jonhston R, Asimakopoulos C. Reliable picking of residual moveouts for reflection tomography. SEG Technical Program Expanded Abstracts, 2017, pp. 5681-5685.
[18]	Liu Z Y and Bleistein N. Velocity analysis by residual moveout. SEG Technical Program Expanded Abstracts, 1992, pp. 1034-1037.
[19]	Li Z W, Yang K, Ni Y, Yang X C, Wang Y X, Wang X J. Migration velocity analysis with stereo-tomography inversion. Geophysical Prospecting for Petroleum, 2014, vol. 53, pp. 444-452.
[20]	Mandelli S, Lipari V, Tubaro S. An investigation of uncertainty in velocity model building problems. SEG Technical Program Expanded Abstracts, 2017, pp. 5711-5715.
[21]	Sun X Y, Hilburn G, He Y, Singh V. Horizon-based semblance picking tomography – a case study for velocity model building for Yucatan platform depth imaging. SEG Technical Program Expanded Abstracts, 2017, pp. 5721-5724.
[22]	Yu Y, Nichols D, Bloor R. Tomographic earth model building with prior information. SEG Technical Program Expanded Abstracts, 2017, pp. 5696-5700.
[23]	Zhang K, Li Z C, Zeng T F. Residual curvature migration velocity analysis for angle domain common imaging gathers. Applied Geophysics, 2010, vol. 7, pp. 49-56.
[24]	AlYahya K. Velocity analysis by iterative profile migration. Geophysics, 1989, vol. 54, pp. 718-729.

Cite This Article

Plain Text BibTeX RIS

APA Style

Hui Zhang. (2018). Analysis of Factors Affecting Residual Moveout Picking and Solutions. International Journal of Oil, Gas and Coal Engineering, 6(6), 150-158. https://doi.org/10.11648/j.ogce.20180606.14

Copy | Download

ACS Style

Hui Zhang. Analysis of Factors Affecting Residual Moveout Picking and Solutions. Int. J. Oil Gas Coal Eng. 2018, 6(6), 150-158. doi: 10.11648/j.ogce.20180606.14

Copy | Download

AMA Style

Hui Zhang. Analysis of Factors Affecting Residual Moveout Picking and Solutions. Int J Oil Gas Coal Eng. 2018;6(6):150-158. doi: 10.11648/j.ogce.20180606.14

Copy | Download

@article{10.11648/j.ogce.20180606.14,
  author = {Hui Zhang},
  title = {Analysis of Factors Affecting Residual Moveout Picking and Solutions},
  journal = {International Journal of Oil, Gas and Coal Engineering},
  volume = {6},
  number = {6},
  pages = {150-158},
  doi = {10.11648/j.ogce.20180606.14},
  url = {https://doi.org/10.11648/j.ogce.20180606.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ogce.20180606.14},
  abstract = {Reflection tomography on the base of common image gathers (CIGs) in offset domain or angle domain is the powerful and mostly used tool for velocity inversion. There are many factors that affect the accuracy and resolution of reflection tomography, in which RMO picking is a quite important one that can’t be ignored. Residual moveout Auto Picking on common image gathers is the most important step in tomography velocity inversion, the reliability of residual moveout picking decides the accuracy of tomography velocity inversion. Based on a case study of field data, the paper give a full discussions and experiences analysis of factors such as grid step, input data quality, geological structure, picking parameter, which affect residual moveout picking greatly. Furthermore, the paper also put forward corresponding suggestions and solutions to reduce or eliminate the impact of these factors on residual moveout picking. At last we implement a structure controlled residual moveout picking method with horizon constraint to a field data residual moveout picking. The proposed picking method refines the global picking though utilizing horizon constraint in vertical orientation and structure subdividing in lateral orientation. It effectively improves residual moveout quality and enhances inversion reliability, and also helps tomography inversion to update a velocity model with high resolution. The final prestack depth migration shows a good imaging of complex structures and faults, which demonstrates how important of the role that the fine residual moveout picking method plays in tomography inversion.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Analysis of Factors Affecting Residual Moveout Picking and Solutions
AU  - Hui Zhang
Y1  - 2018/10/23
PY  - 2018
N1  - https://doi.org/10.11648/j.ogce.20180606.14
DO  - 10.11648/j.ogce.20180606.14
T2  - International Journal of Oil, Gas and Coal Engineering
JF  - International Journal of Oil, Gas and Coal Engineering
JO  - International Journal of Oil, Gas and Coal Engineering
SP  - 150
EP  - 158
PB  - Science Publishing Group
SN  - 2376-7677
UR  - https://doi.org/10.11648/j.ogce.20180606.14
AB  - Reflection tomography on the base of common image gathers (CIGs) in offset domain or angle domain is the powerful and mostly used tool for velocity inversion. There are many factors that affect the accuracy and resolution of reflection tomography, in which RMO picking is a quite important one that can’t be ignored. Residual moveout Auto Picking on common image gathers is the most important step in tomography velocity inversion, the reliability of residual moveout picking decides the accuracy of tomography velocity inversion. Based on a case study of field data, the paper give a full discussions and experiences analysis of factors such as grid step, input data quality, geological structure, picking parameter, which affect residual moveout picking greatly. Furthermore, the paper also put forward corresponding suggestions and solutions to reduce or eliminate the impact of these factors on residual moveout picking. At last we implement a structure controlled residual moveout picking method with horizon constraint to a field data residual moveout picking. The proposed picking method refines the global picking though utilizing horizon constraint in vertical orientation and structure subdividing in lateral orientation. It effectively improves residual moveout quality and enhances inversion reliability, and also helps tomography inversion to update a velocity model with high resolution. The final prestack depth migration shows a good imaging of complex structures and faults, which demonstrates how important of the role that the fine residual moveout picking method plays in tomography inversion.
VL  - 6
IS  - 6
ER  -

Copy | Download

Author Information

Hui Zhang

Geophysical Research Institute, Zhong Yuan Oil Field, Zhengzhou, China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Hui Zhang. (2018). Analysis of Factors Affecting Residual Moveout Picking and Solutions. International Journal of Oil, Gas and Coal Engineering, 6(6), 150-158. https://doi.org/10.11648/j.ogce.20180606.14

Copy | Download

ACS Style

Hui Zhang. Analysis of Factors Affecting Residual Moveout Picking and Solutions. Int. J. Oil Gas Coal Eng. 2018, 6(6), 150-158. doi: 10.11648/j.ogce.20180606.14

Copy | Download

AMA Style

Hui Zhang. Analysis of Factors Affecting Residual Moveout Picking and Solutions. Int J Oil Gas Coal Eng. 2018;6(6):150-158. doi: 10.11648/j.ogce.20180606.14

Copy | Download

@article{10.11648/j.ogce.20180606.14,
  author = {Hui Zhang},
  title = {Analysis of Factors Affecting Residual Moveout Picking and Solutions},
  journal = {International Journal of Oil, Gas and Coal Engineering},
  volume = {6},
  number = {6},
  pages = {150-158},
  doi = {10.11648/j.ogce.20180606.14},
  url = {https://doi.org/10.11648/j.ogce.20180606.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ogce.20180606.14},
  abstract = {Reflection tomography on the base of common image gathers (CIGs) in offset domain or angle domain is the powerful and mostly used tool for velocity inversion. There are many factors that affect the accuracy and resolution of reflection tomography, in which RMO picking is a quite important one that can’t be ignored. Residual moveout Auto Picking on common image gathers is the most important step in tomography velocity inversion, the reliability of residual moveout picking decides the accuracy of tomography velocity inversion. Based on a case study of field data, the paper give a full discussions and experiences analysis of factors such as grid step, input data quality, geological structure, picking parameter, which affect residual moveout picking greatly. Furthermore, the paper also put forward corresponding suggestions and solutions to reduce or eliminate the impact of these factors on residual moveout picking. At last we implement a structure controlled residual moveout picking method with horizon constraint to a field data residual moveout picking. The proposed picking method refines the global picking though utilizing horizon constraint in vertical orientation and structure subdividing in lateral orientation. It effectively improves residual moveout quality and enhances inversion reliability, and also helps tomography inversion to update a velocity model with high resolution. The final prestack depth migration shows a good imaging of complex structures and faults, which demonstrates how important of the role that the fine residual moveout picking method plays in tomography inversion.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Analysis of Factors Affecting Residual Moveout Picking and Solutions
AU  - Hui Zhang
Y1  - 2018/10/23
PY  - 2018
N1  - https://doi.org/10.11648/j.ogce.20180606.14
DO  - 10.11648/j.ogce.20180606.14
T2  - International Journal of Oil, Gas and Coal Engineering
JF  - International Journal of Oil, Gas and Coal Engineering
JO  - International Journal of Oil, Gas and Coal Engineering
SP  - 150
EP  - 158
PB  - Science Publishing Group
SN  - 2376-7677
UR  - https://doi.org/10.11648/j.ogce.20180606.14
AB  - Reflection tomography on the base of common image gathers (CIGs) in offset domain or angle domain is the powerful and mostly used tool for velocity inversion. There are many factors that affect the accuracy and resolution of reflection tomography, in which RMO picking is a quite important one that can’t be ignored. Residual moveout Auto Picking on common image gathers is the most important step in tomography velocity inversion, the reliability of residual moveout picking decides the accuracy of tomography velocity inversion. Based on a case study of field data, the paper give a full discussions and experiences analysis of factors such as grid step, input data quality, geological structure, picking parameter, which affect residual moveout picking greatly. Furthermore, the paper also put forward corresponding suggestions and solutions to reduce or eliminate the impact of these factors on residual moveout picking. At last we implement a structure controlled residual moveout picking method with horizon constraint to a field data residual moveout picking. The proposed picking method refines the global picking though utilizing horizon constraint in vertical orientation and structure subdividing in lateral orientation. It effectively improves residual moveout quality and enhances inversion reliability, and also helps tomography inversion to update a velocity model with high resolution. The final prestack depth migration shows a good imaging of complex structures and faults, which demonstrates how important of the role that the fine residual moveout picking method plays in tomography inversion.
VL  - 6
IS  - 6
ER  -

Copy | Download