Analysis of Factors Affecting Residual Moveout Picking and Solutions

Hui Zhang

doi:doi:10.11648/j.ogce.20180606.14

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Analysis of Factors Affecting Residual Moveout Picking and Solutions

Hui Zhang

Published in International Journal of Oil, Gas and Coal Engineering (Volume 6, Issue 6)

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

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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.

Published in	International Journal of Oil, Gas and Coal Engineering (Volume 6, Issue 6)
DOI	10.11648/j.ogce.20180606.14
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), 2018. Published by Science Publishing Group

Keywords

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

References

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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

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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

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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

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@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}
}

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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  -

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Author Information

Hui Zhang

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

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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