Research Methods of Different Levels of Reservoirs Based on Seismic Data

Wen Yelong

doi:doi:10.11648/j.earth.20200902.12

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Research Methods of Different Levels of Reservoirs Based on Seismic Data

Wen Yelong

Published in Earth Sciences (Volume 9, Issue 2)

Received: 14 November 2019 Accepted: 7 January 2020 Published: 6 March 2020

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Abstract

The lack of drilling data is a difficult problem in the study of reservoir configuration under the condition of sparse well pattern. In this paper, the seismic data are fully excavated, and the methods of frequency RGB fusion, small scale river sand attribute fusion and horizontal well data combination are used to study the river level, the level point bar level, and the internal configuration of point bar. The frequency division RGB fusion method has a good effect on the characterization of large-scale channel reservoirs, especially the channel stacking period and channel boundary response. The integrated attributes of river channel and sand body distribution method has a good effect on depicting the small-scale end river channel and abandoned river channel, and on this basis, the research on point bar sand body is consistent with the actual drilling. The high-precision edge detection section and RGB fusion section are superimposed to display the development of lateral volume, and verify with the actual horizontal well. River facies reservoirs of different scales have been verified by drilling with targeted research techniques. The results show that under the condition of sparse well pattern, well-seismic combination is the key to the division of small-scale sedimentary units, multi-attribute fusion under high-resolution seismic data is an important means to identify and depict point bar and abandoned river channels, and the application of horizontal well data is a supplementary means to test results and depict lateral accumulation. The research results have achieved good application results in guiding the actual production of oil field.

Published in	Earth Sciences (Volume 9, Issue 2)
DOI	10.11648/j.earth.20200902.12
Page(s)	61-64
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), 2020. Published by Science Publishing Group

Keywords

Reservoir Configuration, Point Bar Sand Body, Abandoned Channel, Seismic Fusion Attribute

References

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[3]	Sun X P, Zhou C. Small –scale edge characteristic seismic detection technique [J]. OGP, 2011, 46 (1): 121-125.
[4]	Ma J G, Hou D M, Shi H, et al. Small scale river identification based on seismic attributes [J]. Complex Hydrocarbon Reservoirs, 2016, 9 (4): 22-25.
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[7]	Zhang mingxue, Lei jiangping, Liu weiwei, et al. Application of 90° Phase Conversion and Waveform Classification Techniques in the Northwest of Beier Reservoir Prediction [J]. Science Technology and Engineering, 2010, 10 (18): 4376-4380.
[8]	Yuan Zhi yun, Kong Ling hong, Wang Chen lin. Application of spectrum decomposition in reservoir prediction [J]. Oil Geophysical Prospecting, 2006, 41 (Supplement): 11-115.
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[11]	Li yupeng, Wu shenghe, Yue dali. Quantitative relation of the channel width and point-bar length of modern meandering river [J]. Petroleum Geology & Oilfield Development in Daqing, 2008, 27 (6): 19-22.
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[15]	Zhou Lianmin, He Shumei, Zhao Yuwen, et al. Single channel identification in a meandering river with compound channels [J]. OGP, 2019, 54 (1): 175-181.

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APA Style

Wen Yelong. (2020). Research Methods of Different Levels of Reservoirs Based on Seismic Data. Earth Sciences, 9(2), 61-64. https://doi.org/10.11648/j.earth.20200902.12

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ACS Style

Wen Yelong. Research Methods of Different Levels of Reservoirs Based on Seismic Data. Earth Sci. 2020, 9(2), 61-64. doi: 10.11648/j.earth.20200902.12

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AMA Style

Wen Yelong. Research Methods of Different Levels of Reservoirs Based on Seismic Data. Earth Sci. 2020;9(2):61-64. doi: 10.11648/j.earth.20200902.12

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@article{10.11648/j.earth.20200902.12,
  author = {Wen Yelong},
  title = {Research Methods of Different Levels of Reservoirs Based on Seismic Data},
  journal = {Earth Sciences},
  volume = {9},
  number = {2},
  pages = {61-64},
  doi = {10.11648/j.earth.20200902.12},
  url = {https://doi.org/10.11648/j.earth.20200902.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20200902.12},
  abstract = {The lack of drilling data is a difficult problem in the study of reservoir configuration under the condition of sparse well pattern. In this paper, the seismic data are fully excavated, and the methods of frequency RGB fusion, small scale river sand attribute fusion and horizontal well data combination are used to study the river level, the level point bar level, and the internal configuration of point bar. The frequency division RGB fusion method has a good effect on the characterization of large-scale channel reservoirs, especially the channel stacking period and channel boundary response. The integrated attributes of river channel and sand body distribution method has a good effect on depicting the small-scale end river channel and abandoned river channel, and on this basis, the research on point bar sand body is consistent with the actual drilling. The high-precision edge detection section and RGB fusion section are superimposed to display the development of lateral volume, and verify with the actual horizontal well. River facies reservoirs of different scales have been verified by drilling with targeted research techniques. The results show that under the condition of sparse well pattern, well-seismic combination is the key to the division of small-scale sedimentary units, multi-attribute fusion under high-resolution seismic data is an important means to identify and depict point bar and abandoned river channels, and the application of horizontal well data is a supplementary means to test results and depict lateral accumulation. The research results have achieved good application results in guiding the actual production of oil field.},
 year = {2020}
}

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TY  - JOUR
T1  - Research Methods of Different Levels of Reservoirs Based on Seismic Data
AU  - Wen Yelong
Y1  - 2020/03/06
PY  - 2020
N1  - https://doi.org/10.11648/j.earth.20200902.12
DO  - 10.11648/j.earth.20200902.12
T2  - Earth Sciences
JF  - Earth Sciences
JO  - Earth Sciences
SP  - 61
EP  - 64
PB  - Science Publishing Group
SN  - 2328-5982
UR  - https://doi.org/10.11648/j.earth.20200902.12
AB  - The lack of drilling data is a difficult problem in the study of reservoir configuration under the condition of sparse well pattern. In this paper, the seismic data are fully excavated, and the methods of frequency RGB fusion, small scale river sand attribute fusion and horizontal well data combination are used to study the river level, the level point bar level, and the internal configuration of point bar. The frequency division RGB fusion method has a good effect on the characterization of large-scale channel reservoirs, especially the channel stacking period and channel boundary response. The integrated attributes of river channel and sand body distribution method has a good effect on depicting the small-scale end river channel and abandoned river channel, and on this basis, the research on point bar sand body is consistent with the actual drilling. The high-precision edge detection section and RGB fusion section are superimposed to display the development of lateral volume, and verify with the actual horizontal well. River facies reservoirs of different scales have been verified by drilling with targeted research techniques. The results show that under the condition of sparse well pattern, well-seismic combination is the key to the division of small-scale sedimentary units, multi-attribute fusion under high-resolution seismic data is an important means to identify and depict point bar and abandoned river channels, and the application of horizontal well data is a supplementary means to test results and depict lateral accumulation. The research results have achieved good application results in guiding the actual production of oil field.
VL  - 9
IS  - 2
ER  -

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Author Information

Wen Yelong

Hainan Brahnch of Ankehongke Ltd, Haikou, China

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Plain Text BibTeX RIS

APA Style

Wen Yelong. (2020). Research Methods of Different Levels of Reservoirs Based on Seismic Data. Earth Sciences, 9(2), 61-64. https://doi.org/10.11648/j.earth.20200902.12

Copy | Download

ACS Style

Wen Yelong. Research Methods of Different Levels of Reservoirs Based on Seismic Data. Earth Sci. 2020, 9(2), 61-64. doi: 10.11648/j.earth.20200902.12

Copy | Download

AMA Style

Wen Yelong. Research Methods of Different Levels of Reservoirs Based on Seismic Data. Earth Sci. 2020;9(2):61-64. doi: 10.11648/j.earth.20200902.12

Copy | Download

@article{10.11648/j.earth.20200902.12,
  author = {Wen Yelong},
  title = {Research Methods of Different Levels of Reservoirs Based on Seismic Data},
  journal = {Earth Sciences},
  volume = {9},
  number = {2},
  pages = {61-64},
  doi = {10.11648/j.earth.20200902.12},
  url = {https://doi.org/10.11648/j.earth.20200902.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20200902.12},
  abstract = {The lack of drilling data is a difficult problem in the study of reservoir configuration under the condition of sparse well pattern. In this paper, the seismic data are fully excavated, and the methods of frequency RGB fusion, small scale river sand attribute fusion and horizontal well data combination are used to study the river level, the level point bar level, and the internal configuration of point bar. The frequency division RGB fusion method has a good effect on the characterization of large-scale channel reservoirs, especially the channel stacking period and channel boundary response. The integrated attributes of river channel and sand body distribution method has a good effect on depicting the small-scale end river channel and abandoned river channel, and on this basis, the research on point bar sand body is consistent with the actual drilling. The high-precision edge detection section and RGB fusion section are superimposed to display the development of lateral volume, and verify with the actual horizontal well. River facies reservoirs of different scales have been verified by drilling with targeted research techniques. The results show that under the condition of sparse well pattern, well-seismic combination is the key to the division of small-scale sedimentary units, multi-attribute fusion under high-resolution seismic data is an important means to identify and depict point bar and abandoned river channels, and the application of horizontal well data is a supplementary means to test results and depict lateral accumulation. The research results have achieved good application results in guiding the actual production of oil field.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Research Methods of Different Levels of Reservoirs Based on Seismic Data
AU  - Wen Yelong
Y1  - 2020/03/06
PY  - 2020
N1  - https://doi.org/10.11648/j.earth.20200902.12
DO  - 10.11648/j.earth.20200902.12
T2  - Earth Sciences
JF  - Earth Sciences
JO  - Earth Sciences
SP  - 61
EP  - 64
PB  - Science Publishing Group
SN  - 2328-5982
UR  - https://doi.org/10.11648/j.earth.20200902.12
AB  - The lack of drilling data is a difficult problem in the study of reservoir configuration under the condition of sparse well pattern. In this paper, the seismic data are fully excavated, and the methods of frequency RGB fusion, small scale river sand attribute fusion and horizontal well data combination are used to study the river level, the level point bar level, and the internal configuration of point bar. The frequency division RGB fusion method has a good effect on the characterization of large-scale channel reservoirs, especially the channel stacking period and channel boundary response. The integrated attributes of river channel and sand body distribution method has a good effect on depicting the small-scale end river channel and abandoned river channel, and on this basis, the research on point bar sand body is consistent with the actual drilling. The high-precision edge detection section and RGB fusion section are superimposed to display the development of lateral volume, and verify with the actual horizontal well. River facies reservoirs of different scales have been verified by drilling with targeted research techniques. The results show that under the condition of sparse well pattern, well-seismic combination is the key to the division of small-scale sedimentary units, multi-attribute fusion under high-resolution seismic data is an important means to identify and depict point bar and abandoned river channels, and the application of horizontal well data is a supplementary means to test results and depict lateral accumulation. The research results have achieved good application results in guiding the actual production of oil field.
VL  - 9
IS  - 2
ER  -

Copy | Download