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Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study

Received: 26 July 2021    Accepted: 4 August 2021    Published: 28 October 2021
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Abstract

Fracture is a kind of important reservoir in petroleum exploration, which usually exist in the carbonate rock or igneous rock. However, it is always difficult to predict the fracture with the seismic data. In this paper, based on curvature attributes, we develop a workflow for the prediction of fractured zone, fracture orientation, and open fractures. We begin with curvature calculation to predict fractured reservoirs and then calculate rose diagrams using curvature data. Fracture orientation is established by comparing the rose diagrams from imaging logs and the analogues from curvature data. We identify two principal orientations and calculate the azimuth intensity in these two directions using the curvature data. As per the crossplots of azimuth intensity in two directions and productivity, the azimuth with good correlation is the open azimuth of fractures. We apply this method to a Kazakhstan oilfield K and predict fractured-vuggy reservoirs in the eastern field and fractured reservoirs in the western field. In accordance with the prediction, there are two groups of fractures, one in a northeast direction and the other in a northwest direction. NE fractures are open in the northern field, and NW fractures are open in the southern field. We suggest two sites for well drilling, which obtain economic oil flow.

Published in American Journal of Physics and Applications (Volume 9, Issue 5)
DOI 10.11648/j.ajpa.20210905.15
Page(s) 127-132
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

Fractured Reservoir, Anisotropy, Curvature, Azimuth Intensity, Rose Diagram

References
[1] Hart, B. S., R. A. Pearson, and G. C. Rawling. 3D seismic horizon-based approaches to fractures warm sweet spot definition in tight-gas reservoirs [J]. The Leading Edge, 2002, 21: 28–35.
[2] Narhari, S. R., A. L. Al-Kandari, V. K. Kidambi, et al. Understanding fractures through seismic data: North Kuwait case study [C]. 2009, 79th Annual International Meeting, SEG, Expanded Abstracts: 547–550.
[3] Guo, Y., K. Zhang, K. J. Marfurt. Seismic attribute illumination of Woodford Shale faults and fractures, Arkoma Basin [C]. 2010, 80th Annual International Meeting, SEG, Expanded Abstracts: 1372-1376.
[4] Hennings, P. H., J. E. Olson, et al. Combining outcrop data and three-dimensional structural models to characterize fractured reservoirs: a example from Wyoming [J]. AAPG Bulletin, 2000, 84: 830-849.
[5] Nissen, Carr, K. J. Marfurt, et, al. Using 3D seismic volumetric curvature attributes to identify fracture trends in a depleted Mississippian carbonate reservoir: Implications for assessing candidates for CO2 sequestration [J]. AAPG Studies in Geology, 2009, 59: 297–319.
[6] Cui L J, He Y N, Wang J X et al. Application of seismic curvature based on horizon to carbonate fault prediction: An example of an area in Tabei, Tarim Basin [J]. Lithologic Reservoirs, 2012, 24 (1): 92-96.
[7] Wang H J, Wang L L, Wan X M et al. Fracture Prediction of Low Permeability Reservoirs of the Mesozoic in North Yellow Sea Basin [J]. Xinjiang Petroleum Geology, 2014, 35 (3): 268-272.
[8] Sheng X L. Minor Fault Identification Based on 3D Seismic Curvature [J]. Coal Geology of China, 2018, 30 (S1): (109-117).
[9] Roberts, A. Curvature attributes and their application to interpreted horizons [J]. First Break, 2001, 19: 85-99.
[10] Bergbauer, S. T. Mukerji, P. Hennings. Improving curvature analyses of deformed horizons using scale-dependent filtering techniques [J]. AAPG Bulletin, 2003, 87: 1255-1272.
[11] Al-Dossary, K. J. Marfurt. 3-D volumetric multispectral estimates of reflector curvature and rotation [J]. Geophysics, 2006, 71: 41-51.
[12] Zhang W, Yan J G, Zhou H S. The application of seismic rose in the analysis of fracture [J]. Periodical agency of Yangze university, 2012, 9 (12): 61-63.
[13] Guo Y X, Zhang K, Kurt J. Marfurt. Quantitative correlation of fluid flow to curvature lineaments [C], SEG Las Vegas Annual meeting, 2012, Abstracts: 501-506.
[14] Zhang W. Seismic Rose Diagrams Analysis for Fracture Prediction and Tectonic Stress [D]. Chengdu: Chengdu University of Technology, 2013.
[15] Kong X Y, Yin J Y, Zhang F Q. Oil gas geological features and its exploration potential in South Turgay Basin, Kazakhstan [J]. Lithologic Reservoirs, 2007, 9 (3): 48-54.
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  • APA Style

    Chang Deshuang, Chen Zhigang, Xu Jianguo, Han Yuchun, Sun Xing, et al. (2021). Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study. American Journal of Physics and Applications, 9(5), 127-132. https://doi.org/10.11648/j.ajpa.20210905.15

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    ACS Style

    Chang Deshuang; Chen Zhigang; Xu Jianguo; Han Yuchun; Sun Xing, et al. Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study. Am. J. Phys. Appl. 2021, 9(5), 127-132. doi: 10.11648/j.ajpa.20210905.15

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    AMA Style

    Chang Deshuang, Chen Zhigang, Xu Jianguo, Han Yuchun, Sun Xing, et al. Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study. Am J Phys Appl. 2021;9(5):127-132. doi: 10.11648/j.ajpa.20210905.15

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  • @article{10.11648/j.ajpa.20210905.15,
      author = {Chang Deshuang and Chen Zhigang and Xu Jianguo and Han Yuchun and Sun Xing and Guo Jianming},
      title = {Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study},
      journal = {American Journal of Physics and Applications},
      volume = {9},
      number = {5},
      pages = {127-132},
      doi = {10.11648/j.ajpa.20210905.15},
      url = {https://doi.org/10.11648/j.ajpa.20210905.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20210905.15},
      abstract = {Fracture is a kind of important reservoir in petroleum exploration, which usually exist in the carbonate rock or igneous rock. However, it is always difficult to predict the fracture with the seismic data. In this paper, based on curvature attributes, we develop a workflow for the prediction of fractured zone, fracture orientation, and open fractures. We begin with curvature calculation to predict fractured reservoirs and then calculate rose diagrams using curvature data. Fracture orientation is established by comparing the rose diagrams from imaging logs and the analogues from curvature data. We identify two principal orientations and calculate the azimuth intensity in these two directions using the curvature data. As per the crossplots of azimuth intensity in two directions and productivity, the azimuth with good correlation is the open azimuth of fractures. We apply this method to a Kazakhstan oilfield K and predict fractured-vuggy reservoirs in the eastern field and fractured reservoirs in the western field. In accordance with the prediction, there are two groups of fractures, one in a northeast direction and the other in a northwest direction. NE fractures are open in the northern field, and NW fractures are open in the southern field. We suggest two sites for well drilling, which obtain economic oil flow.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Workflow of Fracture Prediction Using Curvature-Related Attributes and a Case Study
    AU  - Chang Deshuang
    AU  - Chen Zhigang
    AU  - Xu Jianguo
    AU  - Han Yuchun
    AU  - Sun Xing
    AU  - Guo Jianming
    Y1  - 2021/10/28
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ajpa.20210905.15
    DO  - 10.11648/j.ajpa.20210905.15
    T2  - American Journal of Physics and Applications
    JF  - American Journal of Physics and Applications
    JO  - American Journal of Physics and Applications
    SP  - 127
    EP  - 132
    PB  - Science Publishing Group
    SN  - 2330-4308
    UR  - https://doi.org/10.11648/j.ajpa.20210905.15
    AB  - Fracture is a kind of important reservoir in petroleum exploration, which usually exist in the carbonate rock or igneous rock. However, it is always difficult to predict the fracture with the seismic data. In this paper, based on curvature attributes, we develop a workflow for the prediction of fractured zone, fracture orientation, and open fractures. We begin with curvature calculation to predict fractured reservoirs and then calculate rose diagrams using curvature data. Fracture orientation is established by comparing the rose diagrams from imaging logs and the analogues from curvature data. We identify two principal orientations and calculate the azimuth intensity in these two directions using the curvature data. As per the crossplots of azimuth intensity in two directions and productivity, the azimuth with good correlation is the open azimuth of fractures. We apply this method to a Kazakhstan oilfield K and predict fractured-vuggy reservoirs in the eastern field and fractured reservoirs in the western field. In accordance with the prediction, there are two groups of fractures, one in a northeast direction and the other in a northwest direction. NE fractures are open in the northern field, and NW fractures are open in the southern field. We suggest two sites for well drilling, which obtain economic oil flow.
    VL  - 9
    IS  - 5
    ER  - 

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Author Information
  • Geology Research Center of Research Institute, BGP Inc., China National Petroleum Corporation, Zhuozhou, China

  • Geology Research Center of Research Institute, BGP Inc., China National Petroleum Corporation, Zhuozhou, China

  • China National Oil and Gas Exploration and Development Corporation, Beijing, China

  • Geology Research Center of Research Institute, BGP Inc., China National Petroleum Corporation, Zhuozhou, China

  • Geology Research Center of Research Institute, BGP Inc., China National Petroleum Corporation, Zhuozhou, China

  • Geology Research Center of Research Institute, BGP Inc., China National Petroleum Corporation, Zhuozhou, China

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