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Determination of Hydrocarbon-bearing Property of Deep-water Sandstone by Fluid Pressure Gradient from Seismic Attributes

Received: 27 April 2021     Accepted: 10 May 2021     Published: 22 July 2021
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Abstract

In the same hydrodynamic system, because the densities of oil and gas are smaller than that of water, their pressure gradients are also smaller. Therefore, the pressure gradient can determine fluid properties. Based on seismic data and well logging data, this paper attempts to apply the equivalent medium theory to predict the pressure gradient, and then to identify fluids. Firstly, the upper and lower limits of bulk modulus and shear modulus of rocks can be obtained by using wellbore and well logging interpretation data. Secondly, based on the equivalent medium theory, the fluid velocity (when rock rigidity approaching zero) and the rock matrix velocity (when porosity approaching zero) are predicted. Thirdly, the predicted two types of velocity curves and the original acoustic curves are used for seismic inversion. Finally, according to the inversion results, the formation pressure and pressure gradient can be obtained by using the Fillippone pressure formula, and the hydrocarbon-bearing property of reservoirs can be determined according to the theoretical pressure gradients of different fluids. For offshore deep-water sandstone in an overseas block, when the frequency attributes for hydrocarbon detection cannot reflect hydrocarbons well, the fluid pressure gradient attribute is used to predict hydrocarbons, and the prediction coincidence rate reaches 70%.

Published in International Journal of Oil, Gas and Coal Engineering (Volume 9, Issue 3)
DOI 10.11648/j.ogce.20210903.11
Page(s) 36-41
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), 2021. Published by Science Publishing Group

Keywords

Pressure Gradient, Bulk Modulus, Shear Modulus, Hydrocarbon Detection, Equivalent Medium Theory

References
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[8] WANG X P, HE Z H, XIONG X J. Namerical simulation of low frequency adjoint-shadows based on wavelet attenuation and hydrocarbon detection [J]. Petroleum Geology and Oilfield Development in Daqing, 2011, 30 (1): 157-160.
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  • APA Style

    Chang Deshuang, Chen Zhigang, Han Yuchun, Sun Xing, Chen Jie, et al. (2021). Determination of Hydrocarbon-bearing Property of Deep-water Sandstone by Fluid Pressure Gradient from Seismic Attributes. International Journal of Oil, Gas and Coal Engineering, 9(3), 36-41. https://doi.org/10.11648/j.ogce.20210903.11

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    ACS Style

    Chang Deshuang; Chen Zhigang; Han Yuchun; Sun Xing; Chen Jie, et al. Determination of Hydrocarbon-bearing Property of Deep-water Sandstone by Fluid Pressure Gradient from Seismic Attributes. Int. J. Oil Gas Coal Eng. 2021, 9(3), 36-41. doi: 10.11648/j.ogce.20210903.11

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    AMA Style

    Chang Deshuang, Chen Zhigang, Han Yuchun, Sun Xing, Chen Jie, et al. Determination of Hydrocarbon-bearing Property of Deep-water Sandstone by Fluid Pressure Gradient from Seismic Attributes. Int J Oil Gas Coal Eng. 2021;9(3):36-41. doi: 10.11648/j.ogce.20210903.11

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  • @article{10.11648/j.ogce.20210903.11,
      author = {Chang Deshuang and Chen Zhigang and Han Yuchun and Sun Xing and Chen Jie and Zhao Qian and Zhao Xiaoqing},
      title = {Determination of Hydrocarbon-bearing Property of Deep-water Sandstone by Fluid Pressure Gradient from Seismic Attributes},
      journal = {International Journal of Oil, Gas and Coal Engineering},
      volume = {9},
      number = {3},
      pages = {36-41},
      doi = {10.11648/j.ogce.20210903.11},
      url = {https://doi.org/10.11648/j.ogce.20210903.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ogce.20210903.11},
      abstract = {In the same hydrodynamic system, because the densities of oil and gas are smaller than that of water, their pressure gradients are also smaller. Therefore, the pressure gradient can determine fluid properties. Based on seismic data and well logging data, this paper attempts to apply the equivalent medium theory to predict the pressure gradient, and then to identify fluids. Firstly, the upper and lower limits of bulk modulus and shear modulus of rocks can be obtained by using wellbore and well logging interpretation data. Secondly, based on the equivalent medium theory, the fluid velocity (when rock rigidity approaching zero) and the rock matrix velocity (when porosity approaching zero) are predicted. Thirdly, the predicted two types of velocity curves and the original acoustic curves are used for seismic inversion. Finally, according to the inversion results, the formation pressure and pressure gradient can be obtained by using the Fillippone pressure formula, and the hydrocarbon-bearing property of reservoirs can be determined according to the theoretical pressure gradients of different fluids. For offshore deep-water sandstone in an overseas block, when the frequency attributes for hydrocarbon detection cannot reflect hydrocarbons well, the fluid pressure gradient attribute is used to predict hydrocarbons, and the prediction coincidence rate reaches 70%.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Determination of Hydrocarbon-bearing Property of Deep-water Sandstone by Fluid Pressure Gradient from Seismic Attributes
    AU  - Chang Deshuang
    AU  - Chen Zhigang
    AU  - Han Yuchun
    AU  - Sun Xing
    AU  - Chen Jie
    AU  - Zhao Qian
    AU  - Zhao Xiaoqing
    Y1  - 2021/07/22
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ogce.20210903.11
    DO  - 10.11648/j.ogce.20210903.11
    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  - 36
    EP  - 41
    PB  - Science Publishing Group
    SN  - 2376-7677
    UR  - https://doi.org/10.11648/j.ogce.20210903.11
    AB  - In the same hydrodynamic system, because the densities of oil and gas are smaller than that of water, their pressure gradients are also smaller. Therefore, the pressure gradient can determine fluid properties. Based on seismic data and well logging data, this paper attempts to apply the equivalent medium theory to predict the pressure gradient, and then to identify fluids. Firstly, the upper and lower limits of bulk modulus and shear modulus of rocks can be obtained by using wellbore and well logging interpretation data. Secondly, based on the equivalent medium theory, the fluid velocity (when rock rigidity approaching zero) and the rock matrix velocity (when porosity approaching zero) are predicted. Thirdly, the predicted two types of velocity curves and the original acoustic curves are used for seismic inversion. Finally, according to the inversion results, the formation pressure and pressure gradient can be obtained by using the Fillippone pressure formula, and the hydrocarbon-bearing property of reservoirs can be determined according to the theoretical pressure gradients of different fluids. For offshore deep-water sandstone in an overseas block, when the frequency attributes for hydrocarbon detection cannot reflect hydrocarbons well, the fluid pressure gradient attribute is used to predict hydrocarbons, and the prediction coincidence rate reaches 70%.
    VL  - 9
    IS  - 3
    ER  - 

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Author Information
  • Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China

  • Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China

  • Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China

  • Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China

  • Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China

  • Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China

  • Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China

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