Carbonate reservoir fracture prediction by using pre-stack and post-stack seismic techniques in Nanpu2 buried-hill

被引:0
|
作者
机构
[1] Geng, Fulan
来源
Geng, F. | 1600年 / Science Press, 16 Donghuangchenggen North Street, Beijing, 100717, China卷 / 52期
关键词
Anisotropy analysis - Attenuation gradient - Carbonate reservoir - Comprehensive prediction - Curvature attribute - Fracture prediction - Heterogeneous carbonates - Prediction methods;
D O I
10.3969/j.issn.1000-1441.2013.01.014
中图分类号
学科分类号
摘要
Based on wide-azimuth seismic data and drilling data, the seismic comprehensive prediction of Ordovician heterogeneous carbonate fracture-carst reservoir was conducted in the top of Nanpu2 buried-hill.On the basis of seismic data amplitude-preservation processing, the surface layer and fracture pattern of Nanpu2 buried-hill is identified by fine structure interpretation. Meanwhile, the P-wave azimuth anisotropy analysis technique is used to carry out pre-stack fracture prediction and curvature attribute is adopted to carry out post-stack fracture prediction. Moreover, post-stack attenuation gradient is utilized to detect the distribution of caves. By comparing the pre-stack and post-stack prediction results, combined with FMI imaging logging interpretation result and drilling data, we proved the correctness of our research clue and the effectiveness of the prediction methods. The comprehensive prediction results provide a basis for identifying the potential target area of Ordovician carbonate reservoir in the Nanpu2 buried-hill.
引用
收藏
相关论文
共 44 条
  • [1] Fracture prediction by using pre-stack and post-stack seismic techniques in S2 block, Yemen
    Qi, Qing
    Qu, Shouli
    Li, Zhenchun
    Sun, Zhentao
    Chen, Yong
    [J]. Geophysical Prospecting for Petroleum, 2014, 53 (05) : 603 - 608
  • [2] Multi-scale fracture prediction of shale oil reservoir driven by the combination of post-stack and pre-stack seismic data
    Chen Gang
    Li ShiChang
    Song SiYu
    Li YingYan
    He JiXiang
    Tang TingMing
    Zhu FuYu
    Zhao Yang
    Lu MingHui
    [J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2024, 67 (07): : 2830 - 2849
  • [3] Pre-stack and post-stack seismic comprehensive prediction method and its application in carbonate fractured-vuggy reservoirs
    Liu, Tao
    Wang, Tieyi
    Sun, Ke
    Han, Dong
    [J]. Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2023, 58 (06): : 1463 - 1471
  • [4] Seismic data pre-stack processing techniques for carbonate reservoir in Central Tarim Basin
    Tao, Yun-Guang
    Wang, Xiao-Wei
    Lu, Lei
    Tian, Yan-Can
    Zhao, Wei
    [J]. Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2010, 45 (02): : 230 - 236
  • [5] Pre-stack and post-stack seismic for detecting oil and gas based on dual-phase medium theory
    Zhang, Huixing
    Wang, Peng
    Sun, Yang
    [J]. Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology (ICMIT), 2016, 49 : 79 - 83
  • [6] Nonlinear multi-parameter hybrid inversion of pre-stack and post-stack seismic data based on Zoeppritz equation
    Zhang L.
    Zhang H.
    Shang Z.
    Yan L.
    Ren Q.
    [J]. Zhang, Hongbing (hbzhang@hhu.edu.cn), 1600, Science Press (56): : 164 - 171
  • [7] Reservoir prediction using pre-stack inverted elastic parameters
    Chen Shuangquan
    Wang Shangxu
    Zhang Yonggang
    Ji Min
    [J]. APPLIED GEOPHYSICS, 2009, 6 (04) : 349 - 358
  • [8] Reservoir prediction using pre-stack inverted elastic parameters
    Shuangquan Chen
    Shangxu Wang
    Yonggang Zhang
    Min Ji
    [J]. Applied Geophysics, 2009, 6 : 349 - 358
  • [9] Selection of Sensitive Post-Stack and Pre-Stack Seismic Inversion Attributes for Improved Characterization of Thin Gas-Bearing Sands
    Shakir, Urooj
    Ali, Aamir
    Hussain, Muyyassar
    Azeem, Tahir
    Bashir, Lamuail
    [J]. PURE AND APPLIED GEOPHYSICS, 2022, 179 (01) : 169 - 196
  • [10] Selection of Sensitive Post-Stack and Pre-Stack Seismic Inversion Attributes for Improved Characterization of Thin Gas-Bearing Sands
    Urooj Shakir
    Aamir Ali
    Muyyassar Hussain
    Tahir Azeem
    Lamuail Bashir
    [J]. Pure and Applied Geophysics, 2022, 179 : 169 - 196