A New Seismic Inversion Scheme Using Fluid Dispersion Attribute for Direct Gas Identification in Tight Sandstone Reservoirs

被引:11
|
作者
Guo, Zhiqi [1 ]
Zhao, Danyu [1 ]
Liu, Cai [1 ]
机构
[1] Jilin Univ, Coll Geoexplorat Sci & Technol, Changchun 130021, Peoples R China
基金
中国国家自然科学基金;
关键词
fluid-solid decoupled scheme; frequency-dependent seismic inversion; fluid dispersion attribute; gas identification; tight sandstone; DEPENDENT AVO INVERSION; MESOSCALE FRACTURES; PORE-FLUID; ROCK; ATTENUATION;
D O I
10.3390/rs14215326
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sufficient gas accumulation is an essential factor that controls the effective development of tight sandstone gas reservoirs that are generally characterized by low porosity and permeability. Seismic methods are important for predicting potential gas areas in tight sandstones. However, the complex relationships between rock physical properties and gas saturation make gas enrichment estimation with seismic methods challenging. Nonetheless, seismic velocity dispersion using a wave-induced fluid flow mechanism can enable gas identification by utilizing the associated dispersion attributes. This paper proposes a method for improved gas identification using a new fluid dispersion attribute obtained by incorporating the decoupled fluid-solid seismic amplitude variation with offset representation into the frequency-dependent inversion scheme. Numerical analyses and synthetic data tests confirmed the enhanced sensitivity of the fluid dispersion attribute to gas saturation compared to the conventionally used compressional wave velocity dispersion attribute. Field data applications further validated the ability of the proposed fluid dispersion attribute to improve gas prediction in tight sandstone reservoirs. The results of the measurements enable rational interpretation of the geological significance of assessments of reservoir properties from gas-producing wellbores. The proposed fluid dispersion attribute is a reliable indicator for gas prediction and represents a useful tool for characterizing tight sandstone reservoirs.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Gas prediction using an improved seismic dispersion attribute inversion for tight sandstone gas reservoirs in the Ordos Basin, China
    Guo, Zhiqi
    Zhao, Danyu
    Liu, Cai
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2022, 101
  • [2] Direct hydrocarbon identification in shale oil reservoirs using fluid dispersion attribute based on an extended frequency-dependent seismic inversion scheme
    Guo, Zhi-Qi
    Zhang, Tao
    Liu, Cai
    PETROLEUM SCIENCE, 2023, 20 (03) : 1532 - 1545
  • [3] Direct hydrocarbon identification in shale oil reservoirs using fluid dispersion attribute based on an extended frequency-dependent seismic inversion scheme
    ZhiQi Guo
    Tao Zhang
    Cai Liu
    Petroleum Science, 2023, 20 (03) : 1532 - 1545
  • [4] Rock Physical Modeling and Seismic Dispersion Attribute Inversion for the Characterization of a Tight Gas Sandstone Reservoir
    Jin, Han
    Liu, Cai
    Guo, Zhiqi
    Zhang, Yiming
    Niu, Cong
    Wang, Di
    Ling, Yun
    FRONTIERS IN EARTH SCIENCE, 2021, 9
  • [5] Pore and Microfracture Characterization in Tight Gas Sandstone Reservoirs with a New Rock-Physics-Based Seismic Attribute
    Guo, Zhiqi
    Qin, Xiaoying
    Liu, Cai
    REMOTE SENSING, 2023, 15 (02)
  • [6] Hydrocarbon Identification and Bedding Fracture Detection in Shale Gas Reservoirs Based on a Novel Seismic Dispersion Attribute Inversion Method
    Zhiqi Guo
    Xiaodong Zhang
    Cai Liu
    Xiwu Liu
    Yuwei Liu
    Surveys in Geophysics, 2022, 43 : 1793 - 1816
  • [7] Hydrocarbon Identification and Bedding Fracture Detection in Shale Gas Reservoirs Based on a Novel Seismic Dispersion Attribute Inversion Method
    Guo, Zhiqi
    Zhang, Xiaodong
    Liu, Cai
    Liu, Xiwu
    Liu, Yuwei
    SURVEYS IN GEOPHYSICS, 2022, 43 (06) : 1793 - 1816
  • [8] Fluid identification in tight sandstone reservoirs based on a new rock physics model
    Sun, Jianmeng
    Wei, Xiaohan
    Chen, Xuelian
    JOURNAL OF GEOPHYSICS AND ENGINEERING, 2016, 13 (04) : 526 - 535
  • [9] Application of wavelet analysis in identification of tight sandstone gas reservoirs
    Shi Y.
    Pan B.
    Jiang B.
    Zhang H.
    Yang X.
    Guo Y.
    Liu D.
    Jiang, Bici (jiangbici@cctegxian.com), 1600, China University of Geosciences (41): : 2127 - 2135
  • [10] Integrated prediction of deepwater gas reservoirs using Bayesian seismic inversion and fluid mobility attribute in the South China Sea
    Luo, Yaneng
    Huang, Handong
    Yang, Yadi
    Hao, Yaju
    Zhang, Sheng
    Li, Qixin
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2018, 59 : 56 - 66