首页> 外文期刊>Journal of Seismic Exploration >OPTIMIZING SCHEMES OF FREQUENCY-DEPENDENT AVO INVERSION FOR SEISMIC DISPERSION-BASED HIGH GAS-SATURATION RESERVOIR QUANTITATIVE DELINEATION
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OPTIMIZING SCHEMES OF FREQUENCY-DEPENDENT AVO INVERSION FOR SEISMIC DISPERSION-BASED HIGH GAS-SATURATION RESERVOIR QUANTITATIVE DELINEATION

机译:优化基于地震色散的高气饱和储层定量描绘的频率依赖性AVO反转方案

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摘要

Previous works demonstrate that dispersion properties can be deduced fromfrequency-dependent AVO inversion (FDAI). The optimal selection ofdispersion-related fluid factors is of great importance to improve the accuracy of fluididentification. In order to quantitatively delineate the reservoir with high gas saturation,we propose an optimal scheme of FDAI to pursue the optimal dispersion factor which isthe most sensitive to the high gas saturation reservoir. First, within the seismic frequencyband, we construct an objective function to determine the optimal reference frequencyby using the dispersion factors calculated from the pre-stack seismic data nearbyborehole. Then, we can directly get the optimal dispersion factor related to gas-saturatedreservoir according to the fluid indication coefficient. At last, we apply optimalparameters to calculate the dispersion results for seismic data volume. Numericalanalysis indicates that the dispersion degree of fluid-saturated reservoir shows anapproximate linear increase characteristic with increasing gas saturation. It provides anevidence for the delineation of high gas-saturation reservoirs by using the dispersionanomalies. The seismic field data results illustrate that the dispersion factors inverted bythe optimal reference frequency can highlight the dispersion anomalies of gas-saturatedreservoirs. Meanwhile, the optimal dispersion factor can delineate the reservoirs withhigh gas-saturation more accurate while less affected by the background interference ofelastic layers than conventional methods. The proposed optimal workflow can improvethe accuracy of FDAI and it is feasible to detect the location and spatial distribution ofhigh gas-saturation reservoirs.
机译:以前的作品表明可以推导出分散性质频率依赖的AVO反转(FDAI)。最佳选择不同的流体因子是重视提高液体的准确性鉴别。为了定量地描绘储层具有高气体饱和度,我们提出了FDAI的最佳方案,以追求最佳的分散因素高气体饱和储层最敏感。首先,在地震频率内频段,我们构建一个目标函数来确定最佳参考频率通过使用从附近的堆叠前地震数据计算的分散因子钻孔。然后,我们可以直接获得与气体饱和的最佳分散因子贮存器根据流体指示系数。最后,我们申请最佳参数计算地震数据量的分散结果。数号分析表明流体饱和储层的分散度显示了一个随着气体饱和度的近似线性增加特性。它提供了一个使用分散体划分高气饱和储层的证据异常。地震场数据结果说明了分散因子反转最佳参考频率可以突出气体饱和的分散异常水库。同时,最佳分散因子可以用储存器描绘高气体饱和度更准确,而受背景干扰的影响较小弹性层比常规方法。建议的最佳工作流程可以改善FDAI的准确性和检测位置和空间分布是可行的高气体饱和储层。

著录项

  • 来源
    《Journal of Seismic Exploration》 |2020年第2期|173-199|共27页
  • 作者单位

    State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation Chengdu University of Technology 1 Erxianqiao Dongsan Road Chengdu Sichuan 610059 P.R. China Key Lab of Earth Exploration and Information Techniques Chengdu University of Technology 1 Erxianqiao Dongsan Road Chengdu Sichuan 610059 P.R. China;

    State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation Chengdu University of Technology 1 Erxianqiao Dongsan Road Chengdu Sichuan 610059 P.R. China Key Lab of Earth Exploration and Information Techniques Chengdu University of Technology 1 Erxianqiao Dongsan Road Chengdu Sichuan 610059 P.R. China;

    Data Processing Company Geophysical-China Oilfield Services Limited #788 Nantiao Road Zhanjiang Guangdong 524057 P.R. China;

    Key Lab of Earth Exploration and Information Techniques Chengdu University of Technology 1 Erxianqiao Dongsan Road Chengdu Sichuan 610059 P.R. China;

    Key Lab of Earth Exploration and Information Techniques Chengdu University of Technology 1 Erxianqiao Dongsan Road Chengdu Sichuan 610059 P.R. China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    frequency-dependent AVO inversion; dispersion factor; optimal selection; gas saturation; reservoir delineation;

    机译:频率依赖性AVO反转;分散因子;最佳选择;气体饱和度;水库描绘;

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