Fluid Discrimination Based on Frequency-Dependent AVO Inversion with the Elastic Parameter Sensitivity Analysis
Fluid Discrimination Based on Frequency-Dependent AVO Inversion with the Elastic Parameter Sensitivity Analysis
复制标题
基于频变AVO反演弹性参数敏感性分析的流体判别
DOI：
10.1155/2019/8750127
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发表时间：
2019
期刊：
影响因子：
1.7
通讯作者：
Wang Benfeng
中科院分区：
文献类型：
--
作者：
Wang Pu;Li Jingye;Chen Xiaohong;Wang Kedong;Wang Benfeng
流体判别是地震资料解释中极为重要的一部分。它对于含油气藏的精细化描述具有重要作用。基于Zoeppritz方程的常规AVO反演在岩性预测和流体判别方面显示出潜力；但没有充分考虑孔隙流体引起的色散和衰减。不同频率相关的 AVO 方程中色散项之间的关系尚未讨论。遵循Chapman的论证，详细分析了孔隙流体对弹性参数的影响。我们发现Russell流体因子、Lamé参数和体积模量的色散和衰减比纵波模量更明显。其中罗素流体因素最为突出。基于频率相关的AVO反演，推导了这些参数的不同色散项的统一表达式。然后，将纵波差值与色散项相结合，得到新的纵波差值色散因子，与色散项相比，该因子可以更好地识别含气储层位置。现场数据应用还表明，Russell流体因子的离散项在识别流体方面是最优的。然而，如果与干岩相关的权重参数取值不当，Russell流体因子的离散项可能会不理想。然后对该参数进行研究，提出合理的设置范围。本文的研究结果对于含烃岩石中的流体判别具有一定的参考价值。
Fluid discrimination is an extremely important part of seismic data interpretation. It plays an important role in the refined description of hydrocarbon‐bearing reservoirs. The conventional AVO inversion based on Zoeppritz’s equation shows potential in lithology prediction and fluid discrimination; however, the dispersion and attenuation induced by pore fluid are not fully considered. The relationship between dispersion terms in different frequency‐dependent AVO equations has not yet been discussed. Following the arguments of Chapman, the influence of pore fluid on elastic parameters is analyzed in detail. We find that the dispersion and attenuation of Russell fluid factor, Lamé parameter, and bulk modulus are more pronounced than those of P‐wave modulus. The Russell fluid factor is most prominent among them. Based on frequency‐dependent AVO inversion, the uniform expression of different dispersion terms of these parameters is derived. Then, incorporating the P‐wave difference with the dispersion terms, we obtain new P‐wave difference dispersion factors which can identify the gas‐bearing reservoir location better compared with the dispersion terms. Field data application also shows that the dispersion term of Russell fluid factor is optimal in identifying fluid. However, the dispersion term of Russell fluid factor could be unsatisfactory, if the value of the weighting parameter associated with dry rock is improper. Then, this parameter is studied to propose a reasonable setting range. The results given by this paper are helpful for the fluid discrimination in hydrocarbon‐bearing rocks.