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Hydrocarbon detection for Ordovician carbonate reservoir using amplitude variation with offset and spectral decomposition

机译:利用偏移和频谱分解的振幅变化检测奥陶系碳酸盐岩油藏

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摘要

We have developed an example of hydrocarbon detection for an Ordovician cavern carbonate reservoir in western China with a burial depth exceeding 6600 m using amplitude variation with offset (AVO) and spectral decomposition. We selected six production wells, three prolific oil wells, and three brine wells to test the hydrocarbon detection method. The three oil wells have been producing for more than three years, and the three water wells only produce brine. We performed spectral decomposition to the angle gathers and analyzed amplitude variation patterns with incidence angles for different spectral components. Specifically, we compared the time corresponding to the peak spectral amplitude for different spectral components for the oil- and brine- saturated carbonate reservoirs. The main findings are as follows: (1) Oil-saturated cavern carbonate reservoirs show decreasing peak time with increasing frequency; i.e., the high-frequency components travel faster than do the low-frequency components. The maximum time difference between the 10 and 50 Hz spectral components could reach 35 ms. In contrast, the brine-saturated carbonate reservoirs do not exhibit conspicuous variation in the peak time, (2) AVO attributes extracted from the low-frequency spectral gathers are more robust than those extracted from the original seismic gathers, (3) oil-saturated cavern carbonate reservoirs cause strong energies in the low-frequency spectral components and severe attenuation to the high-frequency spectral components at large incidence angles. In contrast, the brine-saturated carbonate reservoirs do not produce such phenomenon. Rock physics analysis for carbonate reservoirs under different saturation conditions was conducted. The synthetic gathers were generated for carbonate reservoirs under oil- and brine-saturated conditions. The spectrally decomposed synthetic gathers are in agreement with the real gathers. The results indicate that AVO analysis of spectrally decomposed prestack gathers could be used as an effective hydrocarbon detection method for carbonate reservoirs.
机译:我们已经开发出了一个示例,该示例使用具有偏移的振幅变化(AVO)和光谱分解技术对中国西部奥陶纪洞穴碳酸盐岩储层的烃类探测进行了探测,其埋深超过6600 m。我们选择了六口生产井,三口多产油井和三口盐水井来测试碳氢化合物的检测方法。三个油井已经生产了三年多,而三个水井仅生产盐水。我们对角度集合进行了频谱分解,并针对不同频谱分量分析了具有入射角的幅度变化模式。具体来说,我们比较了油和盐水饱和碳酸盐岩储层不同光谱成分对应于峰值光谱幅度的时间。主要研究结果如下:(1)含油溶洞碳酸盐岩油藏峰值时间随频率增加而减小;即,高频成分的传播速度比低频成分的传播速度快。 10和50 Hz频谱分量之间的最大时间差可能达到35 ms。相比之下,饱和盐水的碳酸盐岩储层在峰值时间没有明显的变化,(2)从低频频谱道集提取的AVO属性比从原始地震道集提取的AVO属性更健壮,(3)石油饱和的洞穴碳酸盐岩储层在低频频谱分量中产生强大的能量,并在大入射角时严重衰减高频频谱分量。相反,饱和盐水的碳酸盐储层不会产生这种现象。对不同饱和度条件下的碳酸盐岩储层进行了岩石物理分析。在油和盐水饱和的条件下,为碳酸盐岩储层生成了合成的道集。经光谱分解的合成集气与真实集气一致。结果表明,光谱分解叠前道集的AVO分析可以作为碳酸盐岩储层的有效烃探测方法。

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