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Amplitude variation with offset (AVO) analysis via fluid replacement modeling (FRM) for characterizing the reservoir response of Cretaceous sand interval

机译:通过流体替换建模(FRM)具有偏移(AVO)分析的幅度变化,用于表征白垩纪沙子间隔的储层响应

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The reservoir pore fluid at various saturation levels can be modeled and analyzed through fluid replacement modeling (FRM) by applying Gassmann's theory. The FRM technique was applied to a gas-prone reservoir (Cretaceous C-sand interval) of the Lower Goru Formation in the Sawan gas field, Middle Indus Basin, Pakistan. 3D post-stack seismic data and wireline log data of two exploration wells (Sawan-01 and Sawan-08) were utilized in the study. The petrophysical analysis of wells was carried out to initially predict the gas-bearing zones of the reservoir interval at well locations, and later on to predict areas away from the well through seismic to well tie. The amplitude variation with offset (AVO) behavior was analyzed by replacing the in situ fluid saturation level with a modeled 80% gas and 20% water saturation in the reservoir. The elastic properties of the reservoir sand were estimated through rock physics based on Gassmann equations. The AVO response under both in situ and FRM conditions indicated that the reservoir gas sand exhibits a typical class Ⅳ signature. The increase of reflection amplitude with angle in FRM synthetic gathers showed AVO sensitivity to changes in fluid type and saturation. The change in reservoir parameters with a change in fluid saturation levels and their AVO response was well-captured in the analysis for effective identification of lithology and fluid concentration in the reservoir. Moreover, the methodology followed in this study will be helpful for better characterizing hydrocarbon-bearing reservoirs within the study region and in various other parts of the world.
机译:通过应用Gassmann的理论,可以通过液体替换模拟(FRM)来建模和分析各种饱和水平的储层孔流体。将FRM技术应用于Sawan气田,中间植物,巴基斯坦中间戈卢地区的气体易发储层(白垩纪C沙子间隔)。 3D在研究中使用了两种勘探井(Sawan-01和Sawan-08)的堆栈后地震数据和有线日志数据。进行了井的岩石物理分析,最初预测井位置的储层间隔的含气区,后来预测通过地震到良好的良好良好的区域远离井的区域。通过用模拟的80%气体和贮存器中的20%水饱和来分析具有偏移(AVO)行为的振幅变化(AVO)行为。基于Gassmann方程的岩石物理估计储层砂的弹性性能。在原位和FRM条件下的AVO响应表明,储层气体砂表现出典型的ⅳ签名。与FRM合成填充角度的反射幅度的增加表明,对流体类型和饱和度的变化显示了AVO敏感性。在分析中,在分析中占据了流体饱和水平的变化及其抗血液响应的储层参数的变化,以有效识别储层中岩性和流体浓度的分析。此外,本研究中遵循的方法将有助于更好地表征研究区域内的碳氢化合物储层和世界各种各样的地区。

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