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Estimation of pore pressure and oil saturation changes in the reservoir using petro-elastic modeling and 4D AVO inversion attributes in the Ravva field

机译:利用雷瓦田的石油弹性建模和4D AVO反演属性估算储层中孔隙压力和油饱和变化的估算

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A 4D seismic survey was carefully planned, executed and interpreted on the Ravva Field. Geoscience and 4D seismic studies carried out on the field have provided key information that defines fault compartments, position of the current OWC and reveals potential undrained areas. The 4D seismic data has been used to optimize sub-surface targets, and underpinned Cairn India's 2010-11 infill drilling campaign, which was instrumental in arresting the production decline in the field. The infill drilling results, as well as on-going dynamic reservoir surveillance programs are in line with 4D interpretations. All these results are being used to up-date the reservoir model for optimal reservoir management and development. The 4D response in Ravva Field is result of a combination of changes in fluid saturation and pore pressures and hence requires discrete separation of the pressure and saturation components of the 4D effect to enable quantitative interpretation. A 4D simultaneous AVO inversion was carried out using base and monitor datasets to derive the quantifiable elastic property changes in the reservoir. In this paper, we will first discuss the initial 4D interpretation results, the pitfalls of 4D interpretation based on AI - Vp/Vs domain and the importance of pressure and saturation decoupling from the 4D signal in order to identify bypassed oil areas. Next, we will discuss the methodology of decoupling of 4D signal using petro-elastic model and 4D inversion volumes and finally we will show the estimated saturation sections and maps portraying the water flooding signature in the flank side of the structure and undrained areas in the crestal portion.
机译:在Ravva领域仔细计划,执行和解释了4D地震调查。在该领域进行的地球科学和4D地震研究提供了定义故障隔室,当前OWC的位置并揭示潜在的未接触区域的关键信息。 4D地震数据已被用于优化子地面目标,并提高Cairn India 2010-11填充钻探运动,这是逮捕该领域的生产下降的工具。填充钻探结果以及正在进行的动态储层监控程序符合4D解释。所有这些结果都用于上限储层模型,以获得最佳的水库管理和发展。 RAVVA领域的4D响应是流体饱和度和孔隙压力的变化的组合,因此需要离散分离4D效应的压力和饱和分量,以实现定量解释。使用基部和监视数据集进行4D同时避平反转,以导出储存器中的可量化的弹性性能变化。在本文中,我们将首先讨论初始的4D解释结果,基于AI - VP / VS域的4D解释的陷阱以及从4D信号去耦的重要性,以识别绕过油区域。接下来,我们将使用石油 - 弹性模型和4D反转卷讨论4D信号去耦的方法,最后我们将展示估计的饱和部分和地图描绘了壁球场中结构和未造成的侧面侧的水淹签名部分。

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