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首页> 外文期刊>Journal of Petroleum Science & Engineering >Building a rock physics model for the formation evaluation of the Lower Goru sand reservoir of the Southern Indus Basin in Pakistan
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Building a rock physics model for the formation evaluation of the Lower Goru sand reservoir of the Southern Indus Basin in Pakistan

机译:建设巴基斯坦南部甘肃砂水库的形成评价岩石物理模型

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The geological factors of any reservoir, such as porosity, lithology, and fluid characteristics, control the rock physics models. Several retrospective studies have discussed the methods of discriminating and calculating these geological factors in the Lower Goru sand reservoir. Therefore, it is imperative to build the best-modified suitable rock physics model and template to diagnose an inadequately consolidated reservoir that has been previously overlooked. For the purpose, the research evaluates a dataset of five wells to develop a modified rock physics model and template for a Lower Goru sand reservoir in Pakistan. The study compares and evaluates different rock physic models such as Stiff sand, Friable-sand, Greenberg and Castagna, and Raymer's model to calibrate the best model, which would comprehensively assist the future researchers. According to the results, Stiff sand is quite a suitable rock physics model. Furthermore, the rock physics template (RPT) is utilized to test the reliability of the predicted model that is helpful for the formation evaluation, reservoir characterization, and prospect evaluation across different fields of the Lower Goru sand reservoir. The predicted model can be further used to estimate porosity from the seismically derived impedance in the entire Lower Goru sand reservoir, Pakistan, and worldwide which has the same geological trends and reservoir distribution.
机译:任何储层的地质因素,如孔隙率,岩性,流体特性,控制岩石物理模型。几种回顾性研究已经讨论了鉴别和计算下戈鲁砂储层中这些地质因素的方法。因此,必须建立最佳修改的合适的岩石物理模型和模板,以诊断以前忽略的综合水库。为此,研究评估了五个井的数据集,为巴基斯坦的下戈鲁砂水库开发改进的岩石物理模型和模板。该研究比较和评估了不同的岩石物理模型,如僵硬的砂,砂,砂,格林伯格和Castagna,以及Raymer模型,以校准最佳模型,这将全面协助未来的研究人员。根据结果​​,僵硬的沙子是合适的岩石物理模型。此外,利用岩石物理模板(RPT)来测试预测模型的可靠性,这些模型有助于在较低戈卢砂水库的不同领域的形成评估,储层表征和展望评估。预测模型可以进一步用于估计来自整个下戈鲁砂藏,巴基斯坦和全球的地震源性阻抗的孔隙率,其具有相同的地质趋势和储层分布。

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