在二氧化碳封存过程中精确测量有光泽砂岩中流体饱和度的新方法

Jidong Gao, Bin Yuan, Wei Zhang, Hongbin Zhang
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摘要

准确监测流体饱和度对于防止二氧化碳封存过程中的指状或渗漏至关重要。由于难以测试页岩砂岩的胶结系数,用阿奇方程评估这类储层的流体饱和度可能会有很大偏差。本研究根据最佳传导途径原则,对 Rhoades 毛细管束模型和 Waxman-Smits 平行模型的粘土传导相和胶结指数进行了修改。我们使用两种不同的传导模型和岩石孔隙中的流体运移系数来修改胶结系数。我们对不同的传导模型进行了比较,并通过现场二氧化碳封存监测数据的拟合对其进行了完善。我们分析了参数变化对电导率和饱和度的影响,并验证了方程的准确性。结果发现,与双水模型的电导率相比,修正模型的相对误差为 10.76%。有鳞砂岩储层的特点是粘土-水膨胀现象,粘土电导率占总电导率的主要部分。水相传输和电导率的变化可分为两个阶段。在第一阶段,电导率迅速上升,而在第二阶段,电导率以线性方式逐渐上升。在页岩砂岩储层中,修正模型的相对误差为 5.44%。饱和度计算精度的提高可以防止现场工程师出现测量误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Method for Accurate Measurement of Fluid Saturation in Shaly Sandstone During CO2 Sequestration
Accurate monitoring of fluid saturation is crucial for preventing fingering or leakage during CO2 sequestration. Due to the difficulty in testing the cementation factor of shaly sandstone, the evaluation of fluid saturation in such reservoirs by the Archie equation may be significantly biased. This study presents modifications to the Rhoades capillary bundle model and the Waxman-Smits parallel model for the clay conductivity phase and cementation exponent, based on the principle of the best conduction pathway. we use two different conductivity models and fluid transport coefficients in rock pores to modified the cementation coefficient. We compare different conductivity models and refine them by fitting them to on-site CO2 storage monitoring data. We analyze the impact of parameter variations on conductivity and saturation, and verify the accuracy of the equation. It is found that the relative error of the modified model is 10.76% compared with the conductivity of the dual-water model. Shaly sandstone reservoirs are characterized by clay-water expansion phenomena, with clay conductivity comprising the predominant fraction of total conductivity. The variation in water phase transmission and conductivity can be divided into two phases. In the first phase, conductivity experiences a rapid increase, while in the second phase, it rises gradually in a linear fashion. In shaly sandstone reservoirs, the relative error of the modified model is 5.44%. The enhanced accuracy in saturation calculations serves as a safeguard against measurement errors by on-site engineers.
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