强压缩应力下深层碎屑岩储层气体饱和度计算模型的优化

Long Yuan, Haining Zhang, Yuan Cao, Junpeng Yao, Shaocheng Luo
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摘要

受强烈挤压应力作用的深层碎屑岩储层的气体饱和度解释模型主要依赖于岩石物理实验数据和扩展的阿奇方程。然而,这些方法可能无法始终获得最佳结果。具体来说,当地下压力对地层电阻率产生影响时,所产生的曲线值会大幅升高,从而导致从电阻率测井数据中精确估算气体饱和度时出现重大误差。因此,测井解释的评估工作变得十分复杂。本文旨在从电学和力学角度全面评估深层碎屑岩储层的气体饱和度。为了实现这一目标,我们采用了一种包括 Archie 公式、应力校正可变固结指数饱和度模型和电阻率校正饱和度模型在内的多元方法。通过严格的理论分析和利用模拟实验数据,建立了电阻率与应力差之间的定量关系式。在此基础上,提出了一种创新的电阻率校正饱和度计算模型。与两种替代模型相比,新模型受挤压应力和重力压实的影响较小,因此在计算气体饱和度方面表现出更高的准确性。此外,在确定气体饱和度方面,它与岩心水银注入毛细管压力数据的一致性更好。这项研究的结果为有效评估深层碎屑岩储层提供了宝贵的见解,为面对复杂的地质和地球物理挑战推进对气体饱和度的理解提供了一个强大的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of gas saturation calculation model for deep clastic reservoirs under strong compression stress
The interpretation model for gas saturation in deep clastic reservoirs subject to intensive extrusion stress relies predominantly on experimental petrophysical data and the expanded Archie equation. Nonetheless, these methodologies may not consistently yield optimum results. Specifically, when subsurface pressure impacts formation resistivity, the resulting curve values exhibit substantial elevations, leading to significant inaccuracies in the precise estimation of gas saturation from resistivity logging data. Consequently, the evaluation of logging interpretations becomes a complex undertaking. This paper aims to comprehensively assess gas saturation in deep clastic reservoirs from both electrical and mechanical perspectives. To achieve this goal, we employ a multifaceted approach encompassing the Archie formula, the stress-corrected variable cementation index saturation model, and the resistivity-corrected saturation model. Through rigorous theoretical analysis and the utilization of simulated experimental data, a quantitative relationship equation between resistivity and stress difference has been established. Building upon this fundamental groundwork, an innovative resistivity-corrected saturation calculation model has been proposed. In comparison to the two alternative models, the new model exhibits enhanced accuracy in calculating gas saturation, as it is less influenced by extrusion stress and gravitational compaction. Furthermore, it demonstrates better consistency with core mercury injection capillary pressure data in determining gas saturation. The findings of this research provide valuable insights for the effective evaluation of deep clastic reservoirs, offering a robust framework for advancing the understanding of gas saturation in the face of complex geological and geophysical challenges.
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