在有机丰富的页岩中实证地确定有效固体模量
K Larkin Spires1, John P Castagna2, Sheyore John Omovie2
1University of Houston, Houston, TX, 77004, USA. klspires@cougarnet.uh.edu.
Scientific reports
|October 26, 2023
概括
一个新的岩石物理模型改善了在有机丰富的页岩中和体积模块的预测. 半经验性的布朗-科林加模型提供了比加斯曼更好的准确性.
科学领域:
- 岩石物理 岩石物理
- 地质物理学 地质物理学
- 材料科学是一种材料科学.
背景情况:
- 准确计算和散装模量对于水库的表征至关重要.
- 不同质的岩石,如有机丰富的页岩,由于固体模块的广泛变化而带来挑战.
- 现有的模型可能会在预测流体替换的散装模量变化时引入不确定性.
研究的目的:
- 开发和验证异质岩石,特别是有机页岩的半经验性岩石物理模型.
- 为了提高在流体替代过程中和散体模量变化的预测.
- 将新模型的性能与加斯曼方程进行比较.
主要方法:
- 用布朗-科林加方程对矿物学上异质的岩石进行分析.
- 引入了三个参数:孔隙压缩能力,干燥框架压缩能力和有效固体模量位置.
- 在七个有机页岩层中优化了参数,并进行了液体替代以达到100%的盐水和度.
主要成果:
- 对于有效的固体材料模量而言,Reuss 结合提供了最适合高有机含量页岩的材料.
- 加斯曼方程与希尔平均值的结果与布朗-科林加模型对有机物质<5%的结果相似.
- 半经验性的布朗-科林加模型在较高的有机含量水平下显示出更高的准确性.
结论:
- 开发的半经验模型增强了复杂页岩构造中和散体模量预测的能力.
- 该模型的准确性超过了具有显著有机含量的页岩中的加斯曼方程.
- 这种方法减少了对有机丰富的页岩储属性估计的不确定性.
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