基于物理的综合建模和微流体学,用于量化岩石中的多相碳酸盐溶解
Junyoung Hwang1, Siqin Yu1, Cynthia M Ross1
1Department of Energy Science and Engineering, Stanford University, Stanford, USA. ibattiat@stanford.edu.
Lab on a chip
|August 29, 2025
概括
碳酸岩的酸性溶解是能源应用的关键. 这项研究表明,二氧化碳气泡显著降低溶解速度,这是多相流量建模的关键发现.
科学领域:
- 地质化学和材料科学
- 多相流动性
- 化学工程
背景情况:
- 碳酸化合物的酸性溶解对于能源转换和工程应用至关重要.
- 溶解动力学是复杂的,受流量,矿物学和二氧化碳气泡生产的影响,产生多相系统.
- 量化碳酸盐溶解速率的多相流量效应在实验上是具有挑战性的.
研究的目的:
- 使用微流体装置在单相和多相流条件下研究碳酸盐溶解.
- 量化二氧化碳气泡形成对有效反应速率的影响.
- 开发和验证基于机器学习的分析溶解动态的方法.
主要方法:
- 使用含有碳酸盐的岩石样本的微流体装置.
- 采用高速成像和基于机器学习的图像细分用于可视化和量化.
- 结合ML分析与基于物理的建模来确定反应速率.
主要成果:
- 验证了单相碳酸盐溶解的第一阶级反应速率定律.
- 在多相条件下,由于二氧化碳气体屏蔽,有效溶解率下降了一级.
- 确定了导致气泡核和生长的多孔层的岩石异质性.
结论:
- 目前的模型无法捕捉气体屏蔽对多相流程有效反应速率的影响.
- 石灰岩溶解的概念模型需要修订,以考虑气体屏蔽和岩石异质性.
- 这些发现对于精确建模能源应用中的地下过程至关重要.
相关概念视频
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