页岩储层中气体的表观扩散系数及其扩散行为的洞察：建模和实验研究,Energy & Fuels

当前位置： X-MOL 学术 › Energy Fuels › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

页岩储层中气体的表观扩散系数及其扩散行为的洞察：建模和实验研究
Energy & Fuels ( IF 5.2 ) Pub Date : 2021-08-02 , DOI: 10.1021/acs.energyfuels.1c01361
Xianggang Duan ₁ , Zhiming Hu ₁ , Jianhuan Yao ₁ , Lu Chen ₂ , Jin Chang ₁ , Qiuyan Li ₃ , Shangwen Zhou ₁ , Yingying Xu ₂

Affiliation

扩散在页岩基质的天然气生产中起着重要作用。为确定微/纳米孔隙中的气体扩散机制，解决页岩储层中气体扩散能力的定量描述难题，推导了考虑流体粘度的微分动量方程，以及考虑页岩孔隙度的表观扩散系数模型，曲折，克努森数成立。为验证所提出模型的可靠性而进行的扩散能力测试实验是由我们的研究小组创建的。结果表明，由于考虑了上述关键参数，新的表观扩散系数更好地反映了页岩气的扩散能力。表观扩散系数与压力呈负相关，与孔径呈正相关。对于平均储层压力小于 5 MPa 的 nD 渗透性储层，扩散对流速的贡献超过 80%。总之，利用所提出的扩散模型可以实现给定储层条件下页岩气扩散流量的定量计算以及对扩散对不同阶段流动贡献的理解。有望为及时调整生产系统、提高单井产量奠定科学基础。使用所提出的扩散模型可以实现给定储层条件下页岩气扩散流的定量计算以及对扩散对不同阶段流动贡献的理解。有望为及时调整生产系统、提高单井产量奠定科学基础。使用所提出的扩散模型可以实现给定储层条件下页岩气扩散流的定量计算以及对扩散对不同阶段流动贡献的理解。有望为及时调整生产系统、提高单井产量奠定科学基础。

"点击查看英文标题和摘要"

Apparent Diffusion Coefficient of Gas in Shale Reservoirs and Insights into Its Diffusion Behavior: A Modeling and Experimental Study

Diffusion plays an important role in gas production from a shale matrix. To determine the gas diffusion mechanism in micro-/nanopores and to tackle the difficult problem of the quantitative description of the gas diffusion capacity in shale reservoirs, a differential momentum equation considering fluid viscosity is derived, and an apparent diffusion coefficient model considering shale porosity, tortuosity, and Knudsen number is built. The diffusion ability testing experiment carried out to verify the reliability of the proposed model is created by our research group. The results indicate that the new apparent diffusion coefficient better captures the diffusion capacity of shale gas owing to the consideration of the aforementioned key parameters. The apparent diffusion coefficient is negatively correlated with pressure but positively correlated with the pore diameter. For the nD permeability reservoirs when the average reservoir pressure is less than 5 MPa, the contribution of diffusion to the flow rate is more than 80%. In summary, the quantitative calculation of shale gas diffusion flow under given reservoir conditions and the understanding of the contribution of diffusion to flow at different stages can be achieved with the proposed diffusion model. Scientific foundations for timely production system adjustment and single-well yield enhancement are, thereby, expected to be laid.

更新日期：2021-08-19

点击分享查看原文

点击收藏

阅读更多本刊新发论文本刊介绍/投稿指南