Jianhuan Yao

Research Institute of Petroleum Exploration and Development

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Xianggang Duan

Research Institute of Petroleum Exploration and Development

Qiuyan Li

Huazhong Agricultural University

Shangwen Zhou

Research Institute of Petroleum Exploration and Development

Yingying Xu

Research Institute of Petroleum Exploration and Development

Lu Chen

Chinese Academy of Sciences

Jin Chang

Institute of High Energy Physics

Zhiming Hu

BYD (China)

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Research Institute of Petroleum Exploration and Development

Chinese Academy of Sciences

Institute of Porous Flow and Fluid Mechanics

University of Chinese Academy of Sciences

Oil and Gas Center

China National Petroleum Corporation (China)

China University of Petroleum, Beijing

Nanjing Institute of Geography and Limnology

Institute of Solid State Physics

Huazhong Agricultural University

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

Energy & Fuels (2021)

Xianggang Duan Zhiming Hu Jianhuan Yao Lu Chen Jin Chang

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.

Shale Gas

Gaseous diffusion

10.1021/acs.energyfuels.1c01361

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