Editorial to the Special Issue: Multi-Scale and Multi-Physics Processes in Geological Systems with Fractured Porous Media
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Chemical Engineering,Catalysis
Link
https://link.springer.com/content/pdf/10.1007/s11242-023-01974-w.pdf
Reference14 articles.
1. Chen, Z., et al.: A deep learning-based surrogate model for pressure transient behaviors in shale wells with heterogeneous fractures. Transp. Porous Media 1–27 (2022)
2. Demirer, E., et al.: Improving the performance of reactive transport simulations using artificial neural networks. Transp. Porous Media 1–27 (2022)
3. Li, B.: Modeling of shale gas transport in multi-scale complex fracture networks considering fracture hits. Transp. Porous Media 1–16 (2022)
4. Li, W., Huang, Z., Dai, X.: Flow and heat transfer of liquid nitrogen in rock pores based on lattice Boltzmann method. Transp. Porous Media 1–35 (2022)
5. Li, D., et al.: Prediction of shale gas production by hydraulic fracturing in changning area using machine learning algorithms. Transp. Porous Media 1–16 (2023)
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