DQNN: Pore-scale variables-based digital permeability assessment of carbonates using quantum mechanism-based machine-learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Engineering,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s11431-021-1906-1.pdf
Reference42 articles.
1. Tian J, You L, Luo P, et al. Experimental investigation on liquid permeability of tight rocks under back pressure conditions. J Pet Sci Eng, 2018, 169: 421–427
2. Gomez C T, Dvorkin J, Vanorio T. Laboratory measurements of porosity, permeability, resistivity, and velocity on fontainebleau sandstones. Geophysics, 2010, 75: E191–E204
3. Ngo V T, Lu V D, Le V M. A comparison of permeability prediction methods using core analysis data for sandstone and carbonate reservoirs. Geomech Geophys Geo-Energ Geo-Resour, 2018, 4: 129–139
4. Clarkson C R, Vahedian A, Ghanizadeh A, et al. A new low-permeability reservoir core analysis method based on rate-transient analysis theory. Fuel, 2019, 235: 1530–1543
5. Tang X, Chen Z, Chu H, et al. Well testing interpretation for horizontal well with hydraulic fractures and interconnected micro-fractures. J Pet Sci Eng, 2019, 179: 546–557
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