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Keywords: machine learning
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Proceedings Papers

Paper presented at the Symposium on Mechanics of Rheologically Complex Fluids, December 15–16, 1966
Paper Number: SPE-1689-MS
.... Zurmiihl, R.: Matrizen und ihre technischen Andwendungen, 3rd Ed., Springer-VerLag, Berlin (l96l]. deformation rate Miller Goddard sequence Artificial Intelligence rivlin tensor first-order fluid model machine learning relation particle functional expansion matrizant expression higher...
Proceedings Papers

Paper presented at the Symposium on Mechanics of Rheologically Complex Fluids, December 15–16, 1966
Paper Number: SPE-1684-MS
...] 2, 831. Artificial Intelligence porous medium tensor machine learning Fluid Dynamics particle quantity ellis model fluid Upstream Oil & Gas power-model fluid average velocity viscoelastic fluid dependence Ellis model porous structure flow in porous media transformation...
Proceedings Papers

Paper presented at the Symposium on Mechanics of Rheologically Complex Fluids, December 15–16, 1966
Paper Number: SPE-1690-MS
...% Polyisobutylene 1O2 LoI2o_P~o_l~ys_t~yr_e~n_e_ 10° 101 102 103 104 K{sec- 1) Fig. 11 - Comparison of Zapas' Form of the BKZ Theory with Normal Stress Data chemical flooding methods Artificial Intelligence BKZ theory production control Reservoir Surveillance linear dynamic data machine learning enhanced...

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