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Keywords: lstm prediction
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208394-MS
... time series in tight reservoirs due to changes in flow regimes. machine learning upstream oil & gas information neural network physics-constrained prediction artificial intelligence schmidhuber production forecast lstm prediction low noise boundary noise physics-constrained model...

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