Reservoir Porosity Construction Based on BiTCN-BiLSTM-AM Optimized by Improved Sparrow Search Algorithm

To evaluate reservoir porosity accurately, a method based on the bidirectional temporal convolutional network (BiTCN), bidirectional long short-term memory network (BiLSTM), and attention mechanism (AM) optimized by the improved sparrow search algorithm (ISSA) is proposed. Firstly, the sparrow searc...

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Veröffentlicht in:	Processes 2024-09, Vol.12 (9), p.1907
Hauptverfasser:	Qiao, Lei, Gao, Haijun, Cui, You, Yang, Yang, Liang, Shixin, Xiao, Kun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Evolutionary algorithms Evolutionary computation Long short-term memory Machine learning Normal distribution Porosity Probability distribution Reservoirs Search algorithms Time series
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