Deep Recurrent Neural Networks Approach to Sedimentary Facies Classification Using Well Logs

Determination of lithofacies is one of the most important steps for reservoir characterization. Well log curves are not always sufficient to determine lithology as some times the signals are similar for different lithologies. We believe that the sequence of sedimentary patterns that follows the gene...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2022, Vol.19, p.1-5
Hauptverfasser:	Santos, Daniel Theisges dos, Roisenberg, Mauro, Nascimento, Marivaldo dos Santos
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic facies classification Bayesian analysis bidirectional long-short-term memory (BiLSTM) Biological neural networks Classification Classification (sedimentation) Computer applications Computer architecture Learning algorithms Lithofacies Lithology Long short-term memory Neural networks Recurrent neural networks recurrent neural networks (RNNs) Reservoirs Rocks Sedimentary facies sequence tolerating machine learning (ML) framework Sequencing Speech recognition Support vector machines Well logs
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