
FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Advancements in Energy Data Analytics
This chapter explores the deployment of wells and the gathering of underground sensor data, emphasizing the transformation of geological data into spectrogram formats for enhanced decision-making in energy investments. It also highlights the use of deep learning techniques, specifically recurrent neural networks, for multi-class facies classification and the iterative nature of model development for improved predictive accuracy.
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