Advances in Machine Learning for Reservoir Characterization
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Description
Take a listen to an interesting discussion with #ReservoirExpert Jyoti, as she talks about Machine Learning, Deep Learning, Artificial intelligence and their use in oil and gas Industry, especially Reservoir Characterization. Explore the historical applications of machine learning in this context, understand data limitations while using machine learning in reservoir characterization, and discover innovative approaches to overcome these limitations. Tune in for insights on integrating rock physics models with deep learning to derive a robust 3D subsurface model in this episode.
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In this new podcast episode, let's explore the details of the Convolutional Neural Network (CNN) used in our workflow. #ReservoirExpert Jyoti will discuss how we utilize a synthetic catalog for CNN training and incorporate seismic and well data during transfer learning to enhance the training...
Published 01/31/24
Published 01/31/24
Stay tuned for an in-depth discussion on the challenges of limited data in Reservoir Characterization and an innovative method of using rock physics to model potential geological scenarios beneath the surface. #ReservoirExpert Jyoti will explain the process of creating a synthetic catalog,...
Published 01/09/24