Advances in Machine Learning for Reservoir Characterization -

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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Challenges, Expectations & Delivery in Petroleum Geoscience

#ReservoirExpert Jon and Tanya will talk about the need for this novel approach of rock physics guided machine learning, how it initially started, how they converted the idea into technology as well as their experience in using the technology across various geological settings. We will also...

Published 08/21/24

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Integrating Rock Physics Model with Convolutional Neural Network

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