Synthetic Catalogue using Rock Physics Model
Listen now
Description
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, deciding on the number of scenarios, AVO modeling, and integrating the catalog with wells and seismic data using deep learning. Witness how this innovative approach of rock physics guided machine learning adds a new perspective to our interpretation, especially in exploration situations, alongside the conventional methods.
More Episodes
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
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...
Published 12/27/23