Integrating Rock Physics Model with Convolutional Neural Network

#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 discuss about the future, what more do the researchers have in their mind to further improve the technology in coming times.

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 process. This episode aims to help you understand the value addition from the technology advancements, particularly in the exploration field where well control is limited.

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.

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.

Join us for an enlightening discussion with #ReservoirExpert Akash as he takes a closer look at Seismic Petrophysics, examining its fundamental components and the crucial steps required to perform it accurately.   In this presentation, we'll unravel the intricacies of the Seismic Petrophysics workflow, offering insights into how it seamlessly integrates into our overarching Petrophysics and Rock Physics framework.   You’ll gain a deeper understanding of Seismic Petrophysics in the subsurface rock properties, making it a valuable learning for anyone interested in the intersection of seismic data and petrophysical analysis

Stay tuned with us as we start by addressing a fundamental question: What is the essence of Rock Physics, and how does it seamlessly align with the integrated workflow we've been exploring? #ReservoirExpert Akash will walk you through the essential step-by-step guide for a Rock Physics modeling exercise, ensuring you leave with practical insights and knowledge. Don't miss this opportunity to gain deeper insights into Rock Physics and its intriguing models in this thought-provoking conversation.

In the dynamic world of geoscience, delivering accurate results is essential. Join us in this insightful podcast as we explore into the practical and essential techniques for rock physics modeling. As geoscientists, understanding the correct workflows is vital for successful Quantitative Interpretation (QI) projects. This talk will provide you with valuable insights and step-by-step guidance to ensure precision and reliability in your rock physics modeling. Whether you're new to the field or seeking to enhance your expertise, this discussion is a must for anyone striving to excel in the realm of geophysical science.