Unlock the secrets of rock physics and seismic reservoir characterization in this captivating podcast. Prepare to be amazed as we explore deep into the fascinating world of geology, seismic explorations and the power of machine learning. Join us as we demystify complex concepts, share groundbreaking research, and provide practical insights that will revolutionize your understanding. Whether you're a seasoned professional or a curious enthusiast, this podcast is your gateway to unlocking a wealth of knowledge.
Rocking Reservoir Waves
Claim This Podcastby GeoSoftware Far East
5.0(6 reviews)
7 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇬🇧
Podcast Overview
Unlock the secrets of rock physics and seismic reservoir characterization in this captivating podcast. Prepare to be amazed as we explore deep into the fascinating world of geology, seismic explorations and the power of machine learning. Join us as we demystify complex concepts, share groundbreaking research, and provide practical insights that will revolutionize your understanding. Whether you're a seasoned professional or a curious enthusiast, this podcast is your gateway to unlocking a wealth of knowledge.
Language
🇺🇲
Publishing Since
11/2/2023
1 verified contact email on file for Rocking Reservoir Waves
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
August 21, 2024
Challenges, Expectations & Delivery in Petroleum Geoscience
<p><em>#ReservoirExpert</em> 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.</p> <p>We will also discuss about the future, what more do the researchers have in their mind to further improve the technology in coming times.</p>
January 31, 2024
Integrating Rock Physics Model with Convolutional Neural Network
<p>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. </p>
January 9, 2024
Synthetic Catalogue using Rock Physics Model
<p>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.</p> <p>#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.</p> <p>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.</p>
7 total episodes available
Deep-dive analytics for Rocking Reservoir Waves
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Rocking Reservoir Waves?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 6 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.