CycleGAN For Seismic Inversion: A Deep Learning Approach Using Only Few Examples

Today's topic is AI-based seismic impedance inversion and I’ll show how advanced neural network architecture gives better results than model-based and data-driven inversions on limited datasets. 📓 Resources: Seismic impedance inversion based on cycle-consistent generative adversarial network https://www.sciencedirect.com/science/article/pii/S1995822621000868 BE MY FRIEND: 🌎 My website/blog - https://ruslanmiftakhov.com/ 🪢 LinkedIn - https://www.linkedin.com/in/ruslan-miftakhov/ WHO AM I: I am Chief Technical Officer at a software company that develops AI/ML solutions for the Oil and Gas sector. I am passionate about AI and its application in Oil and Gas. For many years, I have been developing and launching solutions based on AI for various aspects of geoscience and petroleum engineering. I make videos about Deep Learning and Machine Learning applications within Oil and Gas. LEARN AI/ML IN O&G WITH ME