Taking Seismic Geomorphology To The Next Level With Machine Learning

Taking Seismic Geomorphology to the next level with Machine Learning

SEG

GeoSeminar: Seismic facies characterization using Machine Learning techniques

GeoLatinas: Latinas in Earth and Planetary Sciences

Seismic signal detection using machine learning

Sustainability Geophysics Project

Breaking Boundaries in Geophysics: Improve Seismic Resolution using Machine Learning

Ruslan Miftakhov - AI Research

FOSI Talk 16 May 2020 Seismic Geomorphology and Sequence Stratigraphy by Henry Posamentier

209: Thinking like an algorithm - utilizing machine learning in seismic data

SEG

Deep Learning in Geophysics: Interpretable AI and a new step in Facies Analysis

Ruslan Miftakhov - AI Research

Lab 16: Seismic Data Engineering for Machine Learning Inversion

Application of Unsupervised Machine Learning for 3D Seismic, Pliocene Turbidities, Nile Delta

Geophysical Insights

State-of-the-art seismic stratigraphy and seismic geomorphology by Henry Posamentier

Machine Learning, Robotic Mapping, and Particle Dynamics for Earthquake Geology

Arizona Geological Survey - University of Arizona

Scientific Machine learning for geophysical modeling and inversion || JAX || Jan 21 2022

CRUNCH Group: Home of Math + Machine Learning + X

LC Germany: Automating subsurface model building using deep learning, with Dr. Aria Abubakar

Inversion of geostatistically complex reservoir facies models with deep convolutional neuralnetworks

S. Mostafa Mousavi - Deep Learning of Seismograms

Data Intelligence Institute of Paris

Exploring in Ancient Landscapes: Seismic Geomorphology

Subsurface Consultants & Associates, LLC

Integrating Explainable AI for multiattribute seismic facies machine learning-The SHAP method (2024)

OpendTect Webinar: High resolution 3D segmentation of waveforms for quick geomorphological analysis

AASPI for channel evolution on high-resolution 3D seismic data