19:00 CEST (10:00 AM PST)

Porous Media TTT Session 68: Machine Learning-Based Microseismic Event Detection

📢 Join the next Porous Media TeaTimeTalk!

The topic for this TeaTimeTalk is "Machine Learning-Based Microseismic Event Detection" and Daniel Lizama from Sandia National Laboratories and University of Puerto Rico will be presenting.

Topics to be covered include:

  • Automated event detection of continuous passive microseismic data recorded at the Illinois Basin Decatur Project (IBDP) site where a million tons of CO2 has been stored.
  • Enhanced detection accuracy using convolutional neural network (CNN) models with spectrogram of continuous waveform data.
  • Multi-modal data with time-frequency feature(s) for improved event detection.

📅 15 April 
⏰ 19:00 CEST (10:00 AM PST)
📍 Live on YouTube here

Tea Time Talk
Event end
Watch here