All Stories

  1. Bayesian geophysical basin modeling with seismic kinematic metrics to quantify uncertainty for pore pressure prediction
  2. Consistency and prior falsification of training data in seismic deep learning: Application to offshore deltaic reservoir characterization
  3. Approximate Bayesian inference of seismic velocity and pore-pressure uncertainty with basin modeling, rock physics, and imaging constraints