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2021 SCERF 4th Annual Affiliates Meeting

Event Details:

Wednesday, May 26, 2021 - Thursday, May 27, 2021

2021 SCERF 4th Annual Affiliates Meeting

View & download all reports HERE

Sessions

May 26: Morning Session

  • Introduction, Tapan Mukerji
  • Sequential decision making under uncertainty: a review, Jef Caers
  • A Sequential Decision-making Framework with Uncertainty Quantification for Ground Water Protection, Yizheng Wang & Markus Zechner
  • Efficacy of information in exploration and appraisal drilling, Jef Caers
  • Sequential Value of Information for Subsurface Exploration, Tyler Hall
  • Global and local uncertainty updating of discrete realizations with hard data and well test analysis, Lijing Wang & Celine Scheidt
  • Sequential Monte Carlo Methods for Uncertainty Quantification in Subsurface Systems, Wenchao Teng
  • Quantifying and visualizing uncertainty of 3D geological structures with implicit methods, Jef Caers
  • Quantifying Uncertainty of Non-Stationary Geological Interfaces: Metropolis-Hasting Sampling of Implicit Level Sets, Lijing Wang

May 27: Morning Session

  • 3D karst reservoir modelling based on improved Generative Adversarial Networks (GANSim), Suihong Song
  • Geomodelling of Karst Morphology: A Graph-based Approach, Rayan Kanfar
  • Uncertainty of the Structural Framework for Basin Modeling, Marcelo Brasil Silka
  • Structural positioning analysis for interdisciplinary Bayesian geophysical basin modeling, Josue Fonseca
  • Improving production forecast for unconventionals by combining machine learning models with physics-based models, Alex Bakay
  • Quantifying geological uncertainty using multi-resolution and multi-acquired seismic data, David Yin
  • Seismic facies classification using Deep Learning, Sergei Petrov
  • Uncertainty quantification in stochastic inversion with model and data dimension reduction using variational autoencoder, Mingliang Liu
  • Point-Cloud Deep Learning of Digital Rock Physics for Permeability Prediction, Ali Kashefi
  • Testing Hypotheses for the Geological Origins of a Fractured Bedrock Zone with Geophysical Data, Alex Miltenberger
  • Final thoughts, Jef Caers, Tapan Mukerji

May 27: Afternoon Session
*Subset of the above talks presented for our sponsors in Asia*

  • Introduction, Tapan Mukerji
  • Sequential decision making under uncertainty: a review, Jef Caers
  • Sequential Value of Information for Subsurface Exploration, Tyler Hall
  • Improving production forecast for unconventionals by combining machine learning models with physics-based models, Alex Bakay
  • Point-Cloud Deep Learning of Digital Rock Physics for Permeability Prediction, Ali Kashefi
  • Uncertainty quantification in stochastic inversion with model and data dimension reduction using variational autoencoder, Mingliang Liu
  • Quantifying geological uncertainty using multi-resolution and multi-acquired seismic data, David Yin

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