2021 SCERF 4th Annual Affiliates Meeting (Virtual)

2021 SCERF 4th Annual Affiliates Meeting

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