2019 Edger Abstracts

EDGER 2019 Abstracts

Research outlook: Using a new X-ray transparent tri-axial pressure vessel for rock deformation studies
Omar Alamoudi and Nicola Tisato

Pre-stack and post-stack inversion using a physics guided convolutional neural network
Reetam Biswas and Mrinal K. Sen

Full waveform inversion using Hopfield neural network and mean field annealing
Ricardo de Braganca and Mrinal K. Sen

Targeted computed tomography, Part I: Predictive rock models without segmentation
Eric J. Goldfarb, Ken Ikeda, Richard A. Ketcham, Kyle T. Spikes, Masa Prodanovic, and Nicola Tisato

Calculating effective elastic properties of Berea Sandstone using the segmentation-less method without targets
Ken Ikeda, Eric Goldfarb, and Nicola Tisato

Low-frequency attenuation measurements of fluids
Michael McCann, Nicola Tisato, and Kyle Spikes

A Boltzman machine for high-resolution pre-stack seismic inversion
Son D. Phan and  Mrinal K. Sen

Machine learning for point counting and segmentation in thin sections
David G. Tang, Kyle T. Spikes, and Kitty Milliken

Unsupervised physics based neural networks for seismic migration
Janaki Vamaraju and Mrinal K. Sen

A hybrid Galerkin finite element method for seismic wave propagation in fractured media
Janaki Vamaraju, Mrinal K. Sen, Jonas De Basabe, and Mary Wheeler

Uncertainty quantification in reservoir classification using probabilistic rock-physics modeling
Wei Xie and Kyle T. Spikes

Frequency-dependent Q estimation method based on laboratory experiments
Wei Xie and Kyle T. Spikes