2 papers
cs.LG2019
Generating Geological Facies Models with Fidelity to Diversity and Statistics of Training Images using Improved Generative Adversarial Networks
Lingchen Zhu, Tuanfeng Zhang
This paper presents a methodology and workflow that overcome the limitations of the conventional Generative Adversarial Networks (GANs) for geological facies modeling. It attempts…
stat.ML2018
Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks
Emilien Dupont, Tuanfeng Zhang, Peter Tilke +2
An important problem in geostatistics is to build models of the subsurface of the Earth given physical measurements at sparse spatial locations. Typically, this is done using spati…