Harnessing Graph Theory and Machine Learning for Reducing High-Fidelity Discrete Fracture Network Models

Shriram Srinivasan

Satish Karra

Saumik Dana

Harnessing Graph Theory and Machine Learning for Reducing High-Fidelity Discrete Fracture Network Models

Employing graph theory and uncertainty quantification to study the effect of advective flow in stochastic fracture networks and matrix diffusion on natural gas production. Saumik Dana, Satish Karra, Shriram Srinivasan, Nataliia Makedonska, Jeffrey Hyman, Maruti Mudunuru, Hari Vishwanathan and Gowri Srinivasan