327 citations · 984 across the 23 of their papers we have counts for
7 papers · 1 filter
Bayesian Learning of Gas Transport in Three-Dimensional Fracture Networks
Yingqi Shi, Donald J. Berry, John Kath +9
Modeling gas flow through fractures of subsurface rock is a particularly challenging problem because of the heterogeneous nature of the material. High-fidelity simulations using di…
The FluidFlower International Benchmark Study: Process, Modeling Results, and Comparison to Experimental Data
Bernd Flemisch, Jan M. Nordbotten, Martin Fernø +30
Successful deployment of geological carbon storage (GCS) requires an extensive use of reservoir simulators for screening, ranking and optimization of storage sites. However, the ti…
Computationally Efficient Multiscale Neural Networks Applied To Fluid Flow In Complex 3D Porous Media
Javier Santos, Ying Yin, Honggeun Jo +6
The permeability of complex porous materials can be obtained via direct flow simulation, which provides the most accurate results, but is very computationally expensive. In particu…
Great SCO2T! Rapid tool for carbon sequestration science, engineering, and economics
Richard S. Middleton, Jeffrey M. Bielicki, Bailian Chen +12
CO2 capture and storage (CCS) technology is likely to be widely deployed in coming decades in response to major climate and economics drivers: CCS is part of every clean energy pat…
Branching of Hydraulic Cracks in Gas or Oil Shale with Closed Natural Fractures: How to Master Permeability
Saeed Rahimi-Agham, Viet-Tuan Chau, Huynjin Lee +7
While the hydraulic fracturing technology, aka fracking (or fraccing, frac), has become highly developed and astonishingly successful, a consistent formulation of the associated fr…
Machine learning for graph-based representations of three-dimensional discrete fracture networks
Manuel Valera, Zhengyang Guo, Priscilla Kelly +6
Structural and topological information play a key role in modeling flow and transport through fractured rock in the subsurface. Discrete fracture network (DFN) computational suites…
Uncertainty quantification for CO2 sequestration and enhanced oil recovery
Zhenxue Dai, Hari Viswanathan, Julianna Fessenden-Rahn +7
This study develops a statistical method to perform uncertainty quantification for understanding CO2 storage potential within an enhanced oil recovery (EOR) environment at the Farn…