348 citations
- Lawrence Livermore National LaboratoryUS4 papers
- Rice UniversityUS3 papers
- Stanford UniversityUS3 papers
- Lawrence Berkeley National LaboratoryUS2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Total (France)FR2 papers
- Virginia TechUS2 papers
- Agency for Science, Technology and ResearchSG1 paper
- Argonne National LaboratoryUS1 paper
- Center for Nanoscale Materials1 paper
- Chevron (United States)US1 paper
- Colorado School of MinesUS1 paper
14 papers
Application of quantum-inspired generative models to small molecular datasets
C. Moussa, H. Wang, M. Araya-Polo +2
Quantum and quantum-inspired machine learning has emerged as a promising and challenging research field due to the increased popularity of quantum computing, especially with near-t…
Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO Plumes via Deep Learning
Adrian Celaya, Bertrand Denel, Yen Sun +2
We introduce three algorithms that invert simulated gravity data to 3D subsurface rock/flow properties. The first algorithm is a data-driven, deep learning-based approach, the seco…
Maximum-principle-satisfying discontinuous Galerkin methods for incompressible two-phase immiscible flow
M. S. Joshaghani, B. Riviere, M. Sekachev
This paper proposes a fully implicit numerical scheme for immiscible incompressible two-phase flow in porous media taking into account gravity, capillary effects, and heterogeneity…
Smooth Implicit Hybrid Upwinding for Compositional Multiphase Flow in Porous Media
Sebastian B. M. Bosma, Francois P. Hamon, Brad T. Mallison +1
In subsurface multiphase flow simulations, poor nonlinear solver performance is a significant runtime sink. The system of fully implicit mass balance equations is highly nonlinear…
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage
Hewei Tang, Pengcheng Fu, Christopher S. Sherman +6
Fast assimilation of monitoring data to update forecasts of pressure buildup and carbon dioxide (CO2) plume migration under geologic uncertainties is a challenging problem in geolo…
Multigrid reduction preconditioning framework for coupled processes in porous and fractured media
Quan M. Bui, Francois P. Hamon, Nicola Castelletto +3
Many subsurface engineering applications involve tight-coupling between fluid flow, solid deformation, fracturing, and similar processes. To better understand the complex interplay…