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20182021
most citedA Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage

9 citations · 12 across the 6 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021

Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations

Ehsan Adeli, Jize Zhang, Alexandros A. Taflanidis

Imputation of missing data is a task that plays a vital role in a number of engineering and science applications. Often such missing data arise in experimental observations from li…

physics.geo-ph2021★ 9 cited

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…