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20212023
most citedA Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage

9 citations · 9 across the 4 of their papers we have counts for

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physics.geo-ph2021

Machine learning-based porosity estimation from spectral decomposed seismic data

Honggeun Jo, Yongchae Cho, Michael J. Pyrcz +2

Estimating porosity models via seismic data is challenging due to the signal noise and insufficient resolution of seismic data. Although impedance inversion is often used by combin…

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…