papers

Publications (7)

physics.geo-ph2022

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…

cs.CV2024

Vision meets algae: A novel way for microalgae recognization and health monitor

Shizheng Zhou, Juntao Jiang, Xiaohan Hong +2

Marine microalgae are widespread in the ocean and play a crucial role in the ecosystem. Automatic identification and location of marine microalgae in microscopy images would help e…

cs.CV2025

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images

Mingxuan Sun, Juntao Jiang, Zhiqiang Yang +21

Microalgae, vital for ecological balance and economic sectors, present challenges in detection due to their diverse sizes and conditions. This paper summarizes the second "Vision M…

physics.geo-ph2021

Transverse Hydraulic Fracture Initiation: Insights from Intermediate-Scale Hydraulic Fracture Tests

Jeffrey Burghardt, Hunter Knox, Chris Strickland +8

In a uniform stress field, a tensile hydraulic fracture will favor propagation in the plane formed by the maximum (most compressive) and intermediate principal stresses. For the pr…

physics.optics2026

Quantum Squeezing Enhanced Photothermal Microscopy

Pengcheng Fu, Xiao Liu, Siming Wang +10

Label-free optical microscopy through absorption or scattering spectroscopy provides fundamental insights across biology and materials science, yet its sensitivity remains fundamen…

stat.ML2022

Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR

Hewei Tang, Pengcheng Fu, Honggeun Jo +5

Fast forecasting of reservoir pressure distribution in geologic carbon storage (GCS) by assimilating monitoring data is a challenging problem. Due to high drilling cost, GCS projec…

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…