Changqing Yao

An efficient deep learning-based workflow for CO2 plume imaging considering model uncertainties with distributed pressure and temperature measurements

M. Nagao, Changqing Yao, Tsubasa Onishi et al. · International journal of greenhouse gas control · 2024 · 22 citations · Full text

Convolutional Neural Network, Distributed Pressure, Engineering +11

An Efficient Deep Learning-Based Workflow for CO2 Plume Imaging With Distributed Pressure and Temperature Measurements

M. Nagao, Changqing Yao, Tsubasa Onishi et al. · SPE Journal · 2023 · 17 citations

Geometric Learning, Convolutional Neural Network, Engineering +23

Robust CO2 Plume Imaging Using Joint Tomographic Inversion of Distributed Pressure and Temperature Measurements

Changqing Yao, Hongquan Chen, Tsubasa Onishi et al. · SPE Annual Technical Conference and Exhibition · 2021 · 15 citations

Earth Observation, Environmental Monitoring, Engineering +24

Identification of Fractures and Preferential Flow Paths Using Streamlines and Dynamic Data in Dual Porosity Dual Permeability Reservoir Models

Hongquan Chen, Changqing Yao, Akhil Datta‐Gupta et al. · SPE Annual Technical Conference and Exhibition · 2020 · 14 citations

Engineering, Dynamic Data, Fracture Location +20

An Efficient Deep Learning-Based Workflow for CO2 Plume Imaging Using Distributed Pressure and Temperature Measurements

Masahiro Nagao, Changqing Yao, Tsubasa Onishi et al. · SPE Annual Technical Conference and Exhibition · 2022 · 14 citations