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Changqing Yao

Texas A&M University

Langford Building A

798 Ross St.

College Station, TX 77843-3137

United States

SCHOLARLY PAPERS

3

DOWNLOADS

313

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0

Scholarly Papers (3)

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1.

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

Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) 23-24 Oct 2022
Number of pages: 36 Posted: 23 Nov 2022
Masahiro Nagao, Changqing Yao, Tsubasa Onishi, Akhil Datta-Gupta, Srikanta Mishra and Hongquan Chen
Texas A&M University, Texas A&M University, Chevron Energy Technology Company, Houston, Texas A&M University, Battelle Memorial Institute and Texas A&M University
Downloads 205

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CCS; deep learning; variational autoencoder decoder; CO2 plume visualization; DTS

2.

An Efficient Deep Learning-Based Workflow for Real-Time Co2 Plume Visualization in Saline Aquifer Using Distributed Pressure and Temperature Measurements

Number of pages: 30 Posted: 22 Feb 2024
Changqing Yao, Masahiro Nagao, Akhil Datta-Gupta and Srikanta Mishra
Texas A&M University, Texas A&M University, Texas A&M University and Battelle Memorial Institute
Downloads 62

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CO2 Plume Visualization, Time-of-Flight, Deep learning, variational autoencoder

3.

Robust Co2 Plume Imaging by Joint Tomographic Inversion Using Distributed Pressure and Temperature Measurements

Number of pages: 35 Posted: 28 Apr 2023
Changqing Yao, Hongquan Chen, Tsubasa Onishi, Akhil Datta-Gupta, Srikanta Mishra, Sanjay Mawalkar and Ashwin Pasumarti
Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University, Battelle Memorial Institute, Battelle Memorial Institute and Battelle Memorial Institute
Downloads 46

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CO2 sequestration, CO2 plume imaging, DTS Inversion, pressure data, temperature data, Streamline