1-13 of 13
Changqing Yao
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Field Application of a Novel Multiresolution Multiwell Unconventional Reservoir Simulation: History Matching and Parameter Identification

Jia Fu, Hongquan Chen, Changqing Yao, Shohei Sakaida, Erich Kerr, Andrew Johnson, Akhil Datta-Gupta, Ding Zhu, A. Daniel Hill
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (05): 2703–2714.
Paper Number: SPE-219444-PA
https://doi.org/10.2118/219444-PA
Published: 15 May 2024
Add To Cart
View article titled, Field Application of a Novel Multiresolution Multiwell Unconventional Reservoir Simulation: History Matching and Parameter Identification
Open the PDF for Field Application of a Novel Multiresolution Multiwell Unconventional Reservoir Simulation: History Matching and Parameter Identification in another window
Add to Citation Manager
Journal Articles

An Efficient Deep Learning-Based Workflow for CO 2 Plume Imaging With Distributed Pressure and Temperature Measurements

Masahiro Nagao, Changqing Yao, Tsubasa Onishi, Hongquan Chen, Akhil Datta-Gupta
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 28 (06): 3224–3238.
Paper Number: SPE-210309-PA
https://doi.org/10.2118/210309-PA
Published: 13 December 2023
Add To Cart
View article titled, An Efficient Deep Learning-Based Workflow for CO 2 Plume Imaging With Distributed Pressure and Temperature Measurements
Open the PDF for An Efficient Deep Learning-Based Workflow for CO 2 Plume Imaging With Distributed Pressure and Temperature Measurements in another window
Add to Citation Manager
Proceedings Papers

Field Application of a Novel Multi-Resolution Multi-Well Unconventional Reservoir Simulation: History Matching and Parameter Identification

Jia Fu, Hongquan Chen, Changqing Yao, Shohei Sakaida, Erich Kerr, Andrew Johnson, Akhil Datta-Gupta, Ding Zhu, A. Daniel Hill
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3857125-MS
https://doi.org/10.15530/urtec-2023-3857125
Add To Cart
View Paper titled, Field Application of a Novel Multi-Resolution Multi-Well Unconventional Reservoir Simulation: History Matching and Parameter Identification
Open the PDF for Field Application of a Novel Multi-Resolution Multi-Well Unconventional Reservoir Simulation: History Matching and Parameter Identification in another window
Add to Citation Manager
Proceedings Papers

Data Driven Oil Production Prediction and Uncertainty Quantification for Unconventional Asset Development Planning Through Machine Learning

Xiang (Rex) Ren, Jichao Yin, Feng Xiao, Sasha Miao, Sri Lolla, Changqing Yao, Steve Lonnes, Huafei Sun, Yang Chen, James Brown, Jorge Garzon, Piyush Pankaj
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865670-MS
https://doi.org/10.15530/urtec-2023-3865670
Add To Cart
View Paper titled, Data Driven Oil Production Prediction and Uncertainty Quantification for Unconventional Asset Development Planning Through Machine Learning
Open the PDF for Data Driven Oil Production Prediction and Uncertainty Quantification for Unconventional Asset Development Planning Through Machine Learning in another window
Add to Citation Manager
Proceedings Papers

Ensemble Machine Learning for Data-Driven Predictive Analytics of Drilling Rate of Penetration (ROP) Modeling: A Case Study in a Southern Iraqi Oil Field

Dhuha T. Al-Sahlanee, Raed H. Allawi, Watheq J. Al-Mudhafar, Changqing Yao
Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213043-MS
https://doi.org/10.2118/213043-MS
Add To Cart
View Paper titled, Ensemble Machine Learning for Data-Driven Predictive Analytics of Drilling Rate of Penetration (ROP) Modeling: A Case Study in a Southern Iraqi Oil Field
Open the PDF for Ensemble Machine Learning for Data-Driven Predictive Analytics of Drilling Rate of Penetration (ROP) Modeling: A Case Study in a Southern Iraqi Oil Field in another window
Add to Citation Manager
Proceedings Papers

High Resolution Modeling of Pore Pressure Change, Fault Slip Potential and Induced Seismicity in the Fort Worth Basin

Changqing Yao, Jaeyoung Park, Hongquan Chen, Akhil Datta-Gupta, Peter Hennings, Robin Dommisse
Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212951-MS
https://doi.org/10.2118/212951-MS
Add To Cart
View Paper titled, High Resolution Modeling of Pore Pressure Change, Fault Slip Potential and Induced Seismicity in the Fort Worth Basin
Open the PDF for High Resolution Modeling of Pore Pressure Change, Fault Slip Potential and Induced Seismicity in the Fort Worth Basin in another window
Add to Citation Manager
Proceedings Papers

Machine Learning Based FPSO Topsides Weight Estimation for a Project on an Early Stage

Changqing Yao, Xiang Ren, Dakshina Valiveti, Sam Ryu, Carmela Chaney, Yifei Zeng
Paper presented at the Offshore Technology Conference, May 1–4, 2023
Paper Number: OTC-32304-MS
https://doi.org/10.4043/32304-MS
Add To Cart
View Paper titled, Machine Learning Based FPSO Topsides Weight Estimation for a Project on an Early Stage
Open the PDF for Machine Learning Based FPSO Topsides Weight Estimation for a Project on an Early Stage in another window
Add to Citation Manager
Proceedings Papers

Full-Stack Machine Learning Development Framework for Energy Industry Applications

Jie Chen, Changqing Yao, Pandu Devarakota, Mohamed Sidahmed, Zexuan Dong, Sai Kanuparthi, Jia Wei
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-210986-MS
https://doi.org/10.2118/210986-MS
Add To Cart
View Paper titled, Full-Stack Machine Learning Development Framework for Energy Industry Applications
Open the PDF for Full-Stack Machine Learning Development Framework for Energy Industry Applications in another window
Add to Citation Manager
Proceedings Papers

An Efficient Deep Learning-Based Workflow for CO 2 Plume Imaging Using Distributed Pressure and Temperature Measurements

Masahiro Nagao, Changqing Yao, Tsubasa Onishi, Hongquan Chen, Akhil Datta-Gupta
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210309-MS
https://doi.org/10.2118/210309-MS
Add To Cart
View Paper titled, An Efficient Deep Learning-Based Workflow for CO 2 Plume Imaging Using Distributed Pressure and Temperature Measurements
Open the PDF for An Efficient Deep Learning-Based Workflow for CO 2 Plume Imaging Using Distributed Pressure and Temperature Measurements in another window
Add to Citation Manager
Proceedings Papers

A Calculation Model for the Temperature Field of the Shallow Submarine Strata Considering the Heat of Hydration of Cement Slurry

Haoyu Diao, Honghai Fan, Bernt Johan Leira, Sigbjørn Sangesland, Yuguang Ye, Yuhan Liu, Fei Zhou, Bangchen wu, Lucas Cantinelli Sevillano, Changqing Yao
Paper presented at the Offshore Technology Conference, May 2–5, 2022
Paper Number: OTC-31812-MS
https://doi.org/10.4043/31812-MS
Add To Cart
View Paper titled, A Calculation Model for the Temperature Field of the Shallow Submarine Strata Considering the Heat of Hydration of Cement Slurry
Open the PDF for A Calculation Model for the Temperature Field of the Shallow Submarine Strata Considering the Heat of Hydration of Cement Slurry in another window
Add to Citation Manager
Proceedings Papers

Robust CO 2 Plume Imaging Using Joint Tomographic Inversion of Distributed Pressure and Temperature Measurements

Changqing Yao, Hongquan Chen, Tsubasa Onishi, Akhil Datta-Gupta, Sanjay Mawalkar, Srikanta Mishra, Ashwin Pasumarti
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206249-MS
https://doi.org/10.2118/206249-MS
Add To Cart
View Paper titled, Robust CO 2 Plume Imaging Using Joint Tomographic Inversion of Distributed Pressure and Temperature Measurements
Open the PDF for Robust CO 2 Plume Imaging Using Joint Tomographic Inversion of Distributed Pressure and Temperature Measurements in another window
Add to Citation Manager
Journal Articles

Coupled Fluid Flow and Geomechanical Modeling of Seismicity in the Azle Area (North Texas)

Rongqiang Chen, Xu Xue, Jaeyoung Park, Changqing Yao, Hongquan Chen, Akhil Datta-Gupta, Michael J. King, Peter Hennings, Robin Dommisse
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 23 (03): 1006–1018.
Paper Number: SPE-191623-PA
https://doi.org/10.2118/191623-PA
Published: 13 August 2020
Add To Cart
View article titled, Coupled Fluid Flow and Geomechanical Modeling of Seismicity in the Azle Area (North Texas)
Open the PDF for Coupled Fluid Flow and Geomechanical Modeling of Seismicity in the Azle Area (North Texas) in another window
Add to Citation Manager
Proceedings Papers

Coupled Fluid Flow and Geomechanical Modeling of Seismicity in the Azle Area North Texas

Rongqiang Chen, Xu Xue, Changqing Yao, Akhil Datta-Gupta, Michael J. King, Peter Hennings, Robin Dommisse
Paper presented at the SPE Annual Technical Conference and Exhibition, September 24–26, 2018
Paper Number: SPE-191623-MS
https://doi.org/10.2118/191623-MS
Add To Cart
View Paper titled, Coupled Fluid Flow and Geomechanical Modeling of Seismicity in the Azle Area North Texas
Open the PDF for Coupled Fluid Flow and Geomechanical Modeling of Seismicity in the Azle Area North Texas in another window
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal