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Jingjing Zhang
Jingjing Zhang
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A comprehensive review of enhanced oil recovery projects in Canada and recommendations for planning successful future EOR projects
N Vishnumolakala, J Zhang, NB Ismail
SPE Canada Heavy Oil Conference, D041S009R001, 2020
232020
From laboratory to field: Simulation of a surfactant huff-n-puff pilot in the Eagle Ford
J Zhang, I Ataceri, E Gildin, D Schechter, H Nasrabadi
Unconventional Resources Technology Conference, 13–15 June 2023, 3394-3412, 2023
82023
Rock and fluid-based correlation to describe surfactant molecular structure’s impact on spontaneous imbibition experiments’ performance
A Sarmah, IZ Ataceri, R Vijapurapu, J Zhang, H Nasrabadi, DS Schechter
Unconventional Resources Technology Conference, 13–15 June 2023, 468-481, 2023
72023
Physics-informed neural networks for multiphase flow in porous media considering dual shocks and interphase solubility
J Zhang, U Braga-Neto, E Gildin
Energy & Fuels 38 (18), 17781-17795, 2024
32024
Advancing Petroleum Engineering Solutions: Integrating Physics-Informed Neural Networks for Enhanced Buckley-Leverett Model Analysis
J Zhang, U Braga-Neto, E Gildin
arXiv preprint arXiv:2404.12502, 2024
32024
Investigating the Feasibility of a Geothermal Huff-n-Puff: Implications for Enhanced Geothermal Systems
A Merzoug, J Zhang, ER Okoroafor
2
Enhancing Oil Recovery in Eagle Ford Shale: A Multiscale Simulation Study of Surfactant Huff’n’Puff Methodology
J Zhang, R Zhang, I Ataceri, A Sarmah, D Schechter, E Gildin
SPE Journal 29 (12), 7180-7193, 2024
12024
Physics-informed neural networks for CO2 migration modeling in stratified saline aquifers: Applications in geological Carbon sequestration
J Zhang, ST Chiu, U Braga-Neto, E Gildin
Geoenergy Science and Engineering, 213689, 2025
2025
Modeling the Spatial Distribution of Complex Fracture Systems and Its Impact on Unconventional Reservoir Performance with Discrete Fracture Networks
J Zhang
2021
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