Water-Saturated CO2 Injection in a Carbonate Rock – Effect of Pore Heterogeneity DOI Creative Commons
H. Yin, Jiachao Ge, Patrick Kin Man Tung

и другие.

Marine and Petroleum Geology, Год журнала: 2024, Номер unknown, С. 107260 - 107260

Опубликована: Дек. 1, 2024

Язык: Английский

Data-driven strategy for contact angle prediction in underground hydrogen storage using machine learning DOI Creative Commons

Mehdi Nassabeh,

Zhenjiang You, Alireza Keshavarz

и другие.

Journal of Energy Storage, Год журнала: 2025, Номер 114, С. 115908 - 115908

Опубликована: Фев. 22, 2025

Язык: Английский

Процитировано

1

Investigating the Potential of CO2 Nanobubble Systems for Enhanced Oil Recovery in Extra-Low-Permeability Reservoirs DOI Creative Commons
Liyuan Cai, Jingchun Wu,

Miaoxin Zhang

и другие.

Nanomaterials, Год журнала: 2024, Номер 14(15), С. 1280 - 1280

Опубликована: Июль 30, 2024

Carbon Capture, Utilization, and Storage (CCUS) stands as one of the effective means to reduce carbon emissions serves a crucial technical pillar for achieving experimental neutrality. CO

Язык: Английский

Процитировано

8

Hybrid EOR Performance Optimization through Flue Gas–Water Alternating Gas (WAG) Injection: Investigating the Synergistic Effects of Water Salinity and Flue Gas Incorporation DOI

Mehdi Nassabeh,

Zhenjiang You, Alireza Keshavarz

и другие.

Energy & Fuels, Год журнала: 2024, Номер 38(15), С. 13956 - 13973

Опубликована: Июль 15, 2024

To enhance oil production from carbonate reservoirs, the implementation of advanced enhanced recovery (EOR) techniques has been proposed. This research evaluates potential flue gas and CO2 in water alternating (WAG) injection a homogeneous fractured reservoir characterized by low porosity permeability, incorporating salinity as hybrid method. Simulations were conducted using Eclipse (E300) software to assess effectiveness this approach. The optimization EOR method, including modified EOR, simultaneous (SWAG) gas, CO2, water, well patterns for gas-LSWAG CO2-LSWAG, analyzed achieve optimal factor. simulation results indicated that natural accounted only 29% total, highlighting necessity implementing methods recovery. Three types gases, derived steel, cement, power plants, along with considered study. findings revealed modification method resulted highest factor, reaching approximately 85%. Additionally, exhibited higher factor compared injection, which demonstrated lowest performance. Therefore, gas-WAG was recommended due its significant increase Furthermore, study investigated impact on performance, CO2-HSWAG outperforming CO2-LSWAG terms indicating positive response an salinity. Conversely, evaluation gases had negative effect also observed exceeding sensitivity compositions Thus, illustrated diverse EOR.

Язык: Английский

Процитировано

7

Reservoir Screening Criteria for CO2 Storage DOI
Annapurna Boruah

Springer climate, Год журнала: 2025, Номер unknown, С. 19 - 40

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

CO2 Fracturing as an Alternative of Hydraulic Fracturing for Shale Gas Production DOI
Annapurna Boruah

Springer climate, Год журнала: 2025, Номер unknown, С. 59 - 72

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Technoeconomic Assessment of Offshore Carbon Storage Multiphase Source-Sink Matching Based on Multiwell Optimization in Eastern Coastal China DOI
Xiaoqing Lin,

Xiaoxiao Zan,

Yuxuan Ying

и другие.

ACS Sustainable Chemistry & Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 2, 2025

Язык: Английский

Процитировано

0

Assessing Water Salinity and Flue Gas Effects on Hybrid Water-Alternating-Gas Injection for Enhanced Oil Recovery DOI

Mehdi Nassabeh,

Zhenjiang You, Alireza Keshavarz

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Storage Efficiency Prediction for Feasibility Assessment of Underground CO2 Storage: Novel Machine Learning Approaches DOI
Farshad Sadeghpour

Energy, Год журнала: 2025, Номер unknown, С. 136040 - 136040

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

AI-driven revolution in subsurface gas storage: Addressing operational and environmental challenges DOI
Ravikumar Jayabal

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 140, С. 298 - 314

Опубликована: Май 30, 2025

Язык: Английский

Процитировано

0

Enhancing subsurface multiphase flow simulation with Fourier neural operator DOI Creative Commons
Xianlin Ma,

Rong Zhong,

Jie Zhan

и другие.

Heliyon, Год журнала: 2024, Номер 10(18), С. e38103 - e38103

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

2