[HTML][HTML] CO2 sequestration in subsurface geological formations: A review of trap** mechanisms and monitoring techniques

O Massarweh, AS Abushaikha - Earth-Science Reviews, 2024 - Elsevier
Carbon capture and storage (CCS) in subsurface formations has emerged as a promising
strategy to address global warming. In light of this, this review aims to provide a …

Recent advances in neuro-fuzzy system: A survey

KV Shihabudheen, GN Pillai - Knowledge-Based Systems, 2018 - Elsevier
Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …

Modelling minimum miscibility pressure of CO2-crude oil systems using deep learning, tree-based, and thermodynamic models: Application to CO2 sequestration and …

Q Lv, R Zheng, X Guo, A Larestani… - Separation and …, 2023 - Elsevier
The energy demand is still increasing across the globe, while environmental concerns about
global warming effect and greenhouse gases have augmented recently. CO 2 injection into …

Interpretable knowledge-guided framework for modeling minimum miscible pressure of CO2-oil system in CO2-EOR projects

B Shen, S Yang, X Gao, S Li, K Yang, J Hu… - … Applications of Artificial …, 2023 - Elsevier
Carbon dioxide enhanced oil recovery (CO 2-EOR) is a promising application for carbon
capture, utilization and storage (CCUS). Accurate modeling of CO 2-oil minimum miscible …

An advanced prediction model of shale oil production profile based on source-reservoir assemblages and artificial neural networks

Y Liu, J Zeng, J Qiao, G Yang, W Cao - Applied Energy, 2023 - Elsevier
Over the past decade, hydrocarbon production from shale oil reservoirs has become
increasingly common, and successful shale oil exploration and development depends …

Experimental investigation and intelligent modeling of pore structure changes in type III kerogen-rich shale artificially matured by hydrous and anhydrous pyrolysis

B Liu, MR Mohammadi, Z Ma, L Bai, L Wang, Z Wen… - Energy, 2023 - Elsevier
The occurrence and enrichment of shale plays are highly controlled by pore characteristics
of the formation. In this study, an immature sample rich in kerogen type III from the …

Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis

HF Al-Khafaji, Q Meng, W Hussain, RK Mohammed… - Fuel, 2023 - Elsevier
CO 2 injection for enhanced oil recovery (EOR) is widely recognized as an efficient
technique for carbon capture, utilization, and storage (CCUS). This operation has a …

A new prediction model of CO2 diffusion coefficient in crude oil under reservoir conditions based on BP neural network

H Chen, Y Wang, M Zuo, C Zhang, N Jia, X Liu, S Yang - Energy, 2022 - Elsevier
Diffusion is the key mechanism of enhanced oil recovery (EOR) by CO 2 injection in
unconventional oil reservoirs. The accurate measurement of the diffusion coefficient in …

Comprehensive model of energy, environmental impacts and economic in rice milling factories by coupling adaptive neuro-fuzzy inference system and life cycle …

A Nabavi-Pelesaraei, S Rafiee, SS Mohtasebi… - Journal of cleaner …, 2019 - Elsevier
The increasing energy demand, limited fossil fuel resources and effects of climate change,
lead to problems with regard to sustainability of production in food industry. Hence, this …

Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach

B Zhu, S Ye, M Jiang, P Wang, Z Wu, R **e… - Applied energy, 2019 - Elsevier
This study proposes a novel least squares support vector machine with mixture kernel
function-based integrated model for achieving the China's carbon intensity target by 2020 …