[HTML][HTML] A survey on the application of machine learning and metaheuristic algorithms for intelligent proxy modeling in reservoir simulation
CSW Ng, MN Amar, AJ Ghahfarokhi… - Computers & Chemical …, 2023 - Elsevier
Abstract Machine Learning (ML) has demonstrated its immense contribution to reservoir
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …
Generic AI models for mass transfer coefficient prediction in amine‐based CO2 absorber, Part II: RBFNN and RF model
In this work, the radial basis function neural network (RBFNN) and random forest (RF)
algorithms were employed to develop generic AI models predicting mass transfer coefficient …
algorithms were employed to develop generic AI models predicting mass transfer coefficient …
Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and …
The utilization of carbon capture utilization and storage (CCUS) in unconventional
formations is a promising way for improving hydrocarbon production and combating climate …
formations is a promising way for improving hydrocarbon production and combating climate …
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 …
global warming effect and greenhouse gases have augmented recently. CO 2 injection into …
Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis
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 …
technique for carbon capture, utilization, and storage (CCUS). This operation has a …
Application of cascade forward neural network and group method of data handling to modeling crude oil pyrolysis during thermal enhanced oil recovery
MR Mohammadi, A Hemmati-Sarapardeh… - Journal of Petroleum …, 2021 - Elsevier
Oil recovery during in situ combustion is majorly controlled by hydrocarbon oxidation and
pyrolysis reactions, which govern fuel formation and heat evolution. Fuel deposition, in turn …
pyrolysis reactions, which govern fuel formation and heat evolution. Fuel deposition, in turn …
Modeling CO2 Solubility in Water at High Pressure and Temperature Conditions
A Hemmati-Sarapardeh, MN Amar, MR Soltanian… - Energy & …, 2020 - ACS Publications
CO2 dissolution in water at different temperature and pressure conditions is of essential
interest for various environmental, geochemical, and thermodynamic related problems. The …
interest for various environmental, geochemical, and thermodynamic related problems. The …
Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration
NA Menad, A Hemmati-Sarapardeh, A Varamesh… - Journal of CO2 …, 2019 - Elsevier
Carbon dioxide (CO 2) capture and sequestration in saline aquifers have turned into a key
focus as it becomes an effective way to reduce CO 2 in the atmosphere. The solubility of CO …
focus as it becomes an effective way to reduce CO 2 in the atmosphere. The solubility of CO …
Prediction of minimum miscibility pressure (MMP) of the crude oil-CO2 systems within a unified and consistent machine learning framework
C Huang, L Tian, J Wu, M Li, Z Li, J Li, J Wang, L Jiang… - Fuel, 2023 - Elsevier
In this study, considering the differences of minimum miscibility pressure (MMP) measured
with the slim-tube and rising bubble apparatus (RBA) methods and taking each individual …
with the slim-tube and rising bubble apparatus (RBA) methods and taking each individual …
Modeling solubility of sulfur in pure hydrogen sulfide and sour gas mixtures using rigorous machine learning methods
MN Amar - International Journal of Hydrogen Energy, 2020 - Elsevier
Accurate determination of sulfur solubility in pure hydrogen sulfide (H 2 S) and sour gas
mixtures has a leading role and a fundamental importance in handling and addressing …
mixtures has a leading role and a fundamental importance in handling and addressing …