Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects
Enhanced oil recovery (EOR) using CO 2 injection is promising with economic and
environmental benefits as an active climate-change mitigation approach. Nevertheless, the …
environmental benefits as an active climate-change mitigation approach. Nevertheless, the …
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 …
Digital twin driven life-cycle operation optimization for combined cooling heating and power-cold energy recovery (CCHP-CER) system
Natural gas is expected to be the dominant fossil fuel in the coming decades. Improving the
sustainability of natural gas usage is imperative to achieving a low-carbon society. This …
sustainability of natural gas usage is imperative to achieving a low-carbon society. This …
Catalyzing net-zero carbon strategies: Enhancing CO2 flux Prediction from underground coal fires using optimized machine learning models
Underground coal fires release substantial carbon dioxide (CO 2), posing significant
environmental and health threats. Accurate prediction of surface CO 2 emissions in these …
environmental and health threats. Accurate prediction of surface CO 2 emissions in these …
Connectionist technique estimates of hydrogen storage capacity on metal hydrides using hybrid GAPSO-LSSVM approach
S Maghsoudy, P Zakerabbasi, A Baghban… - Scientific Reports, 2024 - nature.com
The AB2 metal hydrides are one of the preferred choices for hydrogen storage. Meanwhile,
the estimation of hydrogen storage capacity will accelerate their development procedure …
the estimation of hydrogen storage capacity will accelerate their development procedure …
Enhancing carbon sequestration: Innovative models for wettability dynamics in CO2-brine-mineral systems
This study investigates the application of machine learning techniques—specifically
convolutional neural networks, multilayer perceptrons and cascaded forward neural …
convolutional neural networks, multilayer perceptrons and cascaded forward neural …
A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms
M Zamanzadeh Talkhouncheh, S Davoodi… - Earth Science …, 2023 - Springer
Mechanical brittleness index (BI mech) of the rock is a necessary parameter for selecting
appropriate drilling bits and proper depth intervals for hydraulic fracturing. The BI mech …
appropriate drilling bits and proper depth intervals for hydraulic fracturing. The BI mech …
Machine learning prediction of methane, nitrogen, and natural gas mixture viscosities under normal and harsh conditions
The accurate estimation of gas viscosity remains a pivotal concern for petroleum engineers,
exerting substantial influence on the modeling efficacy of natural gas operations. Due to …
exerting substantial influence on the modeling efficacy of natural gas operations. Due to …
Evaluation of low permeability conglomerate reservoirs based on petrophysical facies: A case study from the Triassic Baikouquan Formation, northern Mahu Sag …
Z Yu, Z Wang, Q Jiang, J Wang, Y Feng, J Zheng… - Journal of Petroleum …, 2022 - Elsevier
The determination of high-quality intervals in oil reservoirs has always been challenging
work while their petrophysical attributes are relatively low. To date, extensive reservoir …
work while their petrophysical attributes are relatively low. To date, extensive reservoir …
Experimental measurement and compositional modeling of bubble point pressure in crude oil systems: Soft computing approaches, correlations, and equations of …
A Larestani, A Hemmati-Sarapardeh… - Journal of Petroleum …, 2022 - Elsevier
No one can deny the ever-increasing importance of oil since it has influenced every aspect
of humans' life. One of the most important pressure-volume-temperature (PVT) properties of …
of humans' life. One of the most important pressure-volume-temperature (PVT) properties of …