A survey on industry 4.0 for the oil and gas industry: upstream sector
The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the
impact of COVID-19, and the push for alternative greener energy are driving the need for …
impact of COVID-19, and the push for alternative greener energy are driving the need for …
Effect of carbon-based and metal-based nanoparticles on enhanced oil recovery: A review
MS Nasr, E Esmaeilnezhad, HJ Choi - Journal of Molecular Liquids, 2021 - Elsevier
Nanotechnology is deemed to have excellent prospects in various sectors of the oil
industries because of its eco-friendliness and affordability. More specifically, it may be …
industries because of its eco-friendliness and affordability. More specifically, it may be …
Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
Careful design and preparation of drilling fluids with appropriate rheology and filtration
properties, combined with operational monitoring, is essential for successful drilling …
properties, combined with operational monitoring, is essential for successful drilling …
A new methodology for the prediction of optimal conditions for dyes' electrochemical removal; Application of copula function, machine learning, deep learning, and …
In the present study, a new methodology has been introduced for predicting the
simultaneous removal optimal conditions of Acid red 33 (AR33), Reactive orange 7 (RO7) …
simultaneous removal optimal conditions of Acid red 33 (AR33), Reactive orange 7 (RO7) …
Effect of silicon-based nanoparticles on enhanced oil recovery
MS Nasr, E Esmaeilnezhad, HJ Choi - Journal of the Taiwan Institute of …, 2021 - Elsevier
Silicon-based nanoparticles (NPs) have attracted considerable interest for enhanced oil
recovery (EOR) because of their environmentally friendly and cost-effective characteristics …
recovery (EOR) because of their environmentally friendly and cost-effective characteristics …
The Evolving Landscape of Oil and Gas Chemicals: Convergence of Artificial Intelligence and Chemical-Enhanced Oil Recovery in the Energy Transition Toward …
Chemical-enhanced oil recovery (EOR) is a field of study that can gain significantly from
artificial intelligence (AI), addressing uncertainties such as mobility control, interfacial …
artificial intelligence (AI), addressing uncertainties such as mobility control, interfacial …
[HTML][HTML] Research progress and prospect of silica-based polymer nanofluids in enhanced oil recovery
Y Pan, C Zhang, S Yang, Y Liu… - Nanotechnology …, 2023 - degruyter.com
In recent years, silica-based polymer nanofluids (NFs) have attracted more and more
attention because they can enhance temperature and salt tolerance. This study summarized …
attention because they can enhance temperature and salt tolerance. This study summarized …
Nanoparticles assisted polymer flooding: Comprehensive assessment and empirical correlation
Conventional Polymer flooding is considered the most promising chemical-enhanced oil
recovery by reducing water mobility, and hence increasing the sweep efficiency. However …
recovery by reducing water mobility, and hence increasing the sweep efficiency. However …
Poromechanics of fractured/faulted reservoirs during fluid injection based on continuum damage modeling and machine learning
The reactivation of faults is governed by the variation of effective stresses in the fault's plane.
These effective stresses are dependent on the total stresses (solely related to the regional …
These effective stresses are dependent on the total stresses (solely related to the regional …
[HTML][HTML] Artificial neural network to forecast enhanced oil recovery using hydrolyzed polyacrylamide in sandstone and carbonate reservoirs
H Saberi, E Esmaeilnezhad, HJ Choi - Polymers, 2021 - mdpi.com
Polymer flooding is an important enhanced oil recovery (EOR) method with high
performance which is acceptable and applicable on a field scale but should first be …
performance which is acceptable and applicable on a field scale but should first be …