Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers
Carbon dioxide storage in underground saline aquifers is considered a promising technique
for decreasing atmospheric CO 2 emissions. The CO 2 residual and solubility in deep saline …
for decreasing atmospheric CO 2 emissions. The CO 2 residual and solubility in deep saline …
Application of robust intelligent schemes for accurate modelling interfacial tension of CO2 brine systems: Implications for structural CO2 trapping
Given the current global climate change, renewable energy sources, carbon capture,
utilization, and storage (CCUS) are being considered as a potential solutions to this critical …
utilization, and storage (CCUS) are being considered as a potential solutions to this critical …
Modeling of CO2 adsorption capacity by porous metal organic frameworks using advanced decision tree-based models
In recent years, metal organic frameworks (MOFs) have been distinguished as a very
promising and efficient group of materials which can be used in carbon capture and storage …
promising and efficient group of materials which can be used in carbon capture and storage …
Advances in and perspectives on strategies for improving the flowability of waxy oils
B Yao, C Li, F Yang, G Sun, X Xia, AM Ashmawy… - Energy & …, 2022 - ACS Publications
The research on the flowability of waxy oil has spanned more than a century and is still
attracting much attention. How to improve the flowability of waxy oil to ensure safe and …
attracting much attention. How to improve the flowability of waxy oil to ensure safe and …
Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling
Carbonate petroleum reservoirs typically have lower permeabilities and recovery factors
than sandstone reservoirs, so the natural fractures they often incorporate have positive …
than sandstone reservoirs, so the natural fractures they often incorporate have positive …
Robust machine learning models of carbon dioxide trapping indexes at geological storage sites
H Vo-Thanh, MN Amar, KK Lee - Fuel, 2022 - Elsevier
Geological carbon dioxide (CO 2) storage (GCS) in saline aquifers has been recognized as
a promising way to slow down global CO 2 emissions. The residual and solubility trapping …
a promising way to slow down global CO 2 emissions. The residual and solubility trapping …
Predicting formation damage of oil fields due to mineral scaling during water-flooding operations: Gradient boosting decision tree and cascade-forward back …
A Larestani, SP Mousavi, F Hadavimoghaddam… - Journal of Petroleum …, 2022 - Elsevier
Water-flooding is one of the main options employed by the oil industry to meet the world's
ever-increasing demand for oil, as the primary source of energy. This approach is highly …
ever-increasing demand for oil, as the primary source of energy. This approach is highly …
Universal intelligent models for liquid density of CO2+ hydrocarbon mixtures
Developing precise predictive methods for liquid density of CO 2+ hydrocarbon mixtures is
vital to model, optimize, and design of the enhanced oil recovery (EOR) and the CO 2 …
vital to model, optimize, and design of the enhanced oil recovery (EOR) and the CO 2 …
Developing the efficiency-modeling framework to explore the potential of CO2 storage capacity of S3 reservoir, Tahe oilfield, China
A Alalimi, AM AlRassas, H Vo Thanh… - … and Geophysics for Geo …, 2022 - Springer
Carbon capture and utilisation is a viable method of reducing greenhouse gas emissions. As
a result, carbon dioxide (CO2) injection in oil formations is recognised as a promising …
a result, carbon dioxide (CO2) injection in oil formations is recognised as a promising …
Auto-adaptive multilayer perceptron for univariate time series classification
FA Del Campo, MCG Neri, OOV Villegas… - Expert Systems with …, 2021 - Elsevier
Abstract Time Series Classification (TSC) is an intricate problem that has encountered
applications in various science fields. Accordingly, many researchers have presented …
applications in various science fields. Accordingly, many researchers have presented …