Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II

A Samnioti, V Gaganis - Energies, 2023 - mdpi.com
In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry,
with numerous applications which guide engineers in better decision making. The most …

Rapid Hydrate Formation Conditions Prediction in Acid Gas Streams

A Samnioti, EM Kanakaki, SP Fotias, V Gaganis - Fluids, 2023 - mdpi.com
Sour gas in hydrocarbon reservoirs contains significant amounts of H2S and smaller
amounts of CO2. To minimize operational costs, meet air emission standards and increase …

Insights into the Impacts of Heterogeneity and Capillary Pressure in CO2 Storage in Depleted Gas Reservoirs with a Focus on Water Backflow and Hydrate Formation

BRB Fernandes, M Delshad, V Indina… - SPE Annual Technical …, 2024 - onepetro.org
With the growing demand for geological storage of CO2, depleted gas reservoirs are
becoming attractive targets due to proven caprock and existing infrastructures. However …

[PDF][PDF] Rapid Hydrate Formation Conditions Prediction in Acid Gas Streams. Fluids 2023, 8, 226. htps

A Samnioti, EM Kanakaki, SP Fotias… - doi. org/10.3390 …, 2023 - academia.edu
Sour gas in hydrocarbon reservoirs contains significant amounts of H2S and smaller
amounts of CO2. To minimize operational costs, meet air emission standards and increase …

[PDF][PDF] Prediction of Gas Hydrate Formation Condition by Data-Driven Modeling: Different Machine Learning Models with Vector Quantization and Cuckoo Search …

Z Ganji, H Ganji, S Shokri - Iran. J. Chem. Chem. Eng. Research Article …, 2023 - ijcce.ac.ir
Greenhouse gases can be defined as air pollutants that cause global climate warming. In
order to reduce their harmful effects, these gases like methane and carbon dioxide can be …