Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 15 Life on Land
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Dive into the research topics where Youngsoo Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Optimizing nanoparticle selection for enhanced oil recovery in carbonate rock using hybrid low salinity water flooding
Han, S. & Lee, Y., 2025.01, In: Journal of Petroleum Exploration and Production Technology. 15, 1, 19.Research output: Contribution to journal › Journal article › peer-review
Open Access4 Link opens in a new tab Scopus citations -
Simulation study of CO2 geological storage in a tight sand reservoir with hydraulic fractured horizontal well
Lee, Y., Sacchetti, F. & Han, S., 2025, In: Geosystem Engineering. 28, 6, p. 485-500 16 p.Research output: Contribution to journal › Journal article › peer-review
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Development of Machine Learning-Based Production Forecasting for Offshore Gas Fields Using a Dynamic Material Balance Equation
Hyoung, J., Lee, Y. & Han, S., 2024.11, In: Energies. 17, 21, 5268.Research output: Contribution to journal › Journal article › peer-review
Open Access4 Link opens in a new tab Scopus citations -
Evaluating the intake plugging effects on the electrical submersible pump (ESP) operating conditions using nodal analysis
Iranzi, J., Wang, J., Lee, Y. & Son, H., 2024.04, In: Journal of Petroleum Exploration and Production Technology. 14, 4, p. 1071-1083 13 p.Research output: Contribution to journal › Journal article › peer-review
Open Access3 Link opens in a new tab Scopus citations -
Gas Pipeline Leak Detection by Integrating Dynamic Modeling and Machine Learning Under the Transient State
Kim, J., Han, S., Kim, D. & Lee, Y., 2024.11, In: Energies. 17, 21, 5517.Research output: Contribution to journal › Journal article › peer-review
Open Access7 Link opens in a new tab Scopus citations
Press/Media
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Your Guide To Every Cast Member Of ‘Single’s Inferno’, From Season 1 To 5
26.02.6
1 item of Media coverage
Press/Media