Baehyun Min

Emailbhmin01ewha.ackr

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47 Article
11 Conference contribution
3 Paper
3 Comment/debate

Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization
Kwon, S., Ji, M., Kim, M., Leung, J. Y. & Min, B., Jan 2025, In: Mathematics. 13, 1, 36.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Scopus citations
Effect of preprocessing on performances of machine learning-based mineral composition analysis on gas hydrate sediments, Ulleung Basin, East Sea
Jin, H., Park, J. Y., Park, S. Y., Son, B. K., Min, B. & Lee, K., Jan 2025, In: Petroleum Science. 22, 1, p. 151-162 12 p.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Scopus citations
History matching of a three dimensional channelized reservoir using a beta-convolutional variational autoencoder and ensemble smoother with multiple data assimilation
Ahn, Y., Choe, J. & Min, B., 1 Nov 2025, In: Engineering Applications of Artificial Intelligence. 159, 111620.
Research output: Contribution to journal › Article › peer-review
Learning-based pattern-data-driven forecast approach for predicting future well responses
Kim, Y., Min, B., Sun, A., Ren, B. & Jeong, H., Feb 2025, In: Journal of Petroleum Exploration and Production Technology. 15, 2, 32.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations
Optimizing Transportation and Storage Design for CO₂ Geological Sequestration Using Multiobjective Optimization and Nodal Analysis: A Case Study From the Gunsan Basin, South Korea
Kim, T. W., Kim, K. J., Lee, Y. K., Jo, S., Choi, S., Min, B. & Choi, B. I., 2025, In: International Journal of Energy Research. 2025, 1, 6686996.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations

Baehyun Min

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Collaborations and top research areas from the last five years

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Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization

Effect of preprocessing on performances of machine learning-based mineral composition analysis on gas hydrate sediments, Ulleung Basin, East Sea

History matching of a three dimensional channelized reservoir using a beta-convolutional variational autoencoder and ensemble smoother with multiple data assimilation

Learning-based pattern-data-driven forecast approach for predicting future well responses

Optimizing Transportation and Storage Design for CO₂ Geological Sequestration Using Multiobjective Optimization and Nodal Analysis: A Case Study From the Gunsan Basin, South Korea

Baehyun Min

Fingerprint

Collaborations and top research areas from the last five years

Research output

Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization

Effect of preprocessing on performances of machine learning-based mineral composition analysis on gas hydrate sediments, Ulleung Basin, East Sea

History matching of a three dimensional channelized reservoir using a beta-convolutional variational autoencoder and ensemble smoother with multiple data assimilation

Learning-based pattern-data-driven forecast approach for predicting future well responses

Optimizing Transportation and Storage Design for CO2 Geological Sequestration Using Multiobjective Optimization and Nodal Analysis: A Case Study From the Gunsan Basin, South Korea

Optimizing Transportation and Storage Design for CO₂ Geological Sequestration Using Multiobjective Optimization and Nodal Analysis: A Case Study From the Gunsan Basin, South Korea