Ph.D. course, 2023.03 -

Master course, 2021.03 -2023.02

• Thesis: Development of Deep Learning based Prediction Model on Shale Gas Production at Montney Formation, Canada

Research area

• Machine learning application to well data (shale gas data, image log) and core data (X-ray and split-core images)

• Proxy modeling and inverse modeling with feature extraction

• Economical analysis for EGR-CCS to shale gas reservoir in Canada

Paper

• (co-author) Detection of Borehole Breakout Depth in Image Logs Using Machine Learning Algorithms, Journal of the Korean Society of Mineral and Energy Resources Engineers (2023.08.)

• (first-author) Development of Deep Learning-Based Detection Model for Borehole Breakout Depths in Image Logs, Journal of the Korean Society of Mineral and Energy Resources Engineers (2024.12.)

• (co-author) Development of Irreducible Water Saturation Prediction Based on Machine-Learning technique, Journal of the Korean Society of Petroleum Engineers (2024.12.)

• (first-author) Improvement of RNN-based prediction for shale-gas production with data preprocessing in Montney shale play, Episodes (2025.07.)

Award

• (2021) KIGAM AI Contest (KIGAM homepage)

Achievements

• (2023) Patent application (10-2023-0041254, PCT/KR2023/008449) and Patent registration (10-2612959)

• (2024) Patent applications (10-2024-0101833, 10-2024-0116216)

Ph.D. course, 2025.03 -

Master course, 2022.03 -2024.02

• Thesis: Development of clustering model for XRD experimental data through unsupervised learning algorithm

Research area

• Machine learning application to well data (hydraulic fracturing data in Canada, CT image, XRD data, well logging)

• Machine learning application to XRF-XRD data in shale resources, Canada

Paper

• (co-author) Development of Prediction Model for XRD Mineral Composition Using Machine Learning. Korean Journal of Mineralogy and Petrology (2024.06.)

• (first author) Development of Semi-quantitative Analysis Model for Clay Mineral in the Coastal Surface Sediments of Gangneung-Donghae Using Machine Learning Algorithm. Journal of the Korean Society of Petroleum Engineers  (2024.08.)

• (first author) Application of K-means Clustering Model to XRD Experimental Data in the Korea Plateau. Economic and Environmental Geology (2024.10.)

• (co-first author) Effect of preprocessing on performances of machine learning-based mineral composition analysis on gas hydrate sediments, Ulleung Basin, East Sea. Petroleum Science (2025.01.)

Award

• (2021) Citation, Kongju National University

• (2022) Citation, Kongju National University

• (2022) Citation, Kongju National University

• (2023) KSEEG student poster presenter

• (2023) Citation, Korea Mine Rehabilitation and Mineral Resources Corp.(KOMIR) 

• (2023) Citation, Kongju National University

Achievements

• (2023) Patent application (10-2023-0087820, PCT/KR2023/011410) 

• (2024) Patent registration (10-26666454)

Integrated master/Ph.D. Student (Ph.D. course) 2023.03 -

Research area: 

• Numerical simulation of steam and gas push (SAGP) method for oilsands

• Multi-point geostatistics modeling

Paper

• (first author) Analysis of Non-condensable Gas Injection Timing in eMSAGP Method for Oil Sands Reservoir with Thief Zone, Journal of the Korean Society of Mineral and Energy Resources Engineers (2024.06.)

• (first author) A review of design factors in steam and gas push for eco-friendly oil sands production and its field application in Canada. Journal of Petroleum Exploration and Production Technology (2025.01.)

Award

• (2022) Citation, Kongju National University

• (2023) Citation, Kongju National University

Master course, 2024.03-

Undergraduate Student, 2022.03 -2024.02

Research area

• Machine learning application to well data (hydraulic fracturing data, NMR log, image log)

• Economical analysis for EGR-CCS to shale gas reservoir in Canada

• Multi-point geostatistics modeling

Paper

• (first author) Detection of Borehole Breakout Depth in Image Logs Using Machine Learning Algorithms, Journal of the Korean Society of Mineral and Engergy Resources Engineers (2023.08.)

• (co-author) Development of Deep Learning-Based Detection Model for Borehole Breakout Depths in Image Logs, Journal of the Korean Society of Mineral and Engergy Resources Engineers (2024.12.)

• (first-author) Development of Irreducible Water Saturation Prediction Based on Machine-Learning technique, Journal of the Korean Society of Petroleum Engineers (2024.12.)

Award

• (2022) Citation, Kongju National University

• (2022) Citation, Kongju National University

• (2023) Korea National Oil Corporation

• (2024) KSPE student oral presenter

Achievements

• (2024) Patent applications (10-2024-0101833, 10-2024-0116216)

Undergraduate Student, 2024.03 -

Research area

• Machine learning application to logging data (NMR log, image log)

• Evaluation of lithium resource in oil and gas wells

Paper

• (co-author) Development of Irreducible Water Saturation Prediction Based on Machine-Learning technique, Journal of the Korean Society of Petroleum Engineers (2024.12.)

Undergraduate Student, 2025.09 -

Research area

• TBC