Energy Systems Laboratory

52 Journal Publications

52)	*Jang, M., Yoon, S., Jung, S., Min, B., 2024. (Corresponding Author)* Simulating and Assessing Carbon Markets: Application to the Korean and the EU ETSs. Renewable & Sustainable Energy Reviews 195, 114346.	Journal
51)	*Vo, T.H., Zhang, H., Dai, Z., Zhang, T., Tangparitkul, S., Min, B., 2024.** Data-Driven Machine Learning Models for the Prediction of Hydrogen Solubility in Aqueous Systems of Varying Salinity: Implications for Underground Hydrogen Storage. International Journal of Hydrogen Energy 55, 1422-1433.	Journal
50)	*Al-Mudhafar, W.J., Vo, T.H., Wood, D.A., Min, B., 2024.** Stochastic Lithofacies and Petrophysical Property Modeling for Fast History Matching in Heterogeneous Clastic Reservoir Applications. Scientific Reports 14, 22.	Journal
49)	*Ji, M., Kwon, S., Choi, S. Kim, M., Choi, B., Min, B., 2023.** Numerical Investigation of CO₂-Carbonated Water-Alternating-Gas on Enhanced Oil Recovery and Geological Carbon Storage. Journal of CO₂ Utilization 74, 102544.	Journal
48)	*Vo, T.H., Dashtgoli, D.S., Zhang, H., Min, B., 2023.** Machine-Learning-Based Prediction of Oil Recovery Factor for Experimental CO₂-Foam Chemical EOR: Implications for Carbon Utilization Projects. Energy 278 Part A, 127860.	Journal
47)	*Kim, M., Kwon, S., Ji, M., Shin, H., Min, B., 2023.** Multi-Lateral Horizontal Well with Dual-Tubing System to Improve CO₂ Storage Security and Reduce CCS Cost. Applied Energy 330, 120368.	Journal
46)	*Park, G., Kwon, S., Ji, M., Lee, S., Choi, S., Kim, M., Min, B., 2022.** Research on the Generation of High-Resolution Logging Data using a Deep-Learning Algorithm. Journal of the Korean Institute of Mineral and Energy Resources Engineers 58(4): 353-363.	Journal
45)	*Ji, M., Kwon, S., Kim, M., Kim, S., Min, B., 2022.** Generation of Synthetic Compressional Wave Velocity Based on Deep Learning: A Case Study of Ulleung Basin Gas Hydrate in the Republic of Korea. Applied Sciences 12(17), 8775.	Journal
44)	*Kim, B., Jeong, J.Y., Min, B., Nam, M.J., 2022.* Applicability Analysis on Estimation of Spectral Induced Polarization Parameters Based on Multi-objective Optimization. Geophysics and Geophysical Exploration 25(3): 1-10.	Journal
43)	*Lee, H.W.¹, Kim M.¹, Son, H.W., Min, B., Choi, J.H., 2022.* Machine-Learning-Based Water Quality Management of River with Serial Impoundments in the Republic of Korea. Journal of Hydrology: Regional Studies 41, 101069.	Journal
42)	*Jo, S., Jeong, H., Min, B., Park. C., Kim, Y., Kwon, S., Sun, A., 2022.* Efficient Deep-Learning-Based History Matching for Fluvial Channel Reservoirs. Journal of Petroleum Science and Engineering 208(Part E), 109247.	Journal
41)	*Cho, J., Min, B., Kwon, S., Park, G., Lee, K.S., 2021.** Compositional Modeling with Formation Damage to Investigate the Effects of CO₂-CH₄ Water Alternating Gas (WAG) on Performance of Coupled Enhanced Oil Recovery and Geological Carbon Storage. Journal of Petroleum Science and Engineering 205, 108795.	Journal
40)	*Jeong, D., Yoshioka, K., Jeong, H., Min, B., 2021.** Sequential Short-Term Optimization of Gas Lift using Linear Programming: A Case Study of a Mature Oil Field in Russia. Journal of Petroleum Science and Engineering 205, 108767.	Journal
39)	*Kwon, S., Ji, M., Park, G., Min, B., Jeong, H., 2021.** Analysis on Data Disclosure and Reservoir Model of the Volve Oilfield in the North Sea. Journal of the Korean Institute of Mineral and Energy Resources Engineers 58(4): 353-363.	Journal
38)	Huy, N.X., Dung, T.Q., Trang, N.T.T., Hoang, C.M., Min, B., Delia, A.A.-M., Binh, K.N., 2021 Modelling the Petroleum Generation and Migration of Tertiary Source Rocks in the Deepwater of Phu Khanh Basin, Offshore Vietnam. International Journal of Oil, Gas and Coal Technology 28(2): 137-159.	Journal
37)	*Kwon, S., Park, G., Jang, Y., Cho, J., Chu, M.-G., Min, B., 2021.** Determination of Oil Well Placement using Convolutional Neural Network Coupled with Robust Optimization under Geological Uncertainty. Journal of Petroleum Science and Engineering 201, 108118.	Journal
36)	*Ji, M., Kwon, S., Park, G., Min, B., Huy, N.X., 2021.** Prediction of Water Saturation from Well Log Data using Deep Learning Algorithms. Journal of the Korean Institute of Mineral and Energy Resources Engineers 58(3): 215-226.	Journal
35)	*Park, G., Kwon, S., Ji, M., Min, B., Huy, N.X., Kim, K., Kim, S., Lee, K.B., 2021.** A Review on Deep Learning Applications to Logging Data for Modeling Gas-Hydrate-Bearing Sediments. Journal of the Korean Institute of Mineral and Energy Resources Engineers 58(2): 161-178.	Journal
34)	Oh, B., Kim, Y., Lee, W., Jang, Y., Min, B., Jeong, H., 2021. Optimization of Well Operation in a Carbonate Reservoir Using Stochastic Simplex Approximate Gradient. Journal of the Korean Institute of Mineral and Energy Resources Engineers 58(2): 119-129.	Journal
33)	Cho, J., Min, B., Jeong, M., Lee, Y., Lee, K.S., 2021. Modeling of CO₂-LPG WAG with Asphaltene Deposition to Predict the Coupled Enhanced Oil Recovery and Storage Performance. Scientific Reports 11, 2082.	Journal
32)	*Jang, Y., Park, G., Kwon, S., Min, B., 2020.** Analysis of Hydraulic Fracture Propagation using a Mixed Mode and a Uniaxial Strain Model Considering Geomechanical Properties in a Naturally Fractured Shale Reservoir. Geofluids 2020, 6690848.	Journal
31)	*Chu, M.-G., Min, B., Kwon, S., Park, G., Kim, S., Huy, N.X., 2020.** Determination of an Infill Well Placement using a Data-driven Multi-modal Convolutional Neural Network. Journal of Petroleum Science and Engineering 195, 106805.	Journal
30)	*Kim, S., Lee, K.B., Lim, J., Jeong, H., Min, B., 2020.** Development of Ensemble Smoother–Neural Network and its Application to History Matching of Channelized Reservoirs. Journal of Petroleum Science and Engineering 191, 107159.	Journal
29)	*Jang, I.S., Oh, S.E., Kang, H.J., Na, J.W., Min, B., 2020.** Multi-well Placement Optimisation Using Sequential Artificial Neural Networks and Multi-level Grid System. International Journal of Oil, Gas and Coal Technology 24(4): 445-465.	Journal
28)	Piao, J., Han, W.S., Kang, P.K., Min, B., Han, G., Park, J.G. 2020. A Hybrid Optimization Methodology for Indicating Optimal Operating Conditions for Carbon Dioxide Injection in Geologic Carbon Sequestration. International Journal of Greenhouse Gas Control 98, 103067.	Journal
27)	*Cho, J.H., Park, G., Kwon, S., Lee, K.S., Lee, H.S., Min, B. 2020.** Compositional Modeling to Analyze the Effect of CH₄ on Coupled Carbon Storage and Enhanced Oil Recovery Process. Applied Sciences 10(12), 4272.	Journal
26)	*Min, B., Kwon, S., Park, G., Jeong, D., Lee, H.S. 2020.** Current Status and Prospects of Artificial Intelligence in the Oil and Gas Exploration and Production Business. Journal of the Korean Institute of Mineral and Energy Resources Engineers 57(3): 295-308.	Journal
25)	Jeong, H., Sun, A., Jeon, J., Min, B., Jeong, D. 2020. Efficient Ensemble-based Stochastic Gradient Methods for Optimization under Geological Uncertainty. Frontiers in Earth Science 8, 108.	Journal
24)	*Kwon, S., Park, G., Min, B., Kim, K., Lee, T., and Han, J. 2020.** Evaluation of CO₂-EOR Efficiency in Carbonate Reservoirs using Multiple Nonlinear Regression Analysis. Journal of the Korean Institute of Mineral and Energy Resources Engineers 57(2): 185-194.	Journal
23)	Kim, S., Kim, K.H., Min, B., Lim, J., and Lee, K.B., 2020. Generation of Synthetic Density Log Data Using Deep Learning Algorithm at the Golden Field in Alberta, Canada. Geofluids 2020, 5387183.	Journal
22)	Lee, Y., Jeon, H., Lee, K., Min, B., and Choi, Y.-S., 2019. A Review on Disaster Response through Critical Discourse Analysis of Newspaper Articles - Focused on the November 2017 Pohang Earthquake. Journal of the Korea Society of Disaster Information 15(2): 223–238.	Journal
21)	*Kim, S., Min, B., Kwon, S., and Chu, M.-G., 2019.** History Matching of a Channelized Reservoir using a Serial Denoising Autoencoder Integrated with ES-MDA. Geofluids 2019, 3280961.	Journal
20)	Chung, S., Park, C., Min, B., Jang, I.S., and Kang, J.M., 2019. Optimization of Steam and Gas Push to Prevent Water Influx from a Top-Water-Bearing Area into a Vapor Chamber. International Journal of Oil, Gas and Coal Technology 20(3): 304-326.	Journal
19)	Lee, K.B., Kim, S.I., Choe, J., Min, B., and Lee, H.S., 2019. Iterative Static Modeling of Channelized Reservoirs using History-Matched Facies Probability Data and Rejection of Training Images. Petroleum Science 16(1): 127-147.	Journal
18)	Min, B., Sun, A.Y., Wheeler, M.F., and Jeong, H., 2018. Utilization of Multiobjective Optimization for Pulse Testing Dataset from a CO₂ EOR/Sequestration Field. Journal of Petroleum Science and Engineering 170: 244-266.	Journal
17)	*Lee, J., Min, B., Jo, S., and Kim, J., 2018.** Optimization of SAGD Process Using Multi-Objective Optimization Algorithm. Journal of the Korean Institute of Mineral and Energy Resources Engineers 55 (5): 421-430.	Journal
16)	Jeong, H., Sun, A.Y., Lee, J., and Min, B., 2018. A Learning-Based Data-Driven Forecast Approach for Predicting Future Reservoir Performance. Advances in Water Resources 118: 95-109.	Journal
15)	*Kim, S., Min, B., Lee, K.B., and Jeong, H., 2018.** Integration of an Iterative Update of Sparse Geologic Dictionaries with ES-MDA for History Matching of Channelized Reservoirs. Geofluids 2018, 1532868.	Journal
14)	*Lee, S., Min, B., and Wheeler, M.F., 2018.** Optimal Design of Hydraulic Fracturing in Porous Media using the Phase Field Fracture Model Coupled with Genetic Algorithm. Computational Geosciences 22(3): 833-849.	Journal
13)	Kim, J., Kang, J.M., Park, C., Ahn, S., and Min, B., 2017. History Matching of Gas Production Rates Integrated an Artificial Neural Network with Distance-Based Candidate Selection. Journal of the Korean Institute of Mineral and Energy Resources Engineers 54(4): 416-428.	Journal
12)	*Min, B., Kannan, K., and Srinivasan, S., 2017.** Quick Screening of Pareto-Optimal Operating Conditions for Expanding Solvent-Steam Assisted Gravity Drainage Using Hybrid Multi-Objective Optimization Approach. Energies 10(7): 966.	Journal
11)	*Nwachukwu, A., Min, B., and Srinivasan, S., 2017.** Model Selection for CO₂ Sequestration using Surface Deformation and Injection Data. International Journal of Greenhouse Gas Control 56: 67-92.	Journal
10)	Min, B., Kang, J.M., Lee, H., Jo, S., Park, C., and Jang, I.S., 2016. Development of a Robust Multi-Objective History Matching for Reliable Well-based Production Forecasts. Energy Exploration & Exploitation 34(6): 795-809.	Journal
9)	Min, B., Park, C., Jang, I.S., Kang, J.M., and Chung, S., 2015. Development of Pareto-Based Evolutionary Model Integrated with Dynamic Goal Programming and Successive Linear Objective Reduction. Applied Soft Computing 35: 75-112.	Journal
8)	*Kim, J., Kim, U., Kang, J.M., Suk, H., and Min, B., 2015.** Development of a Bottomhole Pressure Calculator and its Application to Shale Gas Wells. Journal of the Korean Institute of Mineral and Energy Resources Engineers 52(3): 335-342.	Journal
7)	Min, B., Kang, J.M., Chung, S., Park, C., and Jang, I.S., 2014. Pareto-Based Multi-Objective History Matching with Respect to Individual Production Performance in a Heterogeneous Reservoir. Journal of Petroleum Science and Engineering 122: 551-566.	Journal
6)	Kim, H., Park, C., Min, B., Chung, S., and Kang, J.M., 2014. Multiphase Flow Simulation for In Situ Combustion to Investigate Hydraulic Heterogeneity and Air Injection Rate Affecting Oil Production. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 36: 2,328-2,337.	Journal
5)	Kam, D., Park, C., Min, B., and Kang, J.M., 2013. Optimal Operation Strategy of Injection Pressures in Solvent-Aided Thermal Recovery for Viscous Oil in Sedimentary Reservoirs. Petroleum Science & Technology 31: 2,378-2,387.	Journal
4)	Park, C., Kang, J.M., and Min, B., 2013. Compound Real Options Incorporated with a Stochastic Approach for Evaluating an Uncertainty in Petroleum Exploration. Energy Sources, Part B: Economics, Planning, and Policy 8(3): 252-262.	Journal
3)	Min, B., Park, C., Kang, J.M., Park, H.J., and Jang, I.S., 2011. Optimal Well-Placement based on Artificial Neural Network Incorporating the Productivity Potential. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 33 (18): 1,726-1,738.	Journal
2)	Park, H.J., Lim, J.S., Roh, J.Y., Kang, J.M., and Min, B., 2010. Production-System Optimization of Gas Fields using Fuzzy/Genetic Approach. SPE Journal 15(2): 417-425.	Journal
1)	Kam, D., Min, B., Chung, S., Park, C., Kang, J.M., Kim, J.Y., Jang, I.S., and Choi, Y.R., 2009. Optimization of Steam Injection Pressure in SAGD using Artificial Neural Network. Journal of the Korean Society for Geosystem Engineering 46(2): 143-150.	Journal

107 Technical Presentations

107)	*Ahn, Y.B., J. Choe, and Min, B., 2023.** Characterization of a Channelized Reservoir using ES-MDA integrated with Variational Autoencoder. AGU Fall Meeting 2023, San Francisco, CA, USA, 11–15 Dec.
106)	*Kwon, S., Leung, J., and Min, B., 2023.** Efficient Design of Warm-VAPEX using a Neural Network Coupled with a Multi-objective Optimization Algorithm Under Geological Uncertainty at an Oilsands Reservoir. AGU Fall Meeting 2023, San Francisco, CA, USA, 11–15 Dec.
105)	*Ji, M., Kwon, S., Choi, S., Kim, M., Choi, B., and Min, B., 2023.** Performance Evaluation on CO₂ Carbonated Water-Alternating-Gas on Enhanced Oil Recovery and Geological Carbon Storage. AGU Fall Meeting 2023, San Francisco, CA, USA, 11–15 Dec.
104)	*Choi, S., Kwon, S., Ji, M., Kim, M., and Min, B., 2023.** Conversion of a Depleted Gas Field into a Geological CO₂ Storage Site: A Case Study of the Donghae-1 Gas Field, Republic of Korea. AGU Fall Meeting 2023, San Francisco, CA, USA, 11–15 Dec.
103)	*Yoon, S., Jung, S.Y., Jang, M.C., Min, B., and Hwang, J., 2023.** Development of the Climate Risk Assessment and Management (CREAM) for Uncertainty Quantification of the Financial Impact of a Carbon-Intensive Company. AGU Fall Meeting 2023, San Francisco, CA, USA, 11–15 Dec.
102)	*Ji, M., Kwon, S., Choi, B., and Min, B., 2023.** Performance Evaluation on CO₂ Carbonated Water-Alternating-Gas on Enhanced Oil Recovery and Geological Carbon Storage. The 22nd Annual Conference of the IAMG, Trondheim, Norway, 5-12 Aug.
101)	*Kim, M., Lee, H.W., Choi, J.H., and Min, B., 2023.** Prediction of Total Phosphorus Concentration based on Multi-Modal Deep Learning for Four Major Rivers of the Republic of Korea. The 22nd Annual Conference of the IAMG, Trondheim, Norway, 5-12 Aug.
100)	*Kwon, S., Leung, J.Y., and Min, B., 2023.** Efficient Design of Warm-VAPEX using a Neural Network Coupled with a Multi-objective Optimization Algorithm Under Geological Uncertainty at an Oilsands Reservoir. The 22nd Annual Conference of the IAMG, Trondheim, Norway, 5-12 Aug.
99)	*Choi, S., Kwon, S., Ji, M., Kim, M., and Min, B., 2023.** Conversion of a Depleted Gas Field into a Geological CO₂ Storage Site: A Case Study of the Donghae-1 Gas Field, Republic of Korea. The 22nd Annual Conference of the IAMG, Trondheim, Norway, 5-12 Aug.
98)	*Yoon, S., Jung, S., Jang, M., Hwang, J., and Min, B., 2023.** Development of the Transition Risk Analysis Model (TRAM) for Uncertainty Quantification of the Financial Impact of a Carbon-Intensive Company. The 22nd Annual Conference of the IAMG, Trondheim, Norway, 5-12 Aug.
97)	*Kwon, S., Kim, M., Leung, Y.J., and Min, B., 2023.** Productivity Evaluation of Warm-VAPEX using Dimethyl Ether. 2023 Spring Conference and Exhibition of the Korean Society of Mechanical Engineers (Plant Sector), Jeju, Republic of Korea, 12–15 Jul.
96)	*Min, B., Kwon, S., Ji, M., Lee, S., and Kim, M., 2023.** Effects of Iterative Learning on Machine Learning Performance for Geoenergy Problems. SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS23), Bergen, Norway, 19–22 Jun.
95)	*Vo, H.T. and Min, B., 2023.** Coupling Genetic Algorithm and Random Forest for Robust Prediction of CO₂ Storage Efficiency in Underground Formations. 2023 EAGE Annual 84th Conference and Exhibition, Vienna, Austria, 5-8 Jun.
94)	*Ji, M., Kwon, S. Kim, M., Choi, S., and Min, B., 2023.** Numerical Investigation of CO₂ Carbonated Water-Alternating-Gas on Enhanced Oil Recovery and Geological Carbon Storage. The Spring Conference of the Korean Society of Petroleum Engineers, Seoul, Republic of Korea, 1–2 Jun.
93)	*Kwon, S., Ji, M., Kim., M., Leung, J.Y., Min, B., 2023.** Iterative-learning-based Determination of Sequential Well Placements using Multi-modal Convolutional Neural Network Coupled with Evolutionary Optimization. 2023 The 120th Spring Conference of the Korean Society of Mineral and Energy Resources Engineers, Seoul, Republic of Korea, 11–12 May.
92)	Yoon, S., Jung, S., Jang, M., Hwang, J., and Min, B., 2023. Assessment of Financial Uncertainty Associated with Climate Change Transition Risks for a Corporate with High Greenhouse Gas Emissions in the Republic of Korea. 2023 The 120th Spring Conference of the Korean Society of Mineral and Energy Resources Engineers, Seoul, Republic of Korea, 11–12 May.
91)	Kwon, S., Ji, M., Kim, M., Leung, J., and Min, B., 2022. Efficient Design of Warm-VAPEX using a Neural Network Coupled with a Multi-objective Optimization Algorithm for an Oilsands Reservoir in Alberta, Canada. AGU Fall Meeting 2022, Chicago, IL, USA, 12–16 Dec.
90)	*Ji, M., Kwon, S., Choi, S., Choi, B., and Min, B., 2022.** Numerical Investigation of CO₂ Carbonated Water-Alternating-Gas on Oil Recovery and Geological Carbon Storage. AGU Fall Meeting 2022, Chicago, IL, USA, 12–16 Dec.
89)	*Arvis, A., Ji, M., Choi, B., and Min, B., 2022.** Modeling of Carbonated Water Injection at a Saline Aquifer as an Efficient Carbon Capture and Storage Solution. AGU Fall Meeting 2022, Chicago, IL, USA, 12–16 Dec.
88)	Park, J., Kim, S., Lee, K.B., Jin, H., Ahn, T.W., and Min, B., 2022. The Effect of Feature Extraction on Machine Learning-based Gas Hydrate Saturation Prediction Model from CT Image. AGU Fall Meeting 2022, Chicago, IL, USA, 12–16 Dec.
87)	*Jang, M., Lee, S., Kim, S., Yoon, S., Jung, S., Hwang, J., Min, B., 2022.** Research on Modeling Financial Risk of Climate Change. 2022 Fall Joint Conference of KSMER/KSRM/KSPE, Jeongseon-gun, Republic of Korea, 2–4 Nov.
86)	*Ji, M., Kwon, S., Choi, B., and Min, B., 2022.** Perforamnce Evaluation of CO₂ Carbonated Water-Alternating-Gas on Enhanced Oil Recovery and Geological Carbon Storage. 2022 Fall Joint Conference of KSMER/KSRM/KSPE, Jeongseon-gun, Republic of Korea, 2–4 Nov.
85)	*Kim, M., Kwon, S., Ji, M., Shin, H., and Min, B., 2022.** Multi-Lateral Horizontal Well with Dual-Tubing System to Improve CO₂ Storage Security and Reduce CCS Cost. 2022 Fall Joint Conference of KSMER/KSRM/KSPE, Jeongseon-gun, Republic of Korea, 2–4 Nov.
84)	*Kwon, S., Ji, M., Min, K., and Min, B., 2022.** Sequential Determination of Well Placements using Multi-modal Convolutional Neural Network for the Optimal Primary Recovery at an Oil Reservoir. 21st Annual Conference of the International Association for Mathematical Geosciences (IAMG), Nancy, France, 29 Aug.–3 Sep.
83)	*Ji, M., Kwon, S., Lee. K.B., Kim, S., and Min, B., 2022.** Generation of Synthetic Compressional Travel Time using Well-Logging-Learning Model and Its Application to the Ulleung Basin Gas Hydrate Field, Republic of Korea. 21st Annual Conference of the International Association for Mathematical Geosciences (IAMG), Nancy, France, 29 Aug.–3 Sep.
82)	Min, B., 2022. Global and Korea’s Efforts for Carbon Capture, Utilization, and Storage (CCUS). International Conference on Energy, Aquatech and Sustainability, Ansan, Republic of Korea, 3–5 Aug.
81)	*Kim, M., Kwon, S., Ji, M., and Min, B., 2022.** Multi-Lateral Horizontal Well with Dual-Tubing System for Improving CO₂ Storage Security and Reducing CCS Cost. 2022 Geoconvention, Calgary, AB, Canada, 20–22 Jun.
80)	*Kim, M., Kwon, S., Ji, M., Lee, S., and Min, B., 2022.** Introduction of Hybrid Steam/Solvent In-Situ Recovery Methods and Case Study of Commercial Oil Sands Projects. 2022 Spring Conference and Exhibition of the Korean Society of Mechanical Engineers (Plant Sector), Jeju, Republic of Korea, 8–10 Jun.
79)	*Jang, Y., Lee, S., and Min, B., 2022.** Productivity Assessment at a Tight Gas Reservoir Using a Phase-Field based Hydro-Mechanical Model. 2022 Spring Conference and Exhibition of the Korean Society of Mineral and Energy Resources Engineers, Daejeon, Republic of Korea, 19–21 May
78)	*Jang, Y., Min, B., Lee, S., 2021.** Assessment of Hydrocarbon Productivity Using a Hydraulic-Mechanical Model with Phase-Field Approach in a Fractured Reservoir. AGU Fall Meeting 2021, New Orleans, LA, USA, 13–17 Dec.
77)	*Cho, J., Min, B., Kwon, S., Park, G., and Lee, K.S., 2021.** Modeling of CO₂-CH₄ Water Alternating Gas with Asphaltene Deposition for Estimating Coupled Performance of Enhanced Oil Recovery and Geological Carbon Storage. AGU Fall Meeting 2021, New Orleans, LA, USA, 13–17 Dec.
76)	*Kim, M., Min, B., and Shin, H., 2021.** Multi-Lateral Horizontal Well with Dual-Tubing System for Reducing the CCS Cost and Improving CO₂ Storage Security. AGU Fall Meeting 2021, New Orleans, LA, USA, 13–17 Dec.
75)	*Kwon, S., Park, G., Ji, M., Choi, S., and Min, B., 2021.** Optimal Placement of Infill Wells at a Petroleum Reservoir based on Time-series Forecasting using Multi-modal Convolutional Neural Network. AGU Fall Meeting 2021, New Orleans, LA, USA, 13–17 Dec.
74)	*Park, G., Kwon, S., Ji, M., and Min, B., 2021.** High-Resolution Estimation of Porosity with Deep-Learning-Based Interpretation of Well Logging and Core data for Gas-Hydrate-Bearing Sediments in the Republic of Korea. AGU Fall Meeting 2021, New Orleans, LA, USA, 13–17 Dec.
73)	*Ji, M., Kwon, S., Park, G., Min, B., and Lee, K.B., 2021.** Prediction of Shear Travel Time from Well Logging Data using an Ensemble Deep Learning. AGU Fall Meeting 2021, New Orleans, LA, USA, 13–17 Dec.
72)	Min, B., 2021. Current Status and Prospects of CCUS (Carbon Capture, Utilization, and Storage). Energy & Mineral Resources development Symposium 2021, Yongsan, Republic of Korea, 9 Dec.
71)	Kim, M., and Min, B., 2021. Development of a Forecast Model of Cumulative Shale Oil Production at a West Canada Monteney Shale Reservoir using Cat2Vec. 2021 GAIDAS Fall Meeting, Busan, Republic of Korea, 28–29 Nov.
70)	*Park, G., Kwon, S., Ji, M., Min, B., Kim, S., Kim, K., and Lee, K.B., 2021.** High-resolution Estimation of Reservoir Parameters with a Deep-learning-based Interpretation of Well Logging. 2021 Fall Joint Conference of KSMER/KSRM/KSEG/KSPE, Busan, Republic of Korea, 25–26 Oct.
69)	Min, B., Kwon, S., Park, G., Lee, K.S., and Cho, J., 2021. Korea’s Efforts for Carbon Capture, Utilization, and Storage. International Conference on Energy, Aquatech and Sustainability, Siheung, Republic of Korea, 11–13 Aug.
68)	Cho, J., Park, G., Kwon, S., Lee, K.S., and Min, B., 2020. Effects of CO₂-CH₄ Co-injection on the Performance of a Coupled Carbon Storage and Enhanced Oil Recovery Process. AGU Fall Meeting 2020, San Francisco, CA, USA, 1–17 Dec.
67)	Kwon, S. and Min, B., 2020. Determination of Oil-Well Placement at a Petroleum Reservoir using Sequential Convolutional Neural Network Coupled with Robust Optimization under Geological Uncertainty. AGU Fall Meeting 2020, San Francisco, CA, USA, 1–17 Dec.
66)	Jang, Y., Park, G., Kwon, S., and Min, B., 2020. Numerical Investigation for Hydraulic Fracturing with Mixed-Mode and its Interaction with Natural Fractures in a Shale Gas Reservoir. CouFrac 2020, Seoul, Republic of Korea, 11–13 Nov.
65)	Kwon, S., Park, G., Jang, Y., Cho, J,, Chu, M.-G., and Min, B., 2020. Selection of Oil-Well Placement using Convolutional Neural Network Coupled with Robust Optimization. CouFrac 2020, Seoul, Republic of Korea, 11–13 Nov.
64)	Cho, J., Park, G., Kwon, S., Lee, K.S., Lee, H., and Min, B., 2020. Compositional Modeling to Analyze the Effects of CH₄ on Coupled Carbon Storage and Enhanced Oil Recovery. 2020 Fall Joint Conference of KSMER-KSRM, Wonju, Republic of Korea, 4–6 Nov.
63)	Jang, Y., Min, B., and Lee, S., 2020. Integration of High-Fidelity Hydro-Mechanical Model-Based Phase Field for Productivity Evaluation at a Shale Gas Reservoir. 2020 Fall Joint Conference of KSMER-KSRM, Wonju, Republic of Korea, 4–6 Nov.
62)	Kim, M., Min, B., Kwon, S., Park, G., and Shin, H., 2020. Multi-lateral Horizontal Well with Dual-Tubing System for Improving the CO₂ Storage Efficiency. 2020 Fall Joint Conference of KSMER-KSRM, Wonju, Republic of Korea, 4–6 Nov.
61)	Kim, M., Shin, H., and Min, B., 2020. Machine Learning-Based Prediction of the Shale Barrier Size and Spatial Location Using Key Features of SAGD Production Curves. 2020 Fall Joint Conference of KSMER-KSRM, Wonju, Republic of Korea, 4–6 Nov.
60)	Kwon, S., Park, G., Jang, Y., Cho, J., Chu, M.-g., and Min, B., 2020. Selection of an Oil Well Placement using Convolutional Neural Network and Robust Optimization. 2020 Fall Joint Conference of KSMER-KSRM, Wonju, Republic of Korea, 4–6 Nov.
59)	Park, G., Kwon, S., Ji, M., Kim, K., Kim, S., Lee, K., and Min, B., 2020. Review of Well Logging Analysis using Neural Networks. 2020 Fall Joint Conference of KSMER-KSRM, Wonju, Republic of Korea, 4–6 Nov.
58)	Kim, S., Lee, K.B., Lim, J., Jeong, H., Min, B., 2020. Improvement of History Matching Performance by Ensemble Smoother from Pseudo-ensemble Smoother using Convolutional Encoder-Decoder. 11th International Geostatistics Congress, Toronto, Canada, 17–21 Aug.
57)	Min, B., Chu, M., Kwon, S., Park, G., Kim, S., and Huy, N.X., 2019. Determination of Infill Well Placement at a Petroleum Reservoir Using a Data-driven Multi-modal Convolutional Neural Network with Sequential Training. AGU Fall Meeting 2019, San Francisco, USA, CA, 9–13 Dec.
56)	Kwon, S., Chu, M., Park, G., Min, B., and Lim, J., 2019. Optimal Structure of a Data-driven Multi-modal Convolutional Neural Network for Determination of Infill Well Placement at a Petroleum Reservoir. AGU Fall Meeting 2019, San Francisco, USA, CA, 9–13 Dec.
55)	Kim, K., Han, J., Lee, T., Min, B., Kwon, S., and Park, G., 2019. An Preliminary Evaluation of the CO₂ EOR Efficiency in Carbonate Reservoirs. 2019 Fall Joint Conference of KSMER/KSRM/KSEG, Jeju, Republic of Korea, 6-9 Nov.
54)	Arvis, A., Chon, B., Min, B., and Ahn, T., 2019. Analysis of EOR Screening Based on the Reservoir Characteristics of the Mongolian “A” Field. 2019 Fall Joint Conference of KSMER/KSRM/KSEG, Jeju, Republic of Korea, 6–9 Nov.
53)	Kim, S., Lee, K.B., Lim, J., Jeong, H., and Min, B., 2019. Ensemble Smoother-Neural Network for History Matching of a Channelized Gas Reservoir. 2019 Fall Joint Conference of KSMER/KSRM/KSEG, Jeju, Republic of Korea, 6–9 Nov.
52)	Park, G., Han, W., Min, B., Kim, K.-Y., and Kim, T., 2019. Using Hybrid Multi-Objective Optimization to Indicate the Optimal Injection Conditions in Geologic CO₂ Sequestration. 2019 Fall Joint Conference of KSMER/KSRM/KSEG, Jeju, Republic of Korea, 6–9 Nov.
51)	Kim, S., Min, B., and Choe, J., 2019. Application of a serial denoising autoencoder for geological plausibility of a channelized reservoir in history matching. Petroleum Geostatistics 2019, Florence, Italy, 2–6 Sep.
50)	Min, B., Chu, M., Kwon, S., Park, G., Kim, S., and Huy, N.X., 2019. Optimization of Infill Well Placement Using a Data-driven Multi-modal Convolutional Neural Network with Sequential Training. 20th Annual Conference of the International Association for Mathematical Geosciences, State College, Pennsylvania, 10–16 Aug.
49)	Min, B., Kim, S., Chu, M., Kwon, S., and Park, G., 2019. History Matching of a Channelized Gas Reservoir using a Serial Denoising Autoencoder Coupled with ES-MDA. 20th Annual Conference of the International Association for Mathematical Geosciences, State College, Pennsylvania, 10–16 Aug.
48)	Yoon, H., Kim, J., and Min, B., 2019. Investigation on Accuracy of Various Fractional Step Methods in Poroelasticity. 2019 Spring Conference and Exhibition of Korean Society of Mineral and Energy Resources Engineers, Daejeon, Republic of Korea, 9–10 May
47)	Chu, M., Min, B., Kwon, S., Park, G., and Yoon, H., 2019. Improving the Predictability of Multi-modal Convolutional Neural Network using Sequential Training for Infill-well Placement Optimization. 2019 Spring Conference and Exhibition of Korean Society of Mineral and Energy Resources Engineers, Daejeon, Republic of Korea, 9–10 May
46)	Yoon, H., Kim, J., and Min, B., 2019. Investigation on Accuracy of Various Fractional Step Methods in Poroelasticity. 2019 Spring Conference of the Korean Institute of Gas, Daegu, Republic of Korea, 8–10 May
45)	Chu, M., Min, B., Kwon, S., Park, G., and Yoon, H., 2019. Improving the Predictability of Multi-modal Convolutional Neural Network using Sequential Training for Infill-well Placement Optimization. 2019 Spring Conference of the Korean Institute of Gas, Daegu, Republic of Korea, 8–10 May
44)	Min, B., Chu, M., Kwon, S., and Kim, S., 2018. Selection of a Vertical Infill Well Placement Using a Multi-Modal Convolutional Neural Network Trained Using Reservoir Simulation. AGU Fall Meeting 2018, Washington D.C., District of Columbia, 10-14 Dec.
43)	Min, B., Kim, S., Kwon, S., and M. Chu. 2018. History Matching of a Channelized Gas Reservoir Using ES-MDA Integrated with an Unsupervised Serial Denoising Autoencoder. AGU Fall Meeting 2018, Washington D.C., District of Columbia, 10-14 Dec.
42)	Min, B., Chu, M., Kwon, S., and Kim, S., 2018. Evaluation of Well Productivity using Multi-Modal Convolutional Neural Network. 2018 Fall Conference of the Korean Institute of Gas, Jeju Island, Republic of Korea, 8-9 Nov.
41)	Chu, M., Min, B., Kwon, S., and Kim, S., 2018. Selection of an Optimal Infill-well Location using a Multi-modal Convolutional Neural Network in the Channelized Reservoir. 2018 Fall Joint Conference of KSMER/KSRM/KSEG, Jeongseon, Republic of Korea, 7-9 Nov.
40)	Kim, S., Chu, M., Kwon, S., and Min, B., 2018. Utilization of Serial Denoising Autoencoder for Improvement of Geological Plausibility during History Matching of a Channelized Reservoir using Ensemble Data Assimilation Techniques. 2018 Fall Joint Conference of KSMER/KSRM/KSEG, Jeongseon, Republic of Korea, 7-9 Nov.	Proc.
39)	Kim, S. and Min, B. 2018. Hybrid Sparse Dictionary Construction Using K-SVD and DCT for History Matching by ESMDA. 13th EnKF workshop, Bergen, Norway, 28-30 May	Proc.
38)	Kim, S. and Min, B. 2018. Construction of Hybrid Sparse Dictionary Matrices for History Matching using ES-MDA Coupled with Sparse Coding. Spring Conference and Exhibition of Korean Society of Mineral and Energy Resources Engineers, Seoul, Republic of Korea, 17-18 May	Proc.
37)	Chu, M., Kwon, S., and Min, B. 2018. Well Placement Optimization using Multi-Modal Convolutional Neural Networks. Spring Conference and Exhibition of Korean Society of Mineral and Energy Resources Engineers, Seoul, Republic of Korea, 17-18 May	Proc.
36)	Jeong, H., Lee, J., and Min, B. 2018. Fast Forecast of Future Reservoir Performance Using Machine Learning. Spring Conference and Exhibition of Korean Society of Mineral and Energy Resources Engineers, Seoul, Republic of Korea, 17-18 May	Proc.
35)	Lu, X., Lotfollahi, M., Ganis, B., Min, B., and Wheeler, M.F., 2018. Integrated Compositional Simulation and Optimization for Gas Mobility Control Techniques during CO₂ Sequestration in Cranfield. InterPore 10th Annual Meeting and Jubilee, New Orleans, Louisiana, USA, 14-17 May	Proc.
34)	Lu, X., Lotfollahi, M., Ganis, B., Min, B., and Wheeler, M.F., 2018. An Integrated Flow-Geomechanical Analysis of Flue Gas Injection in Cranfield. SPE Improved Oil Recovery Conference, Tulsa, Oklahoma, USA, 14-18 Apr.	Proc.
33)	Min, B. and Lee, S. 2017. Numerical Analysis on Optimization of Hydraulic Fracturing using a Phase-field Fracture Propagation Model Coupled with Genetic Algorithm. 2017 Fall Joint Conference of KSMER/KSRM/KSEG, Busan, Republic of Korea, 1-3 Nov.
32)	Min, B., Wheeler, M.F., and Sun, A., 2017. AUtilization of Multi-Objective Optimization for Pulse Testing Dataset from a Geological CO₂ Sequestration Site. SIAM Geosciences, Erlangen, Germany, 11-14 Sep.
31)	Min, B. 2017. Compositional Simulation of Pulse Tests for Monitoring a Migration of CO₂ Plume at Cranfield, Mississippi, USA. Spring Conference and Exhibition of Korean Society of Mineral and Energy Resources Engineers, Yeosu, Republic of Korea, 25-26 May
30)	Min, B., Wheeler, M.F., and Sun, A., 2017. Parallel multiobjective optimization for the coupled compositional/geomechanical modeling of pulse testing. SPE Reservoir Simulation Conference, Montgomery, Texas, 20-22 Feb.	Proc.
29)	Min, B., Wheeler, M.F., and Sun, A., 2016. Multi-objective optimization of pulse testing results using parallel compositional simulations for reservoir characterization of a CO₂-EOR field in Mississippi. AGU Fall Meeting 2016, San Francisco, CA, USA, 12-16 Dec.
28)	Ping, J., Al-Hinai, O., Srinivasan, S., Wheeler, M.F., and Min, B., 2016. History matching for fractured reservoirs using mimetic finite differences and Ensemble Kalman Filter AGU Fall Meeting 2016, San Francisco, CA, USA, 12-16 Dec.
27)	Min, B., Wheeler, M.F., Sun, A., Srinivasan, S., Nwachukwu, A., and Lee, S., 2016. Application of evolutionary optimization algorithms to optimal design of hydraulic fracturing and subsurface modeling of carbon sequestration sites. The 25th Annual Industrial Affiliates Meeting of the Center for Subsurface Modeling at the University of Texas at Austin, Austin, Texas, 1-2 Nov.
26)	Min, B., Nwachukwu, A., Srinivasan, S., and Wheeler, M.F., 2016. Selection of geologic models based on Pareto-optimality using surface deformation and CO₂ injection data at the In Salah gas sequestration project SPE Annual Technical Conference and Exhibition, Dubai, Arab Emirates, 26-28 Sep.	Proc.
25)	Suk, H., Min, B., Kang, J.M., and Jeong, C., 2016. Prediction of facies distribution in a clastic reservoir using a hidden markov model combined with an expectation-maximization algorithm. Proceedings of the ASME International Conference on Ocean, Offshore and Arctic Engineering. 19-24 Jun.
24)	Min, B., Kang, J.M., Chung, S., Chu, M., Jo, S., Leem, J., Lim, S., and Suk, H., 2016. Development of integrated reservoir management software based on multi-evolution algorithm. Spring Conference and Exhibition of Korean Society of Mineral and Energy Resources Engineers, Wonju, Republic of Korea, 14-15 Apr.
23)	Min, B., Srinivasan, S., Wheeler, M.F., and Nwachukwu, A., 2016. Selection of geologic models based on Pareto-optimality using surface deformation and CO₂ injection data. Geological CO₂ Storage IAP at the University of Texas at Austin, Austin, Texas, 18 Feb.
22)	Nwachukwu, A., Srinivasan, S., Wheeler, M.F., and Min, B., 2016. Application of model selection for history matching the In Salah CO₂ sequestration field in Algeria. Geological CO₂ Storage IAP at the University of Texas at Austin, Austin, Texas, 18 Feb.
21)	Min, B., Nwachukwu, A., Srinivasan, S., and Wheeler, M.F., 2015. Model selection coupled with a particle tracking proxy using surface deformation data for monitoring CO₂ plume migration. AGU Fall Meeting 2015, San Francisco, CA, USA, 14-18 Dec.	Proc.
20)	Tavakoli, R., Ping, J., Min, B., Srinivasan, S., and Wheeler, M.F., 2015. History matching and parameter estimation for a CO₂ sequestration field project using ensemble-based algorithms. AGU Fall Meeting 2015, San Francisco, CA, USA, 14-18 Dec.	Proc.
19)	Min, B., Nwachukwu, A., Srinivasan, S., and Wheeler, M.F., 2015. Application of multi-objective optimization to reservoir characterization and production optimization. The 24th Annual Industrial Affiliates Meeting of the Center for Subsurface Modeling at the University of Texas at Austin, Austin, Texas, 3-4 Nov.
18)	Min, B., Srinivasan, S., and Wheeler, M.F., 2015. Pareto-optimization of expanding solvent steam assisted gravity drainage using an improved semi-analytical model. CPGE2015-Research Showcase in Petroleum and Geosystems Engineering, Austin, Texas, 8 Sep.
17)	Min, B., Kannan, K., Srinivasan, S., and Wheeler, M.F., 2015. Predicting and optimizing the performance of the Expanding Solvent Steam Assisted Gravity Drainage (ES-SAGD) process using an improved semi-analytical surrogate model. SIAM Conference on Mathematical and Computational Issues in the Geosciences, Stanford, California, USA, 29 Jun.-2 Jul.
16)	Suk, H., Kang, J.M., Chung, S., and Min, B., 2015. A prediction of reservoir facies from well log data using hidden Markov models. Spring Conference & Exhibition of Korean Society of Mineral and Energy Resources Engineers, Daejun, Republic of Korea, 29-30 Apr.
15)	Min, B., Kannan, K., and Srinivasan, S., 2014. Multi-objective optimization for ES-SAGD process. The 23rd Annual Industrial Affiliates Meeting of the Center for Subsurface Modeling at the University of Texas at Austin, Austin, Texas, 18-19 Nov.
14)	Kannan, K., Min, B., and Srinivasan, S., 2014. ES-SAGD design using hybrid multi-objective optimization approaches. CPGE2014-Research Showcase in Petroleum and Geosystems Engineering, Austin, Texas, 6-7, Nov.
13)	Moon, D.H., Min, B., Lim, J.H., Chung, S., and Kang, J.M., 2014. Optimization of infill well placement using multi-objective genetic algorithm coupled with real options. Joint Fall Conference_KSMER KSRM KSEG MIRECO KNOC, Jeju Island, Republic of Korea, 6-8 Nov.
12)	Kim, W., Kim, J., Park, J.H., Kang, J.M., Min, B., Lee, H., and Byun, J.H., 2013. Development of rate transient analysis tool for shale gas reserve estimation. Autumn Conference & Exhibition of Korean Society of Mineral and Energy Resources Engineers, Chuncheon, Republic of Korea, 17-18 Oct.
11)	Song, J.H., Kang, J.M., Lee, H., Min, B., and Jo, S., 2013. Modeling of annular flow in the horizontal pipe based on dissipated energy minimization theory. Autumn Conference & Exhibition of Korean Society of Mineral and Energy Resources Engineers, Chuncheon, Republic of Korea, 17-18 Oct.
10)	Jeong, S.H., Chung, S., Min, B., Kang, J.M., and Park, C., 2013. Optimal operation of fast-SAGD process considering steam channeling among vapor chambers. International Offshore and Polar Engineering Conference, Anchorage, Alaska, 30 Jun.-5 Jul.	Proc.
9)	Min, B., Park, C., Jang, I.S., Lee, H., Chung, S., and Kang, J.M., 2013. Multi-objective history matching allowing for scale-difference and the interwell complication. EAGE Conference & Exhibition incorporating with SPE EUROPEC, London, UK, 10-13 Jun.	Proc.
8)	Min, B., Chung, S., Kim, W., Kang, J.M., Song, C.H., and Yeo, M.J., 2012. Sensitivity analysis for heavy oil production: case study on A field in Canada. Spring Conference & Exhibition of Korean Society for Geosystem Engineering, Jeju, Republic of Korea, 3-4 May
7)	Song, C.H., Seo, J.G., Yeo, M.J., Jin, G.H., Min, B., and Chung, S., 2012. Methods to control water coning in heavy oil field with bottom aquifer. Spring Conference & Exhibition of Korean Society for Geosystem Engineering, Jeju, Republic of Korea, 3-4 May
6)	Min, B., Park, C., Kang, J.M., Ahn, T.W., Chung, S., and Kim, S.Y., 2011. Optimal injector placement coupled multi-objective genetic algorithm with a black-oil simulator in waterflooding project. EAGE Conference & Exhibition incorporating with SPE EUROPEC, Vienna, Austria, 23-26 May	Proc.
5)	Kam, D., Park, C., Kang, J.M., Min, B., and Chung, S., 2011. Injection strategy of solvent-aided thermal process for optimal bitumen production in oil sand reservoirs. EAGE Conference & Exhibition incorporating with SPE EUROPEC, Vienna, Austria, 23-26 May	Proc.
4)	Chung, S., Min, B., Park, C., Kang, J.M., and Kam, D., 2011. Operation strategy of steam and gas push in the presence of top water thief zone. EAGE Conference & Exhibition incorporating with SPE EUROPEC, Vienna, Austria, 23-26 May	Proc.
3)	Min, B. and Kang, J.M., 2006. Reservoir performance prediction using artificial neural network. Autumn Conference & Exhibition of Korea Society for Energy Engineering, Jeju, Republic of Korea, 23 Nov.
2)	Park, H.J., Lim, J.S., Kang, J.M., Roh, J.Y., and Min, B., 2006. A hybrid artificial intelligence method for the optimization of integrated gas production system. Paper SPE 100997 presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, Adelaide, Australia, 11-13 Sep.	Proc.
1)	Park, H.J., Lim, J.S., Roh, J.Y., Kang, J.M., and Min, B., 2006. Production system optimization of gas fields using hybrid fuzzy/genetic approach. Paper SPE 100179 presented at the SPE Europec/EAGE Annual Conference and Exhibition, Vienna, Austria, 12-15 Jun.	Proc.

3 Books & Dissertations

3)	Min, B. et al., 2021; 2050 Hydrogen Energy, Raonbook, Republic of Korea, Dec. 20, 2021.	Book
2)	Min, B., 2013; Development of a Multi-Objective History Matching Model to Predict Individual Well Performance, PhD Dissertation, Seoul National University, Republic of Korea, February 2013.	Thesis
1)	Min, B., 2007; Well Placement Optimization Using Artificial Neural Network, Master Thesis, Seoul National University, Republic of Korea, February 2007.	Thesis

5 Patents & Programs

5)	METHOD AND APPARATUS FOR ESTIMATING RESERVOIR PARAMETERS BASED ON PHYSICAL GEOMETRY DATA Application No. 10-2021-0172917. Dec. 6, 2021. Korean Intellectual Property Office.
4)	METHOD AND APPARATUS FOR DETERMINING INFILL WELL LOCATION USING MULTI-MODAL CONVOLUTIONAL NEURAL NETWORK Application No. 10-2021-0068374. May 27, 2021. Korean Intellectual Property Office.
3)	METHOD AND APPARATUS FOR DETERMINING WELL LOCATION USING CONVOLUTIONAL NEURAL NETWORK AND ROBUST OPTIMIZATION Application No. 10-2021-0060151. May 10, 2021. Korean Intellectual Property Office.
2)	SNU IRMS (Seoul National University Integrated Reservoir Management System) Program Registration No. C-2015-029632. Dec. 8, 2015. Korea Copyright Commission.
1)	Multi-objective optimization for history-matching of production history data Patent No. 10-1462349. Nov. 10, 2014. Korean Intellectual Property Office.