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Minsoo Ji
Institutions:
Ewha Womans University,
Pohang Iron and Steel (South Korea)
Observed institutions:
Ewha Womans University,
Pohang Iron and Steel (South Korea),
University of Ulsan,
Ho Chi Minh City University of Technology
ORCID:
0000-0001-9372-0514
Observed ORCID:
0000-0001-9372-0514
OpenAlex ID:
A5048064809
Numerical investigation of CO2-carbonated water-alternating-gas on enhanced oil recovery and geological carbon storage
2023
·
Minsoo Ji
, Seoyoon Kwon
, et al.
·
Journal of CO2 Utilization
·
42
Multi-lateral horizontal well with dual-tubing system to improve CO2 storage security and reduce CCS cost
2022
·
Min Kim
, Seoyoon Kwon
, et al.
·
Applied Energy
·
24
Prediction of Water Saturation from Well Log Data using Deep Learning Algorithms
2021
·
Minsoo Ji
, Seoyoon Kwon
, et al.
·
Journal of the Korean Society of Mineral and Energy Resources Engineers
·
9
PDF
Generation of Synthetic Compressional Wave Velocity Based on Deep Learning: A Case Study of Ulleung Basin Gas Hydrate in the Republic of Korea
2022
·
Minsoo Ji
, Seoyoon Kwon
, et al.
·
Applied Sciences
·
8
PDF
Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization
2024
·
Seoyoon Kwon
, Minsoo Ji
, et al.
·
Mathematics
·
5
PDF
A Review on Deep Learning Applications in Logging Data to Model Gas-Hydrate-Bearing Sediments
2021
·
Gayoung Park
, Seoyoon Kwon
, et al.
·
Journal of the Korean Society of Mineral and Energy Resources Engineers
·
5
PDF
A simple, rapid and efficient flame synthesis of ultrafine LiNi 0.95−x Co x Ti 0.05 O 2 ( x = 0.25 and 0.30): a versatile route to synthesize Ni-rich cathode materials for Li-ion batteries
2017
·
Laxman Singh
, Jiwon Lee
, et al.
·
New Journal of Chemistry
·
5
Analysis of Data Disclosure and Reservoir Model of the Volve Oilfield in the North Sea
2021
·
Seoyoon Kwon
, Minsoo Ji
, et al.
·
Journal of the Korean Society of Mineral and Energy Resources Engineers
·
3
PDF
Generation of High-Resolution Well Log Data by Using a Deep-Learning Algorithm
2022
·
Gayoung Park
, Seoyoon Kwon
, et al.
·
Journal of the Korean Society of Mineral and Energy Resources Engineers
·
1
PDF
북해 Volve 유전 현장자료의 공공데이터화와 저류층 모델에 대한 분석
2021
·
Seoyoon Kwon
, Minsoo Ji
, et al.
물리검층자료를 활용한 딥러닝 기반 수포화도 예측
2021
·
Minsoo Ji
, Seoyoon Kwon
, et al.
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Works count:
12
Citation count:
102
H-index:
5
I10-index:
2
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