| Machine learning-based prediction of the shale barrier size and spatial location using key features of SAGD production curves M Kim, H Shin Journal of Petroleum Science and Engineering 191, 107205, 2020 | 27 | 2020 |
| Development and application of proxy models for predicting the shale barrier size using reservoir parameters and SAGD production data M Kim, H Shin Journal of Petroleum Science and Engineering 170, 331-344, 2018 | 23 | 2018 |
| Optimization of well placement and operating conditions for various well patterns in CO2 sequestration in the Pohang Basin, Korea C Jun, M Kim, H Shin International Journal of Greenhouse Gas Control 90, 2019 | 19 | 2019 |
| Machine-learning-based water quality management of river with serial impoundments in the Republic of Korea HW Lee, M Kim, HW Son, B Min, JH Choi Journal of Hydrology: Regional Studies, 2022 | 11 | 2022 |
| Multivariate approach to the gas production forecast using early production data for Barnett shale reservoir V Nguyen-Le, M Kim, H Shin, E Little Journal of Natural Gas Science and Engineering 87, 103776, 2021 | 11 | 2021 |
| Numerical simulation of undulating shale breaking with steam-assisted gravity drainage (UB-SAGD) for the oil sands reservoir with a shale barrier M Kim, H Shin Journal of Petroleum Science and Engineering 195, 107604, 2020 | 9 | 2020 |
| Multi-lateral horizontal well with dual-tubing system to improve CO2 storage security and reduce CCS cost M Kim, S Kwon, M Ji, H Shin, B Min Applied Energy 330 (Part B), 120368, 2023 | 8 | 2023 |
| Numerical investigation of CO2-carbonated water-alternating-gas on enhanced oil recovery and geological carbon storage M Ji, S Kwon, S Choi, M Kim, B Choi, B Min Journal of CO2 Utilization 74, 102544, 2023 | 7 | 2023 |
| Application of a dual tubing CO2 injection-water production horizontal well pattern for improving the CO2 storage capacity and reducing the CAPEX: A case study in Pohang basin … M Kim, H Shin International Journal of Greenhouse Gas Control 90, 2019 | 6 | 2019 |
| Development and field application of proxy models for predicting the shale barrier size using SAGD production DATA M Kim, H Shin SPE Asia Pacific Oil and Gas Conference and Exhibition, D012S036R005, 2017 | 4 | 2017 |
| A Statistical Approach to Predict the Size and Spatial Position of Shale Barrier using SAGD Production Data M Kim, H Shin International Field Exploration and Development Conference, Beijing, China, 2016 | 3 | 2016 |
| Generation of synthetic compressional wave velocity based on deep learning: A case study of ulleung basin gas hydrate in the Republic of Korea M Ji, S Kwon, M Kim, S Kim, B Min Applied Sciences 12 (17), 8775, 2022 | 1 | 2022 |
| Deep Learning-Based Prediction of the Cumulative Gas Production of the Montney Formation, Canada M Kim, V Nguyen-Le, H Shin, HS Lee Virtual GeoConvention 2020, 2020 | 1 | 2020 |
| Multi-Lateral Horizontal Well with Dual-Tubing System for Improving CO2 Storage Security and Reducing CCS Cost M Kim, S Kwon, M Ji, B Min Geoconvention 2022, 2022 | | 2022 |
| Multi-lateral horizontal well with dual-tubing system for reducing the CCS cost and improving CO2 storage security M Kim, B Min, H Shin AGU Fall Meeting Abstracts 2021, GC15A-0658, 2021 | | 2021 |
| Development of Production-Forecasting Model Based on the Characteristics of Production Decline Analysis Using the Reservoir and Hydraulic Fracture Parameters in Montney Shale … H Shin, V Nguyen-Le, M Kim, H Shin, E Little Geofluids 2021, 1-12, 2021 | | 2021 |
| Neural Network Models for Predicting the Size and Horizontal Location of Shale Barrier Using Reservoir Parameters and SAGD Production Data M Kim, H Shin, HS Lee GeoConvention 2019, 2019 | | 2019 |
| Application of a Dual Tubing CO2 Injection-Water Production System Using a Horizontal Well for Improving CO2 Storage Capacity: A Case Study in Pohang Basin, Offshore South Korea M Kim, H Shin 14th International Conference on Greenhouse Gas Control Technologies, GHGT-14, 2018 | | 2018 |
Hyundon ShinProfessor of Energy Resources Engineering, Inha UniversityVerified email at inha.ac.kr
