A5019835624- Reservoir Engineering and Simulation Methods
- Hydraulic Fracturing and Reservoir Analysis
- CO2 Sequestration and Geologic Interactions
- Enhanced Oil Recovery Techniques
- Hydrocarbon exploration and reservoir analysis
- Drilling and Well Engineering
- Groundwater flow and contamination studies
- Seismic Imaging and Inversion Techniques
- Atmospheric and Environmental Gas Dynamics
- Oil and Gas Production Techniques
- Phase Change Materials Research
- Energy and Environmental Systems
- Adsorption and Cooling Systems
- Geological Modeling and Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Meteorological Phenomena and Simulations
- Neural Networks and Applications
- Methane Hydrates and Related Phenomena
- Hybrid Renewable Energy Systems
- Energy, Environment, and Transportation Policies
- Time Series Analysis and Forecasting
- Smart Materials for Construction
- Data Stream Mining Techniques
- Chemical Looping and Thermochemical Processes
- Underwater Vehicles and Communication Systems
Seoul National University
2010-2025
Korea Institute of Energy Research
2022
The University of Texas at Austin
2013-2019
Bureau of Economic Geology
2018
Bureau of Economic Analysis
2017-2018
Pohang University of Science and Technology
1996-1997
Abstract Numerical simulation of flow and transport in heterogeneous formations has long been studied, especially for uncertainty quantification risk assessment. The high computational cost associated with running large‐scale numerical simulations a Monte Carlo sense motivated the development surrogate models, which aim to capture important input‐output relations physics‐based models but require only fraction full model runs. In this work, we formulate conditional deep convolutional...
Abstract The effects of well locations and control parameters on reservoir responses is important during CO2 enhanced oil recovery (CO2-EOR) water-alternating-gas (WAG) injection. Oil storage capacity typically vary with respect to corresponding changes in WAG ratio, slug size, injector locations. relationships between response variables are usually studied using compositional simulators. However, the computational expense required run such simulators could hinder their applicability...
Shale gas, as an environmentally friendly fossil energy resource, has gained significant commercial development and shows immense potential. However, accurately predicting shale gas production faces substantial challenges due to the complex law of decline, nonlinear non-stationary features in data, which greatly repair robustness current models time series. To address these improve accuracy forecasting, this paper introduces a novel innovative approach: hybrid proxy model that combines...
To ensure the efficient operation of production wells and to avoid flow assurance issues, accurately predicting pressure gradients, Δp/ΔL, in is crucial. This study explores relationship between Δp/ΔL well geometries. The data from 29,047 across five shale gas basins utilized: Bakken, Barnett, British Columbia, Marcellus, Delaware. These have distinct reservoir properties diverse Each well's geometry was characterized by ten parameters, k-medoids clustering applied identify patterns....
The exploitation of tight oil faces significant challenges due to their low permeability, complex pore structures, and rapid production decline rates. Water-based enhanced recovery (EOR) methods hold great promise cost wellbore safety. However, effectiveness is significantly constrained by injectivity clay swelling. water huff-n-puff strategy has demonstrated success in the Tuha Oilfield achieving economic production. Nevertheless, deeper mechanistic understanding needed elucidate underlying...
Purpose: This study examines the impact of Farmer Managed Natural Regeneration (FMNR) adoption and varying implementation levels on local residents’ perceptions attitudes toward environmental conservation forest restoration, as well their engagement in activities, Tsavo ecosystem dispersal area Kenya. The analysis further aims to suggest strategies ensure sustainability FMNR, promoting voluntary participation solidarity among residents. Originality: By assessing extent which implementing...
Ensemble Kalman filter (EnKF) has been researched for reservoir characterization in petroleum engineering. However, the repeated assimilation causes lots of simulation cost. smoother (ES) assimilates all available data once. It advantages over EnKF: efficiency and simplicity. The two ensemble methods are based on same assumptions: Gaussian distribution trust mean ensembles. Many researchers have pointed out that EnKF gives overshooting divergence problems when key assumptions not satisfied....
Ensemble Kalman filter (EnKF) has the limitation of applications for multi-point geostatistics because it assumes Gaussian random field. It also uses all ensembles to get covariance matrix, even though they have different permeability field each other, resulting in divergence. The proposed method suggests concept clustered by grouping initial using a distance-based method. Hausdorff distance is used calculating similarity between fields and are separated k-means clustering. When EnKF applied...
Ensemble-based analyses are useful to compare equiprobable scenarios of the reservoir models. However, they require a large suite models cover high uncertainty in heterogeneous and complex For stable convergence ensemble Kalman filter (EnKF), increasing size can be one solutions, but it causes computational cost large-scale systems. In this paper, we propose preprocessing good initial model selection reduce size, then, EnKF is utilized predict production performances stochastically. scheme,...