- Reservoir Engineering and Simulation Methods
- Fluid Dynamics and Mixing
- Hydraulic Fracturing and Reservoir Analysis
- Hydrocarbon exploration and reservoir analysis
- Drilling and Well Engineering
- Innovative Microfluidic and Catalytic Techniques Innovation
- Heat Transfer and Boiling Studies
- Carbon Dioxide Capture Technologies
- Oil and Gas Production Techniques
- Enhanced Oil Recovery Techniques
- Fluid Dynamics and Heat Transfer
- Gas Dynamics and Kinetic Theory
- Methane Hydrates and Related Phenomena
- Process Optimization and Integration
- Advanced Control Systems Optimization
- Advanced Multi-Objective Optimization Algorithms
- Rheology and Fluid Dynamics Studies
- Plasma and Flow Control in Aerodynamics
- Flood Risk Assessment and Management
- Mineral Processing and Grinding
- Flow Measurement and Analysis
- CO2 Sequestration and Geologic Interactions
- Cyclone Separators and Fluid Dynamics
- Geological and Geophysical Studies
- Minerals Flotation and Separation Techniques
Korea Institute of Geoscience and Mineral Resources
2019-2025
Inje University
2019
University of Tulsa
2017-2018
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....
In this study, the severity of slugging is assessed by predicting maximum slug lengths (MSL) quickly using random forest (RF) algorithm based on geometric features well trajectories for a shale gas field. Severe one critical issues production engineering-wise because it causes operation shut-down. Thus should be predicted proactive measurements. A total 5033 were acquired from northeastern area British Columbia, Canada. The are described ten such as X, Y, and Z in Cartesian coordinate...
This study proposes a method based on multi-objective optimization to select facility and operational parameters for the basic design of an integrated CO2 transportation-injection-storage system. Multi-objective was conducted explore Pareto-optimal front composed non-dominated solutions. The performance proposed approach validated by applying it storage at saline aquifer. We set four decision variables (CO2 source pressure, pipeline inner diameter, injection well tubing temperature wellhead)...
The accurate prediction of pressure loss for two-phase slug flow in pipes with a simple and powerful methodology has been desired. calculation generally performed by complicated mechanistic models, most which require the iteration many variables. objective this study is to optimize previously proposed simplified model horizontal pipes, extending applicability turbulent conditions, i.e., high mixture Reynolds number near pipes. velocity field measured particle image velocimetry further...
An experimental study of the inclination angle (±2° from horizontal) effects on high viscosity oil and gas two-phase flow has been conducted, available multiphase models/correlations have evaluated using acquired data. The effect pipe slug characteristics highly viscous oil-gas was studied based 1,040 data points covering a wide range conditions liquid viscosities in 50.8-mm-ID at 2° downward upward inclinations horizontal. ranged 155 cP to 587 cP. Superficial velocities varied 0.1 m/s 0.8 5...
Yoon, I.J. and Hong, J.-W., 2019. Development of disaster prevention system based on deep neural network using learning with dropout. In: Lee, J.L.; J.-S.; Cho, W.C.; Muin, M., J. (eds.), The 3rd International Water Safety Symposium. Journal Coastal Research, Special Issue No. 91, pp. 186-190. Coconut Creek (Florida), ISSN 0749-0208.Recently, unprecedented abnormal climates disasters the greatest intensity have increased worldwide due to various problems such as global warming. In...
This study investigated the complexities of CO2 injection scenarios in reservoirs, emphasizing prediction phases at bottomholes wells. A novel data-driven deep-learning, adaptive factorization network (AFN), was introduced to consider various scenarios. AFN models were rigorously trained using an extensive dataset approximately 43,000 wells from seven leading shale gas basins North America. The categorized into two primary classes–supercritical and dense–as determined by prevailing flow...
This study investigated the complexities of carbon dioxide injection scenarios in reservoirs, emphasizing prediction phases at bottomholes wells. A novel data-driven deep-learning, adaptive factorization network, was introduced to consider various scenarios. network models were rigorously trained using an extensive dataset approximately 43,000 wells from seven leading shale gas basins North America. The categorized into two primary classes–supercritical and dense–as determined by prevailing...
As petroleum technology has developed, both slim-hold and directional drillings have developed as well. Although these techniques are currently being utilized in industry, the literature on them is still insufficient. In present study, friction coefficient, pressure loss, particle transport ratio pertaining to methods measured. It determined that quantities influenced by size concentration within flow, pipe rotation, flow volume, inclination of annulus. The study performed a concentric...
The purpose of the paper is to compare differences in computational fluid dynamics analysis results with or without viscous heating effect internal and external flows. To this end, energy equation applied pressure-based compressible flow solver was modified take into account effect. In addition, a method using dimensionless parameters proposed order understand overall trend that should consider heating. Through 2D analysis, it confirmed change pressure due hardly observed, but temperature...