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Dive into the research topics where Seeyub Yang is active.

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Featured researches published by Seeyub Yang.


Computers & Chemical Engineering | 2017

Optimal pumping schedule design to achieve a uniform proppant concentration level in hydraulic fracturing

Seeyub Yang; Prashanth Siddhamshetty; Joseph Kwon

Abstract We present a novel design framework of an optimal and practical pumping schedule to achieve uniform proppant concentration across fracture at the end of pumping. By using the average viscosity to approximate concentration dependence of fracture propagation, a set of constant-concentration pumping schedules is applied to the developed dynamic model, each of which is carefully chosen by taking into account the practical constraints such as the limit on the change of proppant concentration between pumping stages and the desired fracture geometry that has to be satisfied at the end of pumping for maximum productivity. Then, a practically-feasible target concentration profile is obtained via linear combinations of the generated spatial concentration profiles, and mass balance is applied to the practically-feasible target concentration to calculate the duration of each pumping stage. We apply the generated pumping schedule to the high-fidelity hydraulic fracturing model, and the performance is compared with Noltes pumping schedule.


Computers & Chemical Engineering | 2017

Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs

Prashanth Siddhamshetty; Seeyub Yang; Joseph Kwon

Abstract We present a novel control framework for the closed-loop operation of a hydraulic fracturing process. Initially, we focus on the development of a first-principle model of a hydraulic fracturing process. Second, a novel numerical scheme is developed to efficiently solve the coupled partial differential equations defined over a time-dependent spatial domain. Third, a reduced-order model is constructed, which is used to design a Kalman filter to accurately estimate unmeasurable states. Lastly, model predictive control theory is applied for the design of a feedback control system to achieve uniform proppant concentration across the fracture at the end of pumping by explicitly taking into account the desired fracture geometry, total amount of proppant injected, actuator limitations, and safety considerations. We demonstrate that the proposed control scheme is able to generate a spatial concentration profile which is uniform and close to the target concentration compared to that of the benchmark, Noltes pumping schedule.


advances in computing and communications | 2017

Modeling of hydraulic fracturing and developing a new pumping schedule to achieve uniform proppant concentration

Prashanth Siddhamshetty; Seeyub Yang; Joseph Kwon

In this work, we initially focus on modeling of hydraulic fracturing processes. Then, we present a methodology for the design of a pumping schedule to achieve uniform proppant concentration at the end of pumping. The pumping schedule is designed by taking into account the effect of proppant particles on fracture propagation. We generate multiple spatial concentration profiles and approximate the target concentration by the piecewise combination of the generated spatial concentration profiles. As a result, a piecewise concentration profile that best describes the target concentration is obtained, and an inverse problem is formulated based on the law of conservation of mass to calculate the duration of each pumping stage with a specific proppant concentration. We show that the produced concentration profile is closer to the target concentration compared to Noltes pumping schedule, which is one of the most commonly used pumping schedules. Furthermore, the proposed design scheme is optimal because it directly takes into account practical constraints such as the limit on the change of the proppant concentration between pumping stages and the desired fracture geometry that has to be satisfied at the end of pumping.


Computer-aided chemical engineering | 2012

Carbon Dioxide Liquefaction Process for Ship Transportation

Ung Lee; Seeyub Yang; Yeong Su Jeong; Youngsub Lim; Chi Seob Lee; Chonghun Han


Korean Journal of Chemical Engineering | 2011

CO 2 Capture Process using Aqueous Monoethanolamine (MEA): Reduction of Solvent Regeneration Energy by Flue gas Splitting

Jaeheum Jung; Youngsub Lim; Yeong Su Jeong; Ung Lee; Seeyub Yang; Chonghun Han


Korean Journal of Chemical Engineering | 2012

Process Design and Cost Estimation of Carbon Dioxide Compression and Liquefaction for Transportation

Seeyub Yang; Ung Lee; Youngsub Lim; Yeong Su Jeong; Jeongnam Kim; Chiseob Lee; Chonghun Han


Computer-aided chemical engineering | 2012

Post-Combustion CO2 Capture Process with Aqueous MEA: An Advanced MEA Process using a Phase Separation Heat Exchanger

Jaeheum Jung; Yeong Su Jeong; Ung Lee; Youngsub Lim; Seeyub Yang; Chi Seob Lee; Jaehyung Kim; Chonghun Han


Journal of Loss Prevention in The Process Industries | 2017

Accident analysis of the Gumi hydrogen fluoride gas leak using CFD and comparison with post-accidental environmental impacts

Seeyub Yang; Kyeongwoo Jeon; Dongju Kang; Chonghun Han


한국가스학회 학술대회논문집 | 2013

Parameter Optimization for Efficiency Improvement of Retrofitted Power Plant Integrated with CO₂ Capture Process

Jinjoo An; Ung Lee; Seeyub Yang; Chonghun Han


Archive | 2013

Liquefaction of Carbon Dioxide with Ammonia Absorption Chiller System and its Energy Reduction

Seeyub Yang; Su Jeong Yeong; Chiseob Lee; Pill Cho Seong; Chonghun Han

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Chonghun Han

Pohang University of Science and Technology

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Ung Lee

Seoul National University

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Yeong Su Jeong

Seoul National University

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Youngsub Lim

Seoul National University

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Jaeheum Jung

Seoul National University

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Chi Seob Lee

Korea Electric Power Corporation

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Dongju Kang

Seoul National University

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Jaehyung Kim

Korea Electric Power Corporation

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