User profiles for Kyungbook Lee
 | Kyungbook Lee(이경북)Kongju National University Verified email at kongju.ac.kr Cited by 1209 |
Prediction of shale-gas production at Duvernay formation using deep-learning algorithm
Decline–curve analysis (DCA) is an easy and fast empirical regression method for predicting
future well production. However, applying DCA to shale–gas wells is limited by long …
future well production. However, applying DCA to shale–gas wells is limited by long …
Ensemble-based data assimilation in reservoir characterization: A review
This paper presents a review of ensemble-based data assimilation for strongly nonlinear
problems on the characterization of heterogeneous reservoirs with different production histories…
problems on the characterization of heterogeneous reservoirs with different production histories…
The kinetic effects of hydrate anti-agglomerants/surfactants
…, H Zhang, W Ou, B Fang, Y Liang, L Zhang, K Lee… - Fuel, 2022 - Elsevier
The addition of anti-agglomerants (AAs) is a promising solution for decreasing the risk of
gas hydrate plugging in deepwater hydrocarbon flowlines or during drilling operations. AAs (…
gas hydrate plugging in deepwater hydrocarbon flowlines or during drilling operations. AAs (…
Efficient and robust optimization for well patterns using a PSO algorithm with a CNN-based proxy model
One objective of the field development plan (FDP) is to optimize well patterns, that is, the
number and type of well (producers or injectors) and their locations, in order to maximize net …
number and type of well (producers or injectors) and their locations, in order to maximize net …
[HTML][HTML] Efficient assessment of reservoir uncertainty using distance-based clustering: a review
This paper presents a review of 71 research papers related to a distance-based clustering (DBC)
technique for efficiently assessing reservoir uncertainty. The key to DBC is to select a …
technique for efficiently assessing reservoir uncertainty. The key to DBC is to select a …
A review of design factors in steam and gas push for eco-friendly oil sands production and its field application in Canada
Steam and gas push (SAGP) reduces greenhouse gas emissions by co-injecting non-condensable
gas (NCG) with steam, preventing heat loss to thief zones and maintaining steam …
gas (NCG) with steam, preventing heat loss to thief zones and maintaining steam …
Improvement of ensemble smoother with clustered covariance for channelized reservoirs
Ensemble Kalman filter (EnKF) has been researched for reservoir characterization in
petroleum engineering. However, the repeated assimilation causes lots of simulation cost. …
petroleum engineering. However, the repeated assimilation causes lots of simulation cost. …
Generation of synthetic density log data using deep learning algorithm at the Golden field in Alberta, Canada
This study proposes a deep neural network‐ (DNN‐) based prediction model for creating
synthetic log. Unlike previous studies, it focuses on building a reliable prediction model based …
synthetic log. Unlike previous studies, it focuses on building a reliable prediction model based …
Missing sonic logs generation for gas hydrate-bearing sediments via hybrid networks combining deep learning with rock physics modeling
Logging-while-drilling (LWD) sonic data are critical for marine gas hydrate reservoir evaluation
and production prediction. However, acquiring complete acoustic logs, particularly shear …
and production prediction. However, acquiring complete acoustic logs, particularly shear …
Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization
History matching is a crucial procedure for predicting reservoir performances and making
decisions. However, it is difficult due to uncertainties of initial reservoir models. Therefore, it is …
decisions. However, it is difficult due to uncertainties of initial reservoir models. Therefore, it is …