Ensemble-based data assimilation in reservoir characterization: A review

S Jung, K Lee, C Park, J Choe - Energies, 2018 - mdpi.com
This paper presents a review of ensemble-based data assimilation for strongly nonlinear
problems on the characterization of heterogeneous reservoirs with different production …

Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization

H Jung, H Jo, S Kim, K Lee, J Choe - Journal of Petroleum Science and …, 2018 - Elsevier
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 …

Characterization of three-dimensional channel reservoirs using ensemble Kalman filter assisted by principal component analysis

B Kang, H Jung, H Jeong, J Choe - Petroleum Science, 2020 - Springer
Abstracts Ensemble-based analyses are useful to compare equiprobable scenarios of the
reservoir models. However, they require a large suite of reservoir models to cover high …

Construction of prior models for ES-MDA by a deep neural network with a stacked autoencoder for predicting reservoir production

J Kim, S Kim, C Park, K Lee - Journal of Petroleum Science and …, 2020 - Elsevier
The design of prior models has continued to receive research attention because of their
importance for ensemble-based methods. There are two approaches to ensemble design …

Model regeneration scheme using a deep learning algorithm for reliable uncertainty quantification of channel reservoirs

Y Lee, B Kang, J Kim, J Choe - Journal of Energy …, 2022 - asmedigitalcollection.asme.org
Reservoir characterization is one of the essential procedures for decision makings.
However, conventional inversion methods of history matching have several inevitable issues …

History matching of a channelized reservoir using a serial denoising autoencoder integrated with ES‐MDA

S Kim, B Min, S Kwon, M Chu - Geofluids, 2019 - Wiley Online Library
For an ensemble‐based history matching of a channelized reservoir, loss of geological
plausibility is challenging because of pixel‐based manipulation of channel shape and …

Regeneration of initial ensembles with facies analysis for efficient history matching

B Kang, J Choe - Journal of Energy Resources …, 2017 - asmedigitalcollection.asme.org
Reservoir characterization is needed for estimating reservoir properties and forecasting
production rates in a reliable manner. However, it is challenging to figure out reservoir …

Integration of an Iterative Update of Sparse Geologic Dictionaries with ES‐MDA for History Matching of Channelized Reservoirs

S Kim, B Min, K Lee, H Jeong - Geofluids, 2018 - Wiley Online Library
This study couples an iterative sparse coding in a transformed space with an ensemble
smoother with multiple data assimilation (ES‐MDA) for providing a set of geologically …

Reliable Initial Model Selection for Efficient Characterization of Channel Reservoirs in Ensemble Kalman Filter

D Kim, Y Lee, J Choe - Journal of Energy Resources …, 2023 - asmedigitalcollection.asme.org
Ensemble Kalman filter is typically utilized to characterize reservoirs with high uncertainty.
However, it requires a large number of reservoir models for stable and reliable update of its …

Weathering/ageing of liquefied natural gas cargoes during marine transport and processing on floating storage units and FSRU

DA Wood, M Kulitsa - Journal of Energy Resources …, 2018 - asmedigitalcollection.asme.org
The phenomenon of liquefied natural gas (LNG) cargo weathering is considered in terms of
the conditions influencing boil-off gas (BOG) rates during the offshore movements and …