Characterization of three-dimensional channel reservoirs using ensemble Kalman filter assisted by principal component analysis
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 uncertainty in heterogeneous and complex reservoir models. For stable convergence in ensemble Kalman filter (EnKF), increasing...
Saved in:
Main Authors: | Byeongcheol Kang, Hyungsik Jung, Hoonyoung Jeong, Jonggeun Choe |
---|---|
Format: | article |
Language: | EN |
Published: |
KeAi Communications Co., Ltd.
2019
|
Subjects: | |
Online Access: | https://doaj.org/article/b43a10d2f73449c4b1748a919b1b4fab |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Parallel Implementation of the Deterministic Ensemble Kalman Filter for Reservoir History Matching
by: Lihua Shen, et al.
Published: (2021) -
Iterative static modeling of channelized reservoirs using history-matched facies probability data and rejection of training image
by: Kyungbook Lee, et al.
Published: (2018) -
Naturally fractured hydrocarbon reservoir simulation by elastic fracture modeling
by: Mehrdad Soleimani
Published: (2017) -
Adaptive Localization for Satellite Radiance Observations in an Ensemble Kalman Filter
by: Lili Lei, et al.
Published: (2020) -
Performance-based fractal fracture model for complex fracture network simulation
by: Wen-Dong Wang, et al.
Published: (2017)