Efficient deep-learning-based history matching for fluvial channel reservoirs
In history matching, the calibration of a prior reservoir model is computationally expensive
because many forward reservoir simulation runs are required. Multiple posterior (or …
because many forward reservoir simulation runs are required. Multiple posterior (or …
A novel data assimilation-based real-time state estimation method for gas influx profiling during riser gas events
Riser gas events during offshore drilling operations are hazardous and challenging to
control. Therefore, knowledge of the gas influx sizes and distributions in a marine drilling …
control. Therefore, knowledge of the gas influx sizes and distributions in a marine drilling …
Model regeneration scheme using a deep learning algorithm for reliable uncertainty quantification of channel reservoirs
Reservoir characterization is one of the essential procedures for decision makings.
However, conventional inversion methods of history matching have several inevitable issues …
However, conventional inversion methods of history matching have several inevitable issues …
Reliable Initial Model Selection for Efficient Characterization of Channel Reservoirs in Ensemble Kalman Filter
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 …
However, it requires a large number of reservoir models for stable and reliable update of its …
Reliable channel reservoir characterization and uncertainty quantification using variational autoencoder and ensemble smoother with multiple data assimilation
Y Ahn, J Choe - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Reservoir characterization is essential for reliable performance prediction and decision
making. In this study, a reliable scheme is suggested for channel reservoir characterization …
making. In this study, a reliable scheme is suggested for channel reservoir characterization …
Physics-Informed Sampling Scheme for Efficient Well Placement Optimization
Well placement optimization is a crucial task in terms of oil and gas recovery and economics
in the field development plan. It poses significant challenges due to the multitude of local …
in the field development plan. It poses significant challenges due to the multitude of local …
Fast and Reliable History Matching of Channel Reservoirs Using Initial Models Selected by Streamline and Deep Learning
Ensemble-based methods involve using multiple models for model calibration correct initial
models based on observed data. The assimilated ensemble models allow probabilistic …
models based on observed data. The assimilated ensemble models allow probabilistic …
Application of Latent Variable Evolution for Channel Reservoir Characterization using Generative Adversarial Networks and Particle Swarm Optimization
When characterizing channel reservoirs, ensemble-based methods may compromise
channel features due to the conflict between the Gaussian distribution assumption of the …
channel features due to the conflict between the Gaussian distribution assumption of the …