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 …
(DBC) technique for efficiently assessing reservoir uncertainty. The key to DBC is to select a …
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 …
reservoir models. However, they require a large suite of reservoir models to cover high …
Feature extraction using a deep learning algorithm for uncertainty quantification of channelized reservoirs
Reservoir models are generated by geostatistics using available static data. However, there
is inherent uncertainty in the reservoir models due to limited information. A number of …
is inherent uncertainty in the reservoir models due to limited information. A number of …
[PDF][PDF] Insights on the Thermal Efficiency of SAGD from Data Analytics
H Pinto - 2020 - prism.ucalgary.ca
The research in this thesis explores three aspects of Steam-Assisted Gravity Drainage
(SAGD) oil recovery using public information, with the aim of uncovering new insights about …
(SAGD) oil recovery using public information, with the aim of uncovering new insights about …