The prediction of rock properties in the subsurface from geophysical data generally requires
the solution of a mathematical inverse problem. Because of the large size of geophysical …

Robust and efficient optimization of post-history well production schedule under history-
matched geomodel known as closed-loop production management is crucial to achieve …

Shale gas production prediction under history-matching-based geomodel is crucial to
achieve reliable assessment and economic management of unconventional shale …

History matching based on monitoring data will enable uncertainty reduction, and thus
improved aquifer management, in industrial-scale carbon storage operations. In traditional …

For history-matching problems, simulations of reservoir models usually involve high
computational costs. Surrogate modeling based on deep learning has proved to be an …

Data-space inversion (DSI) methods provide posterior (history-matched) predictions for
quantities of interest, along with uncertainty quantification, without constructing posterior …

It is incumbent on decision-support hydrological modelling to make predictions of uncertain
quantities in a decision-support context. In implementing decision-support modelling, data …

Efficient coupling of high-fidelity simulation models and history-monitored data to predict
future migration behavior of CO 2 plume is crucial for leakage risk management and …

A data-space inversion (DSI) method has been recently proposed and successfully applied
to the history matching and production prediction of reservoirs. Based on Bayesian theory …

Data-space inversion (DSI) and related procedures represent a family of methods applicable
for data assimilation in subsurface flow settings. These methods differ from usual model …