History matching is a type of inverse problem in which observed reservoir behavior is used
to estimate reservoir model variables that caused the behavior. Obtaining even a single …

Implementing an effective automatic history matching (AHM) is essential for the shale gas
reservoir characterization and production optimization. Embedded discrete fracture model …

Time-lapse seismic data provide information on the dynamics of multiphase reservoir fluid
flow in places where no production data from wells are available. This information, in …

Ensemble Kalman filtering (EnKF) is an efficient approach to addressing uncertainties in
subsurface groundwater models. The EnKF sequentially integrates field data into simulation …

New developments of electromagnetic and seismic techniques have recently revolutionized
the oil and gas industry. Time-lapse seismic data is providing engineers with tools to more …

An ensemble‐based history‐matching framework is proposed to enhance the
characterization of petroleum reservoirs through the assimilation of crosswell …

We propose a feature-oriented ensemble history-matching workflow with a focus on the
integration of time-lapse seismic and electromagnetic (EM) data. The developed workflow …

For numerical discretization schemes, the violation of enstrophy conservation causes a
systematic and unrealistic energy cascade towards high wave numbers. The same occurs in …

Although hydraulic fracturing enables economic production from tight formations, production
rates usually decline quickly and result in low hydrocarbon recovery. Moreover, it is difficult …

This work investigates an ensemble-based workflow to simultaneously handle generic,
nonlinear equality and inequality constraints in reservoir data assimilation problems. The …