Closed-loop field development and management (CLFDM) is defined as a periodic update
of an uncertain field model using the latest measurements (data assimilation), followed by …

In this study, we present an efficient and flexible adjoint-based framework for history
matching and forecasting geothermal energy extraction at a large scale. In this framework …

We propose an approach to the solution of the automatic history-matching problem for
constructing models of high-viscosity oil reservoirs. It is based on a special parameterization …

In this work, we develop and apply a general methodology for optimal closed-loop field
development (CLFD) under geological uncertainty. CLFD involves three major steps …

Well location optimization aims to maximize the economic profit of oil and gas field
development while respecting various constraints. The limitations of the currently available …

The nonlinear nature of flow and transport in porous media requires a linearization of the
governing numerical-model equations. We propose a new linearization approach and apply …

Advanced data acquisition and process modelling technology provide 'real-time'data and
decision support capacity for different aspects of the resource extraction process. Closed …

Oilfield development optimization plays a vital role in maximizing the potential of
hydrocarbon reservoirs. Decision-making in this complex domain can rely on various …

We propose a model and numerical method for multiphase multicomponent flow simulation
in porous media for solving problems of hydrocarbon reservoir engineering. The method …

Short-term production planning in industrial mining complexes involves defining daily,
weekly or monthly decisions that aim to achieve production targets established by long-term …