... Summary Life-cycle production optimization is a crucial component of closed-loop reservoir management, referring to optimizing a production-driven objective function via varying well controls during a reservoir's lifetime. When nonlinear-state constraints (e.g., field liquid production rate...

.... This is the first work that utilizes the Koopman operator for linearizing the system with controls to the author's knowledge. As with any ROM method, this can be directly applied to a well-control optimization problem and well-placement studies with low computational cost in the prediction step and good accuracy...

... connection in a volumetric grid. That is, one first builds a network of "reservoir nodes" to which wells can be subsequently connected. The network model is realized inside a fully differentiable simulator. To train the model, we use a standard mismatch minimization formulation, optimized by a Gauss-Newton...

... Abstract A general framework for optimizing the locations and time-varying injection rates of a set of monobore wells for geological carbon storage is presented and applied. Two objective functions, minimization of mobile CO 2 fraction at the end of the operation, and maximization of storage...

... Abstract We present a framework of the application of Bayesian Optimization (BO) to well management in geological carbon sequestration. The coupled compositional flow and poroelasticity simulator, IPARS, is utilized to accurately capture the underlying physical processes during CO 2...

... optimization. Here, we discuss, study, and compare ES-MDA and a gradient-based optimization for history-matching waterflooding models. We apply these two methods to history match reduced GPSNet-type models. To study the methods, we use an implementation of ES-MDA and a gradient-based optimization in the open...

... matching, 2) updating the ranges of priors to assure convergence, 3) the use of Long-Short Term Memory (LSTM) network as a low-fidelity model to produce continuous time-response, and 4) the use of Bayesian optimization to obtain the optimum low-fidelity model for Bayesian MCMC runs. We utilize the first...

...-matched models can be used for prediction of waterflooding performance and life-cycle waterflooding optimization. The INSIM-FT-3D model presented here extends INSIM-FT to three dimensions, considers gravity and enables the use of arbitrary well trajectories. INSIM-FT-3D places nodes at each well...

... has been widely studied and robust optimization methods have been developed to account for it, the uncertainty in future development plans has not been considered in optimization problems. Future development strategies have been included as decision variables in field development optimization problems...

... Abstract This paper presents a novel workflow to optimize Alkaline, Surfactant, and Polymer (ASP) flooding under oil price uncertainty. ASP flooding is a relatively expensive recovery process and the optimization approach must be able to account for the change in oil price to provide realistic...

... (2) J w s = w 1   *  J 1 + w 2  *  J 2 The allowable changes in the target points can be variable and controlled by a user to ensure drill ability of the wells. Usually the first target point can move during the optimization more than the other points...

... Summary Maximization of the yield of existing assets becomes more important than ever as the petroleum companies need to win in any business environment. In this context, model-based optimization technology plays an important role in managing efficiently the subsurface flow and can add...

... Abstract There has been much work done on the optimal well placement and control including some investigates on optimizing well types (injector or producer) and/or drilling order. However, to the best of our knowledge, there are no journal articles on the following problem that is sometimes...

... Abstract When geological uncertainty is considered in production optimization problem, robust optimization on a set of plausible reservoir models is essential. We consider biobjective optimization where the two objectives are to find the optimal trajectories and/or control settings of injectors...

... Abstract An ensemble-based production optimization technique is applied to a simulation model of OMERS Energy's Chigwell Viking ‘I’ Pool in order to determine optimal CO 2 -WAG cycle length, injection rates and production bottom hole pressures (BHPs). An ensemble-based approximate gradient...

... Abstract Multi-objective optimization (MOO) that accounts for several distinct, possibly conflicting, objectives is expected to be capable of providing improved reservoir management (RM) solutions for efficient oil field development owing to the overall optimization of subsurface flow...

... Abstract We present an efficient workflow that combines multiscale (MS) forward simulation and stochastic gradient computation - MS-StoSAG - for the optimization of well controls applied to waterflooding under geological uncertainty. The Iterative Multiscale Finite Volume (i-MSFV), a mass...

... Abstract Well Location Optimization (WLO) plays a critical role in maximizing recovery from hydrocarbon reservoirs. Identification of well locations typically relies on expert subsurface knowledge and ad-hoc flow simulation scenarios. Such approaches, due to the complexity and uncertainty...

... Abstract A new methodology for the joint optimization of economic project life and time-varying well controls is introduced. The procedure enables the maximization of net present value (NPV) subject to satisfaction of a specified modified internal rate of return. Use of this framework allows...

... stress, tip-induced shear stress, and reversal of stress anisotropy. To optimize multi-well-frac treatments, we numerically investigated fracture growth from the perspective of thermo-hydro-mechanical coupling. The coupled geomechanics and fluid-heat flow model is based on a mixed finite element...