... 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...

.... Ensemble Smoother with Multiple Data Assimilation (ESMDA) is utilized to reduce the error at each step of the history matching. Next, a best-matched candidate is selected for numerical optimization to maximize oil production rates with constraints satisfying field conditions. Excellent history-matching...

... efficiency, are considered. Appropriate linear and nonlinear constraints, involving the geometry of the well configuration, injection rates, and injected mass (for pressure management), are specified. Two derivative-free algorithms, particle swarm optimization (PSO) and differential evolution (DE...

... conditions) and show that with the proper implementation of physical constraints, a robust solution can be trained within a reasonable amount of time and iterations. We revisit some of the limitations presented in previous work [ 1 ] and further the applicability of this method in a forward, pure hyperbolic...

... Abstract When coupling reservoir simulators to surface network solvers, an often used strategy is to perform a rule or priority-driven allocation based on individual well and group constraints, augmented by back-pressure constraints computed periodically by the network solver. The allocation...

... n f . The force balance of the internal boundary is implemented with contact and stick constraints. Geomechanics Under dynamic conditions, linear, poroelastic momentum conservation is required allowing resolution of the onset of the rupture and injection-induced seismic events. We solve...

... management. In the coupled model the subsurface reservoir simulator generates well inflow performance relationship (IPR) curves which are used by the surface network model to determine well rates that satisfy surface constraints. In the proposed proxy model, the CPU intensive reservoir simulation...

... to effectively set all local constraints at various measured depths. This paper describes special constructs called "boundary segments" with a similar set of flow rate and pressure control modes to those available for tubinghead or bottomhole well control. In a multisegment well model whose topology consists...

... simulator. NVWM can satisfy this condition as it uses the same set of variables as for reservoir solution. Moreover, this will allow for reuse of many reservoir solution computations (e.g., property calculation, accumulation term, equilibrium constraints) and thus the development can be more efficient...

... i j such that sup U ‖ U − U ¯ ) ‖ H ‖ U ‖ L 2 ≤ C 0 where C 0 is a uniform constant and U ¯ ∈ span { ϕ i j } . The above supremum is taken over all fine scale functions U with the following constraint (6...

..., with a large historical (70y) and prediction (200y) time periods, 10s of millions of cells and thousands of wells, many injection and production constraints and drilling targets. Each of these giant fields requires a parallel supercomputer to run each individual model in a reasonable time. To couple many...

... Abstract Solving a large-scale optimization problem with nonlinear state constraints has proven to be challenging when adjoint gradients are not available for computing the derivatives needed in the basic optimization algorithm employed. Here, we present a methodology for the solution...

... and constraints, (ii) interact with software to identify, screen, and maximize the opportunity, (iii) interact with reservoir to understand the physics for meaningful solutions, and (iv) interact with candidate solutions for the most rigorous one. Data analytics is used in this interactive workflow, boosting...

... constraints are imposed on the production facilities, for example through a fixed pressure the FPSO, and they will act as the main constraint for the overall coupled simulation. Therefore, the modeling workflow then has to manage the flow behavior in the networks to dynamically update the wellhead pressures...

... together, the constraints that minimum distance between any two well trajectories is greater than or equal to a prescribed distance are also enforced in this paper. To the best of our knowledge, this paper presents the first illustration of the joint optimization of well placement and control...

... several numerical experiments, we show that the proposed formulation offers a flexible facies model calibration approach that can be applied to problems with multiple facies types. An important aspect of this method is that it incorporates the discreteness of the underlying structure as a soft constraint...

... Abstract In a fully integrated reservoir model consisting of one or more reservoirs and a surface network of complex wells and facilities, determining the active constraints in the network, while ensuring that the network equations are nonsingular, is a challenge. This paper introduces...

... production optimization formulation that explicitly incorporates both NPV and rate of return. As such, this approach may represent an alternative to existing treatments that entail the bi-objective optimization of long-and short-term NPV. investment trajectory Artificial Intelligence constraint...

... steam from escaping the steam chamber into the production well. A numerical steam-trap based on thermodynamic approach was implemented by Edmunds (1998) and it has been used in simulations with Sink/Source or more advanced wellbore models in commercial codes. In this approach, a hard constraint...

... constraint RML method machine learning reservoir simulation objective function unconditional realization Artificial Intelligence history matching computational cost realization Reynolds base case global-dgn rml method production data algorithm green curve Bayesian Inference Upstream Oil...