..., respectively, are obtained from IMPES-like pressure equations and a Riemann solver that include gravity effects. With history-matched model(s) as the forward model(s), we estimate the optimal well controls (pressure or rates at control steps) that maximize the life-cycle net-present-value (NPV) of production...

... 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...

... they are combined in the PSO–MADS hybrid algorithm used in this work. Optimization problems Following Isebor et al. (2014b) , we pose the field development and well control optimization problem as a mixed integer nonlinear programming (MINLP) problem, which can be stated as follows: (1) ( P...

... which imposes a temporal correlation on the controls at each well. In this approach, well controls are parameterized in terms of a few optimization parameters which significantly reduces the dimension of the joint optimization problem. Moreover, the imposed smoothness on the well controls will result...

... and production data were history-matched using ensemble-based approaches. The well controls are optimized for the next ten years of production using the multiscale techniques Hi-MO and RHi-MO. Our approaches are successfully compared against a reference case, which applies the well rates used to forecast...

... is to develop implementations that can be applied for water flooding optimization under geological uncertainty where we wish to develop well controls that satisfy two objectives: the first is to maximize the expectation of life-cycle net-present-value (NPV) (commonly referred to as robust optimization...

... In this work, the optimization problem we consider is how to estimate the well controls which maximize the net-present-value (NPV) in a WAG EOR process. NPV is defined by (1) J ( u ) = ∑ n = 1 N t { Δ t n ( 1 + b ) t n 365 [ ∑ j...

... optimization commonly refers to the problem of estimating well controls (wellbore pressures or rates at specified control steps) that maximize the expectation of net-present-value (NPV) of life-cycle production over an ensemble of given reservoirs models. Unfortunately, the “optimal” well controls obtained may...

.... This modified gradient can then be used in a gradient-based optimization algorithm to find the minimum or maximum of a given cost function. In this work, we consider only a well known mathematical optimization test problem and published problems on estimating optimal well controls in closed-loop reservoir...

... to be applicable for realistic reservoir management. optimization problem objective function PSO Artificial Intelligence field development well control Upstream Oil & Gas Simulation optimization iteration optimization variable relaxation constraint particle spe 163631 procedure production...

..., without requiring correlation between well controls to provide smoothness. During the optimization procedure, the control steps are defined on a well-by-well basis considering the difference between well controls in two consecutive control steps and the gradient of the objective function with respect...

... We also consider particle swarm optimization (PSO), and a pattern search method for estimating optimal well controls which maximize NPV for the life of the reservoir. PSO is an evolutionary computation method inspired by the social behavior observed in nature ( Eberhart and Kennedy, 1995...

... upstream oil & gas enopt multiscale regularized enopt objective function well control producer artificial intelligence multiscale regularization optimization simulation run production optimization producer 1 bobyqa optimization algorithm gradient optimization problem control...

... vector x 0 at time t 0 , we can successively solve for the states x k at the later times t k for k = 1,2,…, N . In each time step t k-1 → t k the state transition x k-1 → x k requires the specification of a control vector u k which contains the well control for all wells...