... programming (SQP) method is used to perform nonlinearly constrained production optimization. The objective function considered here is the net present value (NPV), and the nonlinear state constraints are field liquid production rate (FLPR) and field water production rate (FWPR). NPV, FLPR, and FWPR...

... in term of return/risk ratio. The problem to solve can be defined as a multi-criterion objective function where the average of NPV is maximized, and the standard deviation of NPV is minimized. The optimization problem consists of identifying X * ∈ U such as: (2) J ( X * ) = X ∈ U...

... society of petroleum engineers Bayesian Inference infill well History conditioning reservoir model permeability NPV reservoir dynamic data Introduction Increasing uncertainty in the economic profitability of modern hydrocarbon projects leads to an increased focus on reservoir management...

... oil production time horizon short-term optimization proceedings optimization pareto optimality optimality NPV production optimization reservoir characterization short-term strategy Optimization Method articulation Introduction On average, less than half of the oil in reservoirs can...

... wellbores to optimize the operational parameters over net present value (NPV) and cumulative production. The results were obtained in a very short period of time, allowing users to sensitize the field over a number of parameters and optimize on the key variables. This study created a framework for future...

.... Insightful parametric sensitivity analyses are also presented. This model could also be used to study the potential of the deep UAE gas sands. fracturing materials proppant artificial intelligence fracturing fluid hydraulic fracturing upstream oil & gas optimization npv hydraulic fracture...