... solutions which can help the operator shift work load from well design to more critical tasks. Artificial Intelligence drilling operation well planning trajectory design Directional Drilling lateral length constraint particle objective function KOP algorithm Wellbore Profile Energy...

... of the assisted history matching is building proxy model that interpolates the relationship between the objective function and the history matching parameters. Several proxy modeling techniques are introduced in the literature, some are useful and some are not. This paper provides a comparative study between...

... objective function bit wear drill position axis society of petroleum engineers inertia axis WOB Introduction Horizontal drilling can extend over larger area in contact with the reservoir providing higher productivity ( Babu and Odeh, 1989 ). Most of the research and development of oilfield aim...

... the performance of the method. The Net Present Value (NPV) was used as the objective function to gauge the suitability of the solution and hence optimize the different parameters to obtain the highest NPV. Both used optimization algorithms yielded NPV that were well within the acceptable range. Additionally...

... is accordingly a time-consuming, expensive, and often frustrating procedure and as a consequence, the assisted history matching technique has been arisen. In assisted history matching technique, the simulated data is compared to the historical data by means of a misfit function, objective function. The history...

... and deliberations while the objective function is the cumulative oil production. Several experiments were conducted using extensive three dimensional fine scale numerical simulations and the Box Behnken response surface methodology was used to derive the response surfaces. Single effects and interaction plots...

... indicate the superior performance of the filter-based MCS as it was able to quickly find feasible solutions even though all previous initial solutions were infeasible. The incorporation of filtering technique allows to assess the sensitivity of the objective function to the constraint violation...

... amount of work has been done in the area of well optimization for which both gradient based and gradient-free optimization methods were used. In gradient-based well optimization methods, the derivative of the objective function with respect to the decision variables is sought. In gradient-free...

.... The approach implemented in this work uses an iterative algorithm that minimizes a global objective function. The objective function includes the data misfit functional and a three-dimensional regularization that is needed to constrain the inversion to reasonable solutions. A weighting function based...

... upstream oil & gas optimization problem well location fine model lateral optimization process optimization algorithm genetic algorithm crossover injector bga cga objective function reservoir model population size probability convergence initial population producer Introduction...

... optimization process can be completed within a few hours under a parallel computing environment. Completion Monitoring Systems/Intelligent Wells produced water management and control Artificial Intelligence history matching reservoir simulation optimization problem objective function ensemble...