oil production optimization is one of the main targets of reservoir management. smart well technology gives the ability of real time oil production optimization. although this technology has many advantages; optimum adjustment or sizing of corresponding valves is still an issue to be solved. in this research, optimum port sizing of inflow control devices (icds) which are passive control valves ...

Production strategy from a hydrocarbon reservoir plays an important role in optimal field development in the sense of maximizing oil recovery and economic profits. To this end, self-adapting optimization algorithms are necessary due to the great number of variables and the excessive time required for exhaustive simulation runs. Thus, this paper utilizes genetic algorithm (GA), and the objective...

Equations of state should be tuned to reservoir conditions by PVT tests for phase behavior modeling. This tuning is achievable via an optimization method. In this work, simulated annealing algorithm is applied as a global optimization method to parameter optimization for PC-SAFT from the statistical associating fluid theory incorporating hard chain as reference fluid. The optimization parameter...

Carbon dioxide flooding is considered to be one of the most effective enhanced oil recovery methods for the light oil reservoirs. Depending on the operating pressure, the process might be miscible or immiscible. Minimum miscibility pressure (MMP) is the most important parameter for assessing the applicability of any miscible gas flood for an oil reservoir. The miscibility condition is determine...

Recovery Factor is an important parameter in determining commercial viability of the oil Reservoirs. Wettability is a major factor that affects oil Recovery. Therefore, changing rock wettability may enhance oil recovery. In this paper, the effect of polysilicon nanoparticles on wettability change of Iranian carbonate reservoir is investigated. To assess this, hydrophilic changes of carbonate ro...

This paper presents the use of numerical simulations coupled with optimization techniques in oil reservoir modeling and production optimization. We describe three main components of an autonomic oil production management framework. The framework implements a dynamic, data-driven approach and enables Grid-based large scale optimization formulations in reservoir modeling.

recovery factor is an important parameter in determining commercial viability of the oil reservoirs. wettability is a major factor that affects oil recovery. therefore, changing rock wettability may enhance oil recovery. in this paper, the effect of polysilicon nanoparticles on wettability change of iranian carbonate reservoir is investigated. to assess this, hydrophilic changes of carbonate ro...

The petroleum industry requires the best materials to reverse the rock wettability to water-wet state which give significantly improved oil recovery.Nanoparticles are suggested as enhanced oil recovery potential agents to decrease viscosity and alter the wettability of reservoir towards more water-wet. This study provides new insights into CuO nanoparticles effects on wett...

The Lorenz curve is used to estimate the heterogeneity of an oil reservoir. The corresponding permeability distributions in a series of concept reservoir models with a uniform average permeability but different heterogeneities are obtained and characterized by inverse calculation of the Lorenz curve. Then the development laws of a reservoir in relation to its heterogeneity are studied in method...

We use a pore-scale network model in conjunction with conventional reservoir-scale simulations to investigate wettability variation within an oil/water transition zone. If the initial water saturation within the transition zone is controlled by primary drainage, we predict that initial production behavior is the same regardless of wettability. However, if the initial water saturation has been m...