جستجوی مقالات مرتبط با کلیدواژه "monte carlo" در نشریات گروه "مهندسی شیمی، نفت و پلیمر"

Pigging is one of the conventional processes in the oil and gas industries, which is done in order to remove sediments from pipelines and also perform some non-destructive tests. On the other hand, due to various branches in the main pipeline, there is a possibility of stopping the pig. The right solution is to use mesh caps that not only prevent the pig from getting stuck, but also guarantee the passage of flow through all the main and secondary lines. According to the opinions of technical inspectors, there is no comprehensive information about the presence/absence of these caps in a large number of branches. The industrial radiography lacks the ability to detect the presence and absence of the cap in a fully filled pipe due to the average energy of the emitted beam and its geometrical structure. It is focused on the conceptual design of the nuclear system for investigating the possibility of pigging in the location of pipeline branches in the Monte Carlo environment. Ultimately, the results show the fact that in the situation where the source and the detector are perpendicular to the axis of the main and secondary branches and facing each other, the maximum counting sensitivity and discrimination can be achieved. Moreover, the relative difference of two states with and without the presence of metal grid for two states of filling the pipe with air and oil is equal to 53.8% and 57.1%, respectively.

In the process of extracting gas and condensate from the seabed, we often encounter a multiphase flow. Multiphase fluid flow to pass through the transmission pipes requires the separation of outgoing water from the formation on offshore platforms in order to eliminate corrosion effects in downstream facilities such as refinery. Formation water often enters the sea after separation. Water monitoring of the formation in terms of salinity is an important part of the process of measuring the volumetric rate of multiphase flow components at the separator site by single-phase metering systems. Considering the high dependence of parameters such as density, viscosity and electrical conductivity of fluid to salinity level, we decided to investigate the possibility of conceptual design of formation water salinity system based on gamma technique. The change in the key characteristics related to the gamma beam shaping module emitted from the cobalt-60 radioactive source and with the consideration of radiation safety of personnel, it was obtained the optimum geometric and dimensional conditions of the collimator in order to achieve maximum accuracy in different amounts of salinity fraction of sodium iodide salt in water measurement.

Separation of alkanes isomers by zeolite has a special importance. In this study, Monte Carlo technique was employed to molecular simulate the adsorption of pure and binary mixtures of pentane isomers in MFI zeolite. The influences of the aluminium content on pentane isomers adsorption on MFI zeolites (Si/Al ratios 18, 31 and ∞) were investigated. Results of this study show different adsorption and selectivity properties with different Si/Al ratios that related to straight and zigzag channels structure of MFI zeolite. MFI selectivity for adsorption of linear alkanes was increased with increasing pressure. Due to adsorption competition, adsorption selectivity in mixture was more than pure. Increase the temperature result in decreasing adsorption amount and selectivity that related to the adsorption pressure.

In reservoir management, the key goal is to reach the maximum economic profit. This can be achieved by the evaluation of economic parameters. One of the main factors in the economic evaluation and capital expenditure of any filed development is the number of wells necessary to reach the optimum hydrocarbon production from the reservoir. In this paper, an attempt has been made to select the optimum number of wells in one of the Iran southwest carbonate reservoirs. Uncertainty analysis has been carried out using MonteCarlo and Genetic Algorithm techniques. Both horizontal and vertical wells were analyzed, and the number of scenarios were performed to select the optimum number of wells. The best scenarios from an economic point of view were selected for field development.

The Monte Carlo simulation method and its mode of actions in different processes are introduced. This article addresses some answers to some frequent questions raised by students of chemical and polymer engineering on Monte Carlo simulation methods. The interesting name on this method and the extraordinary developments in both soft and hardware facilities in computer world encourage the researchers to explore and solve complex problems using this method. Consequently، the increase in the number of research areas in academic centers focuses on the stochastic and especially on the Monte Carlo methods. The fundamental issues and requirements are presented for how to begin the Monte Carlo simulation method. A little historical origin and a detailed example are given as standard reference for students who are willing to pursue their research on Monte Carlo simulation methods.