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ganjeh-ghazvini--mostafa
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Investigating the Dispersion Phenomenon in Fluid Flow through Porous Media Using Percolation Theory
, M.Sc. Thesis Sharif University of Technology ; Masihi, Mohsen (Supervisor) ; Ganjeh Ghazvini, Mostafa (Co-Advisor)
Abstract
Many processes in the petroleum engineering industry involve particle transport in oil and gas reservoirs including sand production, fines migration, and nanoparticle injection. In these processes it is important to understand where the particles are travelling in the reservoir and the impact that they have on the formation properties. Large particles can damage the formation and decrease permeability which reduces the productive capacity of the reservoir. During nanoparticle injection, forces at the pore level can cause retention of particles and prevent their recovery. In addition, due to the heterogeneity of typical reservoirs, it is difficult to predict how particles will spread across...
Study and Development of Dual Porosity/Permeability Models for Simulation of Forced Gravity Drainage Mechanism in Fractured Porous Media
, M.Sc. Thesis Sharif University of Technology ; Massihi, Mohsen (Supervisor) ; Gerami, Shahab (Supervisor) ; Ganjeh Ghazvini, Mostafa (Co-Advisor)
Abstract
The available investigations show that gravity drainage mechanism in fractured reservoir make a high recovery factor in comparison with other mechanisms. In recent years, the forced gravity drainage assisted by gas injection is also introduced; despite of its importance there is no comprehensive modeling study in the literature. The fractured reservoir is simulated frequently by dual porosity models in which the transfer function is the key issue for this method of simulation. This study makes an effort by comparison of different transfer functions with fine grid simulation results of a single block model, in order to evaluate their ability for simulation of forced gravity drainage...
Random walk-percolation-based modeling of two-phase flow in porous media: Breakthrough time and net to gross ratio estimation
, Article Physica A: Statistical Mechanics and its Applications ; Vol. 406, issue , July , 2014 , p. 214-221 ; ISSN: 03784371 ; Masihi, M ; Ghaedi, M ; Sharif University of Technology
2014
Abstract
Fluid flow modeling in porous media has many applications in waste treatment, hydrology and petroleum engineering. In any geological model, flow behavior is controlled by multiple properties. These properties must be known in advance of common flow simulations. When uncertainties are present, deterministic modeling often produces poor results. Percolation and Random Walk (RW) methods have recently been used in flow modeling. Their stochastic basis is useful in dealing with uncertainty problems. They are also useful in finding the relationship between porous media descriptions and flow behavior. This paper employs a simple methodology based on random walk and percolation techniques. The...
A new mathematical model for force gravity drainage in fractured porous media
, Article Transport in Porous Media ; Volume 83, Issue 3 , 2010 , Pages 711-724 ; 01693913 (ISSN) ; Kharrat, R ; Masihi, M ; Sharif University of Technology
2010
Abstract
In force gas/oil gravity drainage process in fractured porous media, gas is flowing in both matrix and fractures leading to produce a finite gas pressure gradient. Consequently, viscous force plays an important role for displacing matrix oil toward fractures in addition to gravity force that is required to be modeled appropriately. A new analytical model for estimation of steady state oil saturation distribution with assumption of fixed gas pressure gradient throughout the matrix is presented. Moreover, based on some results of this analytical model a different numerical formulation is developed to predict the performance of oil production process. Comparison of the results obtained from...
Study of heterogeneity loss in upscaling of geological maps by introducing a cluster-based heterogeneity number
, Article Physica A: Statistical Mechanics and its Applications ; Volume 436 , October , 2015 , Pages 1-13 ; 03784371 (ISSN) ; Masihi, M ; Baghalha, M ; Sharif University of Technology
Elsevier
2015
Abstract
The prediction of flow behavior in porous media can provide useful insights into the mechanisms involved in CO2 sequestration, petroleum engineering and hydrology. The multi-phase flow is usually simulated by solving the governing equations over an efficient model. The geostatistical (or fine grid) models are rarely used for simulation purposes because they have too many cells. A common approach is to coarsen a fine gird realization by an upscaling method. Although upscaling can speed up the flow simulation, it neglects the fine scale heterogeneity. The heterogeneity loss reduces the accuracy of simulation results. In this paper, the relation between heterogeneity loss during upscaling and...
Effect of connectivity misrepresentation on accuracy of upscaled models in oil recovery by CO2 injection
, Article Greenhouse Gases: Science and Technology ; Volume 6, Issue 3 , 2016 , Pages 339-351 ; 21523878 (ISSN) ; Masihi, M ; Baghalha, M ; Sharif University of Technology
Blackwell Publishing Ltd
2016
Abstract
An upscaling method such as renormalization converts a detailed geological model to a coarse one. Although flow equations can be solved faster on a coarse model, its results have more errors. Numerical dispersion, heterogeneity loss, and connectivity misrepresentation are the factors responsible for errors. Connectivity has a great effect on the fluid distribution and leakage pathways in EOR processes or CO2 storage. This paper deals with the description and quantification of connectivity misrepresentation in the upscaling process. For detection of high-flow regions, the flow equations are solved under simplified single-phase conditions. These regions are recognized as the cells whose fluxes...
Point-to-point connectivity prediction in porous media using percolation theory
, Article Physica A: Statistical Mechanics and its Applications ; Volume 460 , 2016 , Pages 304-313 ; 03784371 (ISSN) ; Masihi, M ; Ganjeh Ghazvini, M ; Sharif University of Technology
Elsevier
2016
Abstract
The connectivity between two points in porous media is important for evaluating hydrocarbon recovery in underground reservoirs or toxic migration in waste disposal. For example, the connectivity between a producer and an injector in a hydrocarbon reservoir impact the fluid dispersion throughout the system. The conventional approach, flow simulation, is computationally very expensive and time consuming. Alternative method employs percolation theory. Classical percolation approach investigates the connectivity between two lines (representing the wells) in 2D cross sectional models whereas we look for the connectivity between two points (representing the wells) in 2D aerial models. In this...
Analysis and Evaluation of Computer Integrated Manufacturing: IRCA Company
, M.Sc. Thesis Sharif University of Technology ; Mostafavi, Mostafa (Supervisor)
Abstract
Today in many industrial sectors, technology has made significant progress. Investing in advanced manufacturing technologies, especially computer integrated manufacturing systems is essential in order to survive in a competitive environment, improve performance, response to demand fluctuations and increase customer satisfaction. With available technologies and systems in computer integrated manufacturing (CIM) and its related technologies, the application of CIM in manufacturing enterprises is a reality and can meet the need of complicated manufacturing environment. Implementation of these systems brings many tangible and intangible benefits. But, according to several factors that must be...
Experimental investigation and modeling of asphaltene precipitation due to Gas Injection
, Article Iranian Journal of Chemistry and Chemical Engineering ; Volume 31, Issue 1 , 2012 , Pages 89-98 ; 10219986 (ISSN) ; Rashtchian, D ; Ganjeh Ghazvini, M ; Emadi, M. A ; Dabir, B ; Sharif University of Technology
2012
Abstract
Asphaltene instability is one of the major problems in gas injection projects throughout the world. Numerous models have been developed to predict asphaltene precipitation; The scaling equation is an attractive tool because of its simplicity and not involving complex properties of asphaltene. In this work, a new scaling model is presented to account for asphaltene precipitation due to gas injection at reservoir conditions. Extensive published data from literature have been used in model preparation. To check predictive capability of the equation, miscible gas injection experiments are conducted for a southwest Iranian oil reservoir. Experimental results show that methane injection has...
Investigation of Upscaling Methods for Heterogeneous Permeable Cluster-based Porous Media under Immiscible Two Phase Fluid Flow
, Ph.D. Dissertation Sharif University of Technology ; Masihi, Mohsen (Supervisor) ; Baghghalha, Morteza (Supervisor) ; Ghotbi, Siroos (Supervisor)
Abstract
Upscaling is an important step in hydrocarbon reservoir modeling which reduces the number of grid blocks of high detailed geological models to prepare them for flow simulation. This helps to speed up computational process, to keep the simulation (CPU) time within a reasonable range and to make future engineering analysis (history matching, comparison of production scenarios, Monte Carlo simulation and etc.) possible. The accuracy of post processing analysis heavily depends on the robustness and validation of the applied upscaling method. Although numerous methods have been proposed in the literature, overemphasizing the effect of scale on the behavior of complex governing equations has...
Experimental study on enhanced oil recovery by low salinity water flooding on the fractured dolomite reservoir
, Article Iranian Journal of Chemistry and Chemical Engineering ; Volume 40, Issue 5 , 2021 , Pages 1703-1719 ; 10219986 (ISSN) ; Gerami, S ; Safekordi, A. A ; Bahramian, A. R ; Ganjeh Ghazvini, M ; Sharif University of Technology
Iranian Institute of Research and Development in Chemical Industries
2021
Abstract
Enhanced Oil Recovery from carbonate reservoirs is a major challenge especially in naturally fractured formations where spontaneous imbibition is a main driving force. The Low Salinity Water Injection (LSWI) method has been suggested as one of the promising methods for enhanced oil recovery. However, the literature suggests that LSWI method, due to high dependence on rock mineralogy, injected and formation water salt concentration, and complexity of reactions is not a well-established technology in oil recovery from carbonate reservoirs. The underlying mechanism of LSWI is still not fully understood. Due to lack of LSWI study in free clay dolomite fractured reservoir, and to investigate of...
Quantitative Risk Assessment on Water Conduits by Regression Model and Its Application in Predicting the Cost of Repairing and Replacing
, M.Sc. Thesis Sharif University of Technology ; Eshraghniaye Jahromi, Abdolhamid (Supervisor)
Abstract
Since early civilizations underground water pipes have played a major role on promoting human being life style. Today, centuries after designing water mains equipment, utilizing a water distribution and sewage collection system is matter of great necessity in modern metropolises. In current research the pilot area is located in the city center .the major motivation for opting such area was extraordinary breakage rate which was unseen on other city areas and nearby cities. Data pertaining to four commonly used pipe material were collected. Preliminary data quality analysis was conducted to detect distinct contradictions. On basis of collected data, breakage rate plots were depicted for each...
Impacts of Water Level Rise and Fall of a Hypersaline Lake on Seawater Intrusion: Case of Lake Urmia, Iran
, M.Sc. Thesis Sharif University of Technology ; Ataie Ashtiani, Behzad (Supervisor)
Abstract
Lake Urmia located in the NW of Iran, has lost 96 percent of its volume in 20 years and become a national crisis. During this shrinkage, the lake level has fallen by 8 m, and its concentration has increased up to 380 g/l. Regarding the vast area Lake Urmia basin is covered, the hydrological characteristics of the basin varies a lot, which affects the aquifers response to the seawater intrusion. In order to study the seawater intrusion in the lake’s aquifer, 18 cases with different hydraulic gradients, hydraulic conductivities and bathymetries were defined. All of these cases were run under three different scenarios in sequence. First, steady state scenario is preformed, then the lake level...
Massively Parallel Algorithms for Geometric Graphs
, M.Sc. Thesis Sharif University of Technology ; Abam, Mohammad Ali (Supervisor)
Abstract
Geometric Spanner is a well-known problem aiming to add some edges between given points to build a graph in which the distance of each two nodes is at most their euclidean distance multiplied by t. One answer for this question can be the complete graph. But we like to use a smaller graph and minimize total edge weights, number of edges, or maximum degree of the graph. We study this problem in the Massively Parallel Computation model. In this model, each machine has not enough space to save all input data. We should divide input into multiple machines and run our algorithm in multiple steps. In each step, each machine computes with only a partition of data. After that, machines share their...
The Detection of False Data Injection Attacks in Large-Scale Residential Energy Grids
, M.Sc. Thesis Sharif University of Technology ; Haeri, Mohammad (Supervisor)
Abstract
This dissertation investigates the detection of false data injection attacks in largescale residential energy grids. A typical multi-micro-grid framework is investigated by considering the geographical dispersion of equivalent models, wherein each microgrid is assumed as an agent and managed by a local aggregator. Furthermore, a fully distributed Nash equilibrium seeking algorithm in the partial-decision information scenario is proposed, where each microgrid estimates the actions of all the microgrids by relying only on the information exchanged with some neighbors over a communication network. To effectively reduce unnecessary signal transmission among the agents, an adaptive algorithm,...
Distributed energy management of large-scale microgrids using predictive control
, Article 30th International Conference on Electrical Engineering, ICEE 2022, 17 May 2022 through 19 May 2022 ; 2022 , Pages 528-532 ; 9781665480871 (ISBN) ; Ghavami, M ; Haeri, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
This paper studies the real-time energy management of large-scale residential households and standalone electric vehicles charging stations using a non-cooperative game based on consensus protocol. We consider a set of aggregators, each equipped with a processor, to minimize its own cost function by having access to the local estimation terms of neighboring aggregators. Since the cost function of each aggregator is affected by strategy of other aggregators through total generation cost, such interaction among competitive agents is modeled as a non-cooperative game. An idea based on model predictive control is utilized to deal with highly random behavior of users. In this paper, a time-of-use...
New mathematical modeling of temperature-based properties of ionic liquids mixture: Comparison between semi-empirical equation and equation of state
, Article Chemical Engineering Research and Design ; Volume 177 , 2022 , Pages 331-353 ; 02638762 (ISSN) ; Bagheri, H ; Ghazvini, M ; Ghader, S ; Sharif University of Technology
Institution of Chemical Engineers
2022
Abstract
Ionic liquids are a significant type of organic salts with attractive and superior physicochemical features for employing in a number of chemical processes. Ionic liquids include one large and asymmetric cationic or anionic functional group. The properties of cationic functional group are almost similar and it is main motivation of this study. In the present investigation, we extended various semi-empirical correlations to predict some temperature-based properties of ionic liquids mixture (IL-mixture). These properties are density, viscosity, surface tension and bubble point pressure. In the case of IL-mixture density, modified Rackett equation and Taylor equation with three scenarios,...
Ethanol production from sugarcane bagasse by means of on-site produced and commercial enzymes; A comparative study
, Article Periodica Polytechnica: Chemical Engineering ; Volume 56, Issue 2 , 2012 , Pages 91-96 ; 03245853 (ISSN) ; Yaghmaei, S ; Andalibi, M. R ; Ghazvini, S ; Sharif University of Technology
2012
Abstract
In this study ethanol was produced without using expensive commercial enzymes from sugarcane bagasse. Alkali pretreatment was used to prepare biomass before enzymatic hydrolysis. The comparison between NaOH, KOH and Ca(OH)2 revealed that NaOH has been more effective on bagasse structure. The required enzymes for biomass hydrolysis were produced by bagasse solid state fermentation using three fungi: Trichoderma longibrachiatum, T. reesei and Aspergillus niger. Results indicated enzyme solution produced by A. niger has functioned better than the other two in cellulose conversion during sole hydrolysis. Ethanol was produced by simultaneous saccharification and fermentation (SSF) with on-site...
A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems
, Article Turkish Journal of Electrical Engineering and Computer Sciences ; Volume 23, Issue 2 , 2015 , Pages 335-353 ; 13000632 (ISSN) ; Abbaspour Tehrani Fard, A ; Fotuhi Firuzabad, M ; Sharif University of Technology
2015
Abstract
As a cost-effective and reliable alternative to supply remote areas, standalone hybrid energy systems (HESs) are recently under investigation to address various concerns associated with technical, financial, and environmental issues. This paper presents a comprehensive algorithm that can simultaneously optimize the component size, operation strategy, and slope of the photovoltaic panels of a standalone HES using an improved variant of particle swarm optimization (PSO), designated as the passive congregation PSO. A new operation strategy is proposed based on the set points of the control system. The optimization algorithm determines the optimal values of the set points to efficiently optimize...
Comprehensive study of non-uniform circular array interferometer in a real time broadband 3-dimensional direction finder (2-12GHZ)
, Article Progress In Electromagnetics Research C ; Volume 24 , 2011 , Pages 69-81 ; 19378718 (ISSN) ; Soltanian, M ; Salarpour, M ; Pezeshk, A. M ; Sharif University of Technology
2011
Abstract
A comprehensive study is performed to investigate the performance of a non-uniform circular array interferometer in a real time 3-dimensional direction finder. The angular range of view is supposed to be 65 degrees vertically and 120 degrees horizontally, which is suitable for airborne applications. Interferometer is designed to work in the S, C and X bands. Regarding optimization process, the interferometer employs an eight element non-uniform circular array along with a phase reference antenna at the center of the array. Several quantities and parameters are studied, e.g., frequency behavior, origins of phase measurement errors, Signal to Noise Ratio (SNR) effect on phase measurement, and...