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Nanotechnology-assisted EOR techniques: New solutions to old challenges
, Article Society of Petroleum Engineers - SPE International Oilfield Nanotechnology Conference 2012 ; 2012 , Pages 382-396 ; 9781622761104 (ISBN) ; Zerafat, M. M ; Sharif University of Technology
SPE
2012
Abstract
Enhanced Oil Recovery techniques are gaining more attention worldwide as the proved oil reserves are declining and the oil price is hiking. Although many giant oil reservoirs in the world were already screened for EOR processes, the main challenges such as low sweep efficiency, costly techniques, possible formation damages, transportation of huge amounts of EOR agents to the fields especially for offshore cases, analyzing micro-scale multi-phase flow in the rock to the large scale tests and the lack of analyzing tools in traditional experimental works, hinder the proposed EOR processes. Our past experiences on using nanotechnology to the upstream cases, especially EOR processes, revealed...
Intelligent image-based gas-liquid two-phase flow regime recognition
, Article Journal of Fluids Engineering, Transactions of the ASME ; Volume 134, Issue 6 , 2012 ; 00982202 (ISSN) ; Hanafizadeh, P ; Hassan Saidi, M ; Sharif University of Technology
2012
Abstract
Identification of different flow regimes in industrial systems operating under two-phase flow conditions is necessary in order to safely design and optimize their performance. In the present work, experiments on two-phase flow have been performed in a large scale test facility with the length of 6 m and diameter of 5 cm. Four main flow regimes have been observed in vertical air-water two-phase flow at moderate superficial velocities of gas and water namely: Bubbly, Slug, Churn, and Annular. An image processing technique was used to extract information from each picture. This information includes the number of bubbles or objects, area, perimeter, as well as the height and width of objects...
An efficient and practically robust hybrid metaheuristic algorithm for solving fuzzy bus terminal location problems
, Article Asia-Pacific Journal of Operational Research ; Volume 29, Issue 2 , April , 2012 ; 02175959 (ISSN) ; Ghanbari, R ; Mahdavi Amiri, N ; Sharif University of Technology
2012
Abstract
Bus network design is an important problem in public transportation. In practice, some parameters of this problem are uncertain. We propose two models for the bus terminal location problem with fuzzy parameters. In the first formulation, the number of passengers corresponding to each node is a fuzzy number. In the second formulation, an additional assumption of fuzzy neighborhood is considered. These problems being NP-hard, we use a genetic algorithm (GA) and a simulated annealing (SA) algorithm for solving them. We also propose an idea to hybridize these algorithms. In our hybrid algorithm, SA is applied as a neighborhood search procedure of GA on the best individual of the population,...
Fuzzy clustering of vertical two phase flow regimes based on image processing technique
, Article American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM, 1 August 2010 through 5 August 2010, Montreal, QC ; Volume 2 , 2010 , Pages 303-313 ; 08888116 (ISSN) ; 9780791849491 (ISBN) ; Hanafizadeh, P ; Hassan, M ; Bozorgmehry, R. B ; Sharif University of Technology
2010
Abstract
In order to safe design and optimize performance of industrial systems which work under two phase flow conditions, it's often needed to categorize flow into different regimes. In present work the experiments of two phase flow were done in a large scale test facility with length of 6m and 5cm diameter. Four main flow regimes were observed in vertical air-water two phase flows at moderate superficial velocities of gas and water: Bubbly, Slug, Churn and Annular. Some image processing techniques were used to extract information from each picture. This information include number of bubbles or objects, area, perimeter, height and width of objects (second phase).Also a texture feature extraction...