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RISS 인기검색어
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Rooki, Reza,Ardejani, Faramarz Doulati,Moradzadeh, Ali,Mirzaei, Hossein,Kelessidis, Vassilios,Maglione, Roberto,Norouzi, Mahmood 한국유변학회 2012 Korea-Australia rheology journal Vol.24 No.3
The rheological properties of a drilling fluid directly affect flow characteristics and hydraulic performance. Drilling fluids containing bentonite mixtures exhibit non-Newtonian rheological behavior which can be described with a high degree of accuracy by the three-parameter Herschel-Bulkley (HB) model. To determine the HB parameters, standard statistical techniques, such as the non-linear regression (NL) method are routinely used. However, sometimes they provide non physically acceptable solutions which could produce wrong values of the significant hydraulic parameters which affect drilling operations. To obtain more accurate results, the Golden Section (GS) method was subsequently developed by Kelessidis et al. (2006). In this work a different technique was developed using the Genetic Algorithms (GAs) to provide an easy-to-use tool in order to determine the three parameters of the Herschel-Bulkley model more accurately. To evaluate the accuracy of the GAs method, experimental viscometric data sets of drilling fluids were taken from the literature and the results were compared with the ones obtained by using the NL and GS techniques. The results show that the GAs and the GS methods provide similar results with very high correlation coefficients and small sum of square errors for most of the samples exhibiting negative yield stress values by the NL technique, while giving similar to the NL technique for the samples that were predicted with positive yield stress. However, in some cases, the GAs method gives better and more realistic results than the GS method.
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Reza Rooki,Faramarz Doulati Ardejani,Ali Moradzadeh,Hossein Mirzaei,Vassilios Kelessidis,Roberto Maglione,Mahmood Norouzi 한국유변학회 2012 Korea-Australia rheology journal Vol.24 No.3
The rheological properties of a drilling fluid directly affect flow characteristics and hydraulic performance. Drilling fluids containing bentonite mixtures exhibit non-Newtonian rheological behavior which can be described with a high degree of accuracy by the three-parameter Herschel-Bulkley (HB) model. To deter\-mine the HB parameters, standard statistical techniques, such as the non-linear regression (NL) method are routinely used. However, sometimes they provide non physically acceptable solutions which could produce wrong values of the significant hydraulic parameters which affect drilling operations. To obtain more accu\-rate results, the Golden Section (GS) method was subsequently developed by Kelessidis et al. (2006). In this work a different technique was developed using the Genetic Algorithms (GAs) to provide an easy-to-use tool in order to determine the three parameters of the Herschel-Bulkley model more accurately. To eval\-uate the accuracy of the GAs method, experimental viscometric data sets of drilling fluids were taken from the literature and the results were compared with the ones obtained by using the NL and GS techniques. The results show that the GAs and the GS methods provide similar results with very high correlation coef\-ficients and small sum of square errors for most of the samples exhibiting negative yield stress values by the NL technique, while giving similar to the NL technique for the samples that were predicted with positive yield stress. However, in some cases, the GAs method gives better and more realistic results than the GS method.
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Association of 8q24.21 rs10505477-rs6983267 Haplotype and Age at Diagnosis of Colorectal Cancer
Haerian, Monir Sadat,Haerian, Batoul Sadat,Rooki, Hassan,Molanaei, Saadat,Kosari, Farid,Obohhat, Maedeh,Hosseinpour, Parisa,Azimzadeh, Pedram,Mohebbi, Seyed Reza,Akbari, Zahra,Zali, Mohammad Reza Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.1
Background: Colorectal cancer (CRC) is the fourth most common cause of cancer death in the world. Genetic variants in 8q24.21 including rs10505477 and rs6983267 have been hypothesized to be involved in susceptibility to CRC. This study aims to investigate the possible association between these loci and their haplotypes with CRC risk in Iranian population. Materials and Methods: Subjects were recruited from two hospitals in Tehran. The rs10505477 and rs6983267 polymorphisms were genotyped by TaqMan real time PCR using subject genomic DNA, extracted either from formalin-fixed, paraffin-embedded tissue of patients or from blood of the controls by standard methods. Results: A total of 715 subjects (380 CRC patients and 335 matched controls) were genotyped in this study. Allele and genotype analysis of the rs10505477 and rs6983267 polymorphisms by gender, age at diagnosis, tumor location, tumor grade, and tumor node metastasis (TNM) showed no significant association with CRC risk. There was a significant relationship between GG haplotype and susceptibility to age at diagnosis for both <60 and ${\geq}60$ (p=0.0005 and p=0.000004, respectively) and between GT and CRC in the age at diagnosis ${\geq}60$ (Table 3: p=0.031). The GG haplotype was less frequent in CRC patients with the age at diagnosis <60, but was more common in subjects with the age at diagnosis ${\geq}60$. Conclusions: Results of this study suggests that the rs6983267 and rs10505477 polymorphisms alone may not be relevant to CRC risk, but their GG haplotype plays a notable role in age at diagnosis of CRC in the Iranian population.
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Predicting the production rate of diamond wire saws using multiple nonlinear regression analysis
Golsa Sadegheslam,Reza Mikaei,Reza Rooki,Saleh Ghadernejad,Mohammad Ataei 한국자원공학회 2013 Geosystem engineering Vol.16 No.4
In this paper, the prediction of production rate of diamond wire saws was performed. Performance measurements of diamond wire saws were conducted on 14 different carbonate rocks in mines located in Iran. Rock samples were collected from the mines for laboratory tests. Elasticity modulus, quartz content, and uniaxial compressive strength (UCS) were determined in the laboratory. Production values were correlated with the corresponding elasticity modulus, quartz content, and UCS. The sawing speed and rock properties were evaluated using multiple nonlinear regression analysis, and the developed model was validated by statistical tests and actual data of sawing speed for four new mines. It was concluded that the sawing speed of carbonate rocks using diamond wire saws can reliably be estimated using the developed model.
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