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Conventional diverting techniques and novel fibr-assisted selfdiverting system in carbonate reservoir acidizing with successful case studies

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Petroleum Research 2021年第3期6卷 247-256页

作者： reza Abdollahi hamid Esfandyari Mahdi Nadri Pari Afshin Davarpanah EOR Research Department Research Institute of Petroleum IndustryTehranIran Department of Petroleum Engineering Abadan Faculty of Petroleum EngineeringPetroleum University of Technology(PUT)AbadanIran Department of Mathematics Aberystwyth UniversityAberystwyth SY233BZUnited Kingdom

Conventional diverting techniques may not be useful,and the use of the advanced and well-documented diverting technique is needed to overcome the complexity and heterogeneity of carbonate ***,there have been a lot of materials and techniques utilized for acid *** paper aimed to consider various utilization of fiber-assisted self as the diverting system in acidifying carbonate res*** of the main reasons for its ability to overcome uncertainty is that the fiber itself is an inherent property,allowing for an automatic diversion adjustment *** a media with infinite permeability,such as a perforation tunnel or natural fracture,is filled and bridged with a material of finite permeability such as degradable fiber,this creates a temporary skin to injectivity in that *** is a powerful concept,as it is a way,despite uncertainty from a lack of logging data or uncertainty in the data itself,of dampening the reservoir’s natural permeability *** does not rely on petrophysical certainty to design a successful treatment.

关键词： Acidizing Carbonate reservoirs Diversion techniques Fiber-assisted self-diverting system Fracture Wormhole

Upconversion Properties of the Er-Doped Y_(2)O_(3),Bi_(2)O_(3)and Sb_(2)O_(3)Nanoparticles Fabricated by Pulsed Laser Ablation in Liquid Media

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Chinese Physics Letters 2013年第11期30卷 188-191页

作者： reza Zamiri hamid-reza Bahari-Poor Azmi Zakaria Raheleh Jorfi Golnoush Zamiri Avito Rebelo Akrajas Ali Omar Department of Physics Faculty of ScienceUniversiti Putra Malaysia43400 UPM SerdangSelangorMalaysia Department of Ceramic and Glass Engineering CICECOUniversity of AveiroAveiroPortugal Institute of Microengineering and Nanoelectronics(IMEN) Level 4Research ComplexUniversiti Kebangsaan Malaysia43600 BangiSelangorMalaysia

Er-doped Y_(2)O_(3),Bi_(2)O_(3)and Sb_(2)O_(3)nanoparticles are synthesized using pulsed laser ablation in a *** targets of Y_(2)O_(3):Er^(3+),Bi_(2)O_(3):Er^(3+)and Sb_(2)O_(3):Er^(3+)for ablation process are prepared by standard solid-state reaction technique and ablation is carried out in 5-ml distilled water using nanosecond Q-switched Nd:YAG *** morphology and size of the fabricated nanoparticles are evaluated by transmission electron microscopy and the luminescence emission properties of the prepared samples are investigated under different excitation wavelengths.

关键词： Nd:YAG switched

Application of artificial neural networks to predict the COVID-19 outbreak

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Global Health Research and Policy 2020年第1期5卷 56-66页

作者： hamid reza Niazkar Majid Niazkar Gonabad University of Medical Sciences GonabadIran Department of Civil and Environmental Engineering Shiraz UniversityShirazIran

Background:Millions of people have been infected worldwide in the COVID-19 *** this study,we aim to propose fourteen prediction models based on artificial neural networks(ANN)to predict the COVID-19 outbreak for policy ***:The ANN-based models were utilized to estimate the confirmed cases of COVID-19 in China,Japan,Singapore,Iran,Italy,South Africa and United States of *** models exploit historical records of confirmed cases,while their main difference is the number of days that they assume to have impact on the estimation *** COVID-19 data were divided into a train part and a test *** former was used to train the ANN models,while the latter was utilized to compare the *** data analysis shows not only significant fluctuations in the daily confirmed cases but also different ranges of total confirmed cases observed in the time interval ***:Based on the obtained results,the ANN-based model that takes into account the previous 14 days outperforms the other *** comparison reveals the importance of considering the maximum incubation period in predicting the COVID-19 *** the ranges of determination coefficients indicates that the estimated results for Italy are the best ***,the predicted results for Iran achieved the ranges of[0.09,0.15]and[0.21,0.36]for the mean absolute relative errors and normalized root mean square errors,respectively,which were the best ranges obtained for these criteria among different ***:Based on the achieved results,the ANN-based model that takes into account the previous fourteen days for prediction is suggested to predict daily confirmed cases,particularly in countries that have experienced the first peak of the COVID-19 *** study has not only proved the applicability of ANN-based model for prediction of the COVID-19 outbreak,but also showed that considering incubation period of SARS-COV-2 in prediction models may generate m

关键词： COVID-19 outbreak SARS-COV-2 Prediction model Artificial neural network Artificial intelligence Estimation model

无溶剂条件下离子液体催化香豆素衍生物的绿色合成(英文)

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催化学报 2013年第9期34卷 1690-1696页

作者： hamid reza Shaterian Morteza Aghakhanizadeh Department of Chemistry Faculty of SciencesUniversity of Sistan and Baluchestan PO Box 98135-674 Zahedan Iran

Brnsted acidic ionic liquids, namely 2-pyrrolidonium hydrogen sulfate, N-methyl-2-pyrrolidonium hydrogen sulfate, N-methyl-2-pyrrolidonium dihydrogen phosphate, (4-sulfobutyl)tris(4-sulfophenyl)phosphonium hydrogen sulfate, and triphenyl(propyl-3-sulfonyl)phosphonium toluenesulfonate, catalyzed efficient Pechmann condensation of phloroglucinol with β-keto ethyl/ methyl esters. 5,7-Dihydroxy-4-methylcoumarin and 5,7-dihydroxy-4-phenylcoumarin were prepared in good to excellent yields under mild, ambient, and solvent-free conditions. Pyrano[2,3-h] coumarins were then prepared by one-pot three-component reactions of 5,7-dihydroxy-4-subsituted coumarin, malononitrile, and aldehydes in the presence of catalytic amounts of Br nsted basic ionic liquids, namely 2-hydroxyethylammonium formate, 3-hydroxypropanaminium acetate, 1-butyl-3-methylimidazolium hydroxide, pyrrolidinium formate, and pyrrolidinium acetate, under thermal solvent-free conditions. The catalysts are environmentally benign and can be easily prepared, stored, and recovered without significant loss of activity.

关键词： Ionic liquid Pechmann reaction Solvent-free synthesis Phloroglucinol Pyrano[2 3-h]coumarin

Forecasting the number of zoonotic cutaneous leishmaniasis cases in south of Fars province, Iran using seasonal ARIMA time series method

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Asian Pacific Journal of Tropical Medicine 2017年第1期10卷 77-83页

作者： Mehdi Sharafi Haleh Ghaem hamid reza Tabatabaee Hossein Faramarzi Student Research Committee Shiraz University of Medical Sciences Research Center for Health Sciences Department of EpidemiologySchool of HealthShiraz University of Medical Sciences infectious diseases assistant professor of department of community medicine Medical School Shiraz University of Medical Sciences

Objective: To predict the trend of cutaneous leishmaniasis and assess the relationship between the disease trend and weather variables in south of Fars province using Seasonal Autoregressive Integrated Moving Average(SARIMA) model,Methods: The trend of cutaneous leishmaniasis was predicted using Mini tab software and SARIMA model,Besides,information about the disease and weather conditions was collected monthly based on time series design during January 2010 to March 2016,Moreover,various SARIMA models were assessed and the best one was selected,Then,the model's fitness was evaluated based on normality of the residuals' distribution,correspondence between the fitted and real amounts,and calculation of Akaike Information Criteria(AIC) and Bayesian Information Criteria(BIC),Results: The study results indicated that SARIMA model(4,1,4)(0,1,0)(12) in general and SARIMA model(4,1,4)(0,1,1)(12) in below and above 15 years age groups could appropriately predict the disease trend in the study area,Moreover,temperature with a three-month delay(lag3) increased the disease trend,rainfall with a four-month delay(lag4) decreased the disease trend,and rainfall with a nine-month delay(lag9) increased the disease trend,Conclusions: Based on the results,leishmaniasis follows a descending trend in the study area in case drought condition continues,SARIMA models can suitably measure the disease trend,and the disease follows a seasonal trend.

关键词： SARIMA model Zoonotic cutaneous leishmaniasis Time series analysis

A novel and efficient synthesis of pyrazolo[3,4-d]pyrimidine derivatives and the study of their anti-bacterial activity

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Chinese Chemical Letters 2013年第7期24卷 629-632页

作者： Shahnaz Rostamizadeh Masoomeh Nojavan reza Aryan hamid Sadeghian Mahdieh Davoodnejad Department of Chemistry Faculty of ScienceK.N.Toosi University of TechnologyP.O.Box 15875-4416TehranIran Department of Chemistry Faculty of ScienceUniversity of ZabolZabolIran Resistance Research Center Buali Research InstituteMashhad University of Medical SciencesMashhad 91967-73117Iran Department of Laboratory Sciences School of Paramedical SciencesMashhad University of Medical SciencesMashhad 91857-63788Iran

In this work 4-amino-6-aryl-2-phenyl pyrimidine-5-carbonitrile derivatives were synthesized through a one-pot, three-component reaction of an aldehyde, malononitrile and benzamidine hydrochloride, in the presence of magnetic nano Fe304 particles as a catalyst under solvent-free conditions. 3-Amino-6-aryl- 2-phenylpyrazolo[3,4-d]pyrimidine derivatives were prepared through an efficient and environmentally friendly reaction between 4-amino-6-aryl-2-phenylpyrimidine-5-carbonitrile derivatives and hydra- zine hvdrate and their antibacterial activity has been evaluated

关键词： Pyrrazolo[3 4-d]pyrimidine derivatives Pyrimidine-5-carbonitrile derivatives Antibacterial activity Staphylococcus aureus Enterococcus raffinosus

Exploration of Nonlinear Modeling Techniques to Predict the Retention Time of Organic Pollutants in Natural Water and Wastewater

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Chinese Journal of Structural Chemistry 2012年第11期31卷 1580-1588页

作者： Zolfaghar Mehdizadeh hamid reza Lotfizadeh S.S.Mortazavi Hadi Noorizadeh Chief Executive Officer and Head of Ilam Regional Water Company Iran Faculty of Science Ilam Branch Islamic Azad University Ilam Iran Young Researchers Club Hamedan Branch Islamic Azad University Hamedan Iran Department of Chemistry Faculty of Sciences Arak Branch Islamic Azad University Arak Iran

Water pollution affects plants and organisms living in these bodies of water; and, in almost all cases the effect is damaging not only to individual species and populations, but also to the natural biological communities. Genetic algorithm and kernel partial least square （GA-KPLS） and Levenberg- Marquardt artificial neural network （L-M ANN） techniques were used to investigate the correlation between retention time （tR） and descriptors for 150 organic contaminants in natural water and wastewater, which are obtained by gas chromatography coupled to high-resolution time-of-flight mass spectrometry （GC-TOF MS）. The L-M ANN model gave a significantly better performance than the GA-KPLS model. This indicates that L-M ANN can be used as an alternative modeling toot for quantitative structure-retention relationship （QSRR） studies.

关键词： water samples organic pollutants gas chromatography time-of-flight massspectrometry QSRR Levenberg-Marquardt artificial neural network

An incremental ant colony optimization based approach to task assignment to processors for multiprocessor scheduling

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Frontiers of Information Technology & Electronic Engineering 2017年第4期18卷 498-510页

作者： hamid reza BOVEIRI Sama Technical and Vocational Training College Islamic Azad University Shoushtar Branch Shoushtar Iran

Optimized task scheduling is one of the most important challenges to achieve high performance in multiprocessor environments such as parallel and distributed systems. Most introduced task-scheduling algorithms are based on the so-called list scheduling technique. The basic idea behind list scheduling is to prepare a sequence of nodes in the form of a list for scheduling by assigning them some priority measurements, and then repeatedly removing the node with the highest priority from the list and allocating it to the processor providing the earliest start time （EST）. Therefore, it can be inferred that the makespans obtained are dominated by two major factors：（1） which order of tasks should be selected （sequence subproblem）; （2） how the selected order should be assigned to the processors （assignment subproblem）. A number of good approaches for overcoming the task sequence dilemma have been proposed in the literature, while the task assignment problem has not been studied much. The results of this study prove that assigning tasks to the processors using the traditional EST method is not optimum; in addition, a novel approach based on the ant colony optimization algorithm is introduced, which can find far better solutions.

关键词： Ant colony optimization List scheduling Multiprocessor task graph scheduling Parallel and distributed systems

Effect of CO_(2)exposure on the mechanical strength of geopolymerstabilized sandy soils

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第2期16卷 670-681页

作者： hamid reza Razeghi Armin Geranghadr Fatemeh Safaee Pooria Ghadir Akbar A.Javadi School of Civil Engineering Iran University of Science and TechnologyTehran***Iran Department of Engineering University of ExeterExeterEX44QFUK

In recent years,there has been growing interest in developing methods for mitigating greenhouse effect,as greenhouse gas emissions continue to contribute to global temperature *** the other hand,investigating geopolymers as environmentally friendly binders to mitigate the greenhouse effect using soil stabilization has been widely ***,the effect of CO_(2)exposure on the mechanical properties of geopolymer-stabilized soils is rarely *** this context,the effect of CO_(2)exposure on the mechanical and microstructural features of sandy soil stabilized with volcanic ash-based geopolymer was *** factors were concerned,for example the binder content,relative density,CO_(2)pressure,curing condition,curing time,and carbonate *** results showed that the compressive strength of the stabilized sandy soil specimens with 20%volcanic ash increased from 3 MPa to 11 *** was also observed that 100 kPa CO_(2)pressure was the optimal pressure for strength development among the other *** mechanical strength showed a direct relationship with binder content and carbonate ***,in the ambient curing(AC)condition,the mechanical strength and carbonate content increased with the curing ***,the required water for carbonation evaporated after 7 d of oven curing(OC)condition and as a result,the 14-d cured samples showed lower mechanical strength and carbonate content in comparison with 7-d cured ***,the rate of strength development was higher in OC cured samples than AC cured samples until 7 d due to higher geopolymerization and carbonation rate.

关键词： Soil stabilization CO_(2)effect Geopolymer