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Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology

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Artificial Intelligence in Geosciences 2024年第1期5卷 336-358页

作者： Hassan Bagheri reza Mohebian ali Moradzadeh Behnia Azizzadeh Mehmandost Olya Petroleum Exploration School of Mining EngineeringCollege of EngineeringUniversity of TehranTehranIran School of Mining Engineering College of EngineeringUniversity of TehranTehranIran

Pore size analysis plays a pivotal role in unraveling reservoir behavior and its intricate relationship with confined *** methods for predicting pore size distribution(PSD),relying on drilling cores or thin sections,face limitations associated with depth *** this study,we introduce an innovative framework that leverages nuclear magnetic resonance(NMR)log data,encompassing clay-bound water(CBW),bound volume irreducible(BVI),and free fluid volume(FFV),to determine three PSDs(micropores,mesopores,and macropores).Moreover,we establish a robust pore size classification(PSC)system utilizing ternary plots,derived from the *** the three studied wells,NMR log data is exclusive to one well(well-A),while conventional well logs are accessible for all three wells(well-A,well-B,and well-C).This distinction enables PSD predictions for the remaining two wells(B and C).To prognosticate NMR outputs(CBW,BVI,FFV)for these wells,a two-step deep learning(DL)algorithm is ***,three feature selection algorithms(f-classif,f-regression,and mutual-info-regression)identify the conventional well logs most correlated to NMR outputs in *** three feature selection algorithms utilize statistical *** algorithms are utilized to systematically identify and optimize pertinent input features,thereby augmenting model interpretability and predictive efficacy within intricate data-driven ***,all three feature selection algorithms introduced the number of 4 logs as the most optimal number of inputs to the DL algorithm with different combinations of logs for each of the three desired ***,the CUDA Deep Neural Network Long Short-Term Memory algorithm(CUDNNLSTM),belonging to the category of DL algorithms and harnessing the computational power of GPUs,is employed for the prediction of CBW,BVI,and FFV *** prediction leverages the optimal logs identified in the preceding *** of NMR outputs was done

关键词： NMR log Deep learning Pore size distribution Pore size classification Conventional well logs

Preconcentration of rare earth elements from Iranian monazite ore by spiral separator using multi-response optimization method

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International Journal of Mining Science and Technology 2014年第1期24卷 117-121页

作者： Khanchi ali reza Sedighi Hassan Ansar Sheida Fasihi Javad Nuclear Fuel Cycle Research School Nuclear Science and Technology Research InstituteAEOI

The present work dealt with the preconcentration of rare earth elements in Saghand ore(Yazd province,Iran)which was achieved by Humphrey spiral using orthogonal optimization method after scrubbing the sample at 45%solid pulp density for 30 *** pulp was diluted and was fed to a Humphrey spiral for *** process parameters considered were feed size,feed solids and feed rate,and Taguchi’s L9(34)orthogonal array(OA)was selected for optimization of the *** results show that the feed rate and feed size were more significant than the other operation parameters of the *** was also found that under optimal conditions,the concentrate grade of rare earth elements increased from2860 10 6to 6050 10 6and recovery reached to 58%.

关键词： Monazite Taguchi method Spiral Preconcentration Optimization

Land use change modeling through an integrated Multi-Layer Perceptron Neural Network and Markov Chain analysis(case study: Arasbaran region, Iran)

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Journal of Forestry Research 2019年第3期30卷 943-957页

作者： Vahid Nasiri ali.A.Darvishsefat reza Rafiee Anoushirvan Shirvany Mohammad Avatefi Hemat Department of Forestry Faculty of Natural Resources University of TehranKarajIran Department of Environmental Science Faculty of Natural ResourcesUniversity of TehranKarajIran

Temporal land use/land cover (LULC) change information provides a variety of applications for informed management of land resources. The aim of this study was to detect and predict LULC changes in the Arasbaran region using an integrated Multi-Layer Perceptron Neural Network and Markov Chain analysis. At the first step, multi-temporal Landsat images (1990, 2002 and 2014) were processed using ancillary data and were classified into seven LULC categories of high density forest, low-density forest, agriculture, grassland, barren land, water and urban area. Next, LULC changes were detected for three time profiles, 1990–2002, 2002–2014 and 1990–2014. A 2014 LULC map of the study area was further simulated (for model performance evaluation) applying 1990 and 2002 map layers. In addition, a collection of spatial variables was also used for modeling LULC change processes as driving forces. The actual and simulated 2014 LULC change maps were cross-tabulated and compared to ensure model simulation success and the results indicated an overall accuracy and kappa coefficient of 97.79% and 0.992, respectively. Having the model properly validated, LULC change was predicted up to the year 2025. The results demonstrated that 992 and 1592 ha of high and lowdensity forests were degraded during 1990–2014,respectively, while 422 ha were added to the extent of residential areas with a growth rate of 17.58 ha per year. The developed model predicted a considerable degradation trend for the forest categories through 2025, accounting for 489 and 531 ha of loss for high and low-density forests, respectively. By way of contrast, residential area and farmland categories will increase up to 211 and 427 ha, respectively. The integrated prediction model and customary area data can be used for practical management efforts by simulating vegetation dynamics and future LULC change trajectories.

关键词： Satellite images Land use changes Land change modeler Artificial neural network Prediction

Bulk-boundary and RPS thermodynamics from topology perspective

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Chinese Physics C 2024年第9期48卷 244-253页

作者： Jafar Sadeghi Mohammad reza alipour Saeed Noori Gashti Mohammad ali S.Afshar Department of Physics Faculty of Basic SciencesUniversity of Mazandaran P.O.Box 47416-95447BabolsarIran School of Physics Damghan UniversityP.O.Box ***DamghanIran

In this study,we investigate the bulk-boundary and restricted phase space(RPS)thermodynamics of Rissner-Nordstrom(R-N)AdS and 6-dimensional charged Gauss-Bonnet AdS black ***,we examine the topological characteristics of the considered black holes and compare them with the results of extended *** determine that the topological behavior of the bulk-boundary thermodynamics is the same as that of the extended thermodynamics,whereas the RPS thermodynamics exhibits a distinct ***,we demonstrate that within the RPS formalism,there is only one critical point with a topological charge of+1(Q_(t)=+1).Moreover,in the RPS formalism,the inclusion of higher-derivative curvature terms in the form of GaussBonnet gravity does not alter the topological classification of critical points in charged AdS black holes.

关键词： bulk-boundary restricted phase space topological charge thermodynamics

Set Value Observer Performance improvement with optimizing the free parameter in the MTT Problem 36

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Set Value Observer Performance improvement with optimizing t...

Evaluation of microstructure and texture formation during annealing of cold-rolled FeCrCuMnNi multiphase high-entropy alloy

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作者： Mohammad ali alirezapouri Hamid Khaloozadeh Ahmad reza Vali Mohammad reza Arvan Department of Control Faculty of Electrical EngineeringMaleke-Ashtar University of technology Departments of System and Control Faculty of Electrical EngineeringK.N.Toosi University of Technology

ISBN: (纸本)9781538629185

Observers based on set value theory（SVO） have a good performance in the maneuvering target tracking（MTT） problem. By assuming system disturbances, are unknown but bounded（UBB） the SVO or UBB filters can be used in maneuvering target tracking（MTT） problems. In the UBB filter implementation, free parameters appeared when bounding ellipsoids are used. Inappropriate choice of these free parameters, reduce accuracy and caused filter instability. To solve these problems, two methods（recursive parameters calculation（RPC） and calculates the optimal free parameters（OPC）） will be developed. Free parameters that calculated with OPC method, improves the accuracy of maneuvering targets state estimation and avoid algorithms instability in the MTT problem. The results of numerical simulations, confirms improved the efficiency and accuracy of the UBBF filter by using OPC method for free parameters calculation.

关键词： Set value observer Maneuvering Target Tracking Free Parameters Optimal Filtering

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Transactions of Nonferrous Metals Society of China 2020年第2期30卷 449-462页

作者： ali SHABANI Mohammad reza TOROGHINEJAD Department of Materials Engineering Isfahan University of Technology

Microstructure and texture variations of a cold-rolled multiphase FeCrCuMnNi high-entropy alloy were studied after different annealing *** were heat-treated at different temperatures and for different time,and then,subjected to different tests including XRD and *** results reveal that the FCC1 phase,which goes through more strain,has lower melting temperature,and recrystallizes earlier(lower temperature and shorter time).In addition,it is seen that particle stimulated nucleation is more effective on the recrystallization of this phase compared to FCC2 phase.A significant number of FCC1 nuclei form around the BCC *** of FCC2 phase initiated at 800℃mostly at the grain boundaries and the *** FCC1 phase was almost fully recrystallized at this *** annealing process led to the elimination of rolling textures,while the Brass component remained a major component in the recrystallized *** annealing temperature as well as annealing time led to the formation of Cube texture component,which is a major component of recrystallized low stacking fault energy ***,D and Rt-Co components formed during recrystallization as a result of the formation of annealing twins.

关键词： high-entropy alloys FeCrCuMnNi recrystallization microstructure texture

Thermodynamic topology of quantum corrected AdS-Reissner-Nordstrom black holes in Kiselev spacetime

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Chinese Physics C 2024年第11期48卷 271-279页

作者： Jafar Sadeghi Saeed Noori Gashti Mohammad reza alipour Mohammad ali S.Afshar Department of Physics Faculty of Basic SciencesUniversity of Mazandaran47416-95447BabolsarIran School of Physics Damghan University***DamghanIran

In this paper,we consider the intricate thermodynamic topology of quantum-corrected Anti-de Sitter-Reissner-Nordstrm(AdS-RN)black holes within the framework of Kiselev *** employing the generalized off-shell Helmholtz free energy approach,we meticulously compute the thermodynamic topology of these selected black ***,we establish their topological *** findings reveal that quantum correction terms influence the topological charges of black holes in Kiselev spacetime,leading to novel insights into topological *** research findings elucidate that,in contrast to the scenario in whichω=0 and a=0.7 with total topological charge W=0 andω=-4/3 with total topological charge W=-1,in other cases,the total topological charge for the black hole under consideration predominantly stabilizes at+*** stabilization occurs with the significant influence of the parameters a,c,andωon the number of topological ***,whenωassumes the values ofω=-1/3,ω=-2/3,andω=-1,the total topological charge will consistently be W=+1.

关键词： AdS-Reissner-Nordstrom black hole Kiselev spacetime thermodynamic topology

Characteristics and clinical presentations of pediatric 0retinoblastoma in North-western Iran

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International Journal of Ophthalmology(English edition) 2012年第4期5卷 510-512页

作者： reza Nabie Nazli Taheri ali Mahdavi Fard Rohollah Fadaei Fouladi Department of Ophthalmology Nikookari Eye Hospital Tabriz University of Medical SciencesTabriz Iran Department of Ophthalmology Alavi Eye Hospital Tabriz University of Medical SciencesTabriz Iran Imam reza Hospital Tabriz University of Medical SciencesTabriz Iran

·AIM:To report the characteristics and clinical presentations of retinoblastoma in a series of pediatric patients from Iran. ·METHODS:In this retrospective study, profiles of pediatric patients with retinoblastoma archived in a referral eye hospital in north-west of Iran during 7 years (n =40 patients with 57 eyes) were reviewed. Demographics, as well as the laterality, clinical manifestations and the types of treatment were the major endpoints. The Student’s t test, Mann-Whitney U -test, Chi-square or Fishers’ Exact test was used for analysis where appropriate. ·RESULTS:There were 23 cases (57.7%) with unilateral and 17 cases (42.5%) with bilateral involvement. The male to female ratio was 1 to 1.4 with a mean admitting age of 24.0±11.3 (range:5-62) months. The mean diagnosis delay was (7.4±9.6) months (range:10 days to 13 months). The most common presenting sign was leukocoria (97.5%) followed by proptosis (7.5%), strabismus (7.5%), hyphema (5%), orbital cellulitis (5%) and glaucoma (2.5%). Enucleation was performed in 95.7% of the cases with unilateral involvement and at least one eye of the patients with bilateral disease. A second enucleation was performed in other 3 patients (17.6%) of the latter group. ·CONCLUSION:This is the first study evaluating a series of Iranian children with retinoblastoma.

关键词： retinoblastoma epidemiology clinical presentation

Efficacy of combined albendazol and praziquntel and their loaded solid lipid nanoparticles components in chemoprophylaxis of experimental hydatidosis

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Asian Pacific Journal of Tropical Biomedicine 2017年第6期7卷 549-554页

作者： ali Jelowdar Abdollah Rafiei Mohammad reza Abbaspour Iran Rashidi Mahmood Rahdar Department of Parasitology School of MedicineAhvaz Jundishapur University of Medical Sciences Health Research Institute Infectious and Tropical Diseases Research CenterFaculty of MedicineAhvaz Jundishapur University of Medical Sciences Targeted Drug Delivery Research Center School of PharmacyMashhad University of Medical Sciences Department of Pathology School of MedicineAhvaz Jundishapur University of Medical Sciences

Objective:To evaluate the efficacy of combined ABZ and PZQ and their solid lipid nanoparticles in chemoprophylaxis of cystic echinococcosis(CE).Methods:ABZ and PZQ loaded solid lipid nanoparticles(SLNs) were prepared by high shear homogenization and microemulsion congealing techniques with some minor *** average size,polydispersity index(PDI),and particle size distribution were determined by scanning electron microscopy(SEM) and photon correlation *** females BALB/c were experimentally infected by protoscoleces(PSC) and randomly divided into four equal groups of 10 *** the end of the 3 months treatment period and 2 months rest,mice were sacrificed and the peritoneal cavity was opened for removal,counting,measuring,and histological analysis of hydatid ***:The results indicated that ABZ and PZQ chemoprophylaxis treatment reduced the wet weight and size of developed cysts 77.3% and 79%,*** corresponding result for the ABZ and PZQ loaded SLNs was 83% and 85%,***:This study for the first time demonstrated that ABZ and PZQ loaded SLNs is superior to free ABZ and PZQ for the chemoprophylaxis of CE in mice.

关键词： Echinococcosis Albendazole Praziquantel High pressure homogenization Solid lipid nanoparticles(SLNs)