Nazarbayev University
Graduate School of Education

School of Mining & Geosciences

Сотрудники

Алтынай Кажкенова
Менеджер по программе "Нефтегазовое дело"
Телефон : +7 7172 694628
Мадияр Коянбаев
Зертхана ассистенті
Телефон : +7 7172 694531
Др. Пейман Пурафшари
Ассоциированный профессор
Образование
Закрыть
  1. PhD (2007), The University of Texas at Austin, США, Нефтегазовое дело
  2. Mагистратура (2002), Sharif University of Technology, Иран, Механическая инженерия 
  3. Бакалавриат (2000), Sharif University of Technology, Иран, Механическая инженерия 
Предыдущие места работы
Закрыть
  1. С 2018 года по настоящее время: Ассоциированный профессор, Нефтегазовое дело, Назарбаев Университет, Нур-Султан, Казахстан
  2. 2013 - 2017гг.: Ассистент профессор, Нефтегазовое дело, Sultan Qaboos University, Маскат, Оман
  3. 2007 - 2013гг.: Ассистент профессор, Нефтегазовое дело, Institute of Petroleum Engineering, University of Tehran, Тегеран, Иран
  4. 2003 - 2007 гг.: Ассистент по исследованиям и преподаванию, Нефтегазовый и инженерный отдел геосистем, The University of Texas, Остин, США
Награды
Закрыть
  1. Стипендия для обучения по программе докторантуры на четыре года, 2003
  2. Премия «Лучший исследователь» за достижения в исследовательском проекте «Comparison of Production of Vertical, Deviated, Horizontal and Fractured Wells in South Pars Gas Reservoir», 2010 г., Tehran University
  3. Khwarizmi Award за «Design and manufacture of a device to measure gas diffusivity in porous media», 2013
Интересы исследования
Закрыть

Production Engineering and Production Optimization, Well Stimulation, Formation Damage, Experimental Studies and Modeling of Reservoir Performance and Enhanced Oil Recovery

Available PhD Topics:

  1. Study of fines migration effect on the performance of low salinity water flooding in sandstones
  2. Hybrid chemical/low salinity water flooding EOR method in carbonate formations

For more information, please contact peyman.pourafshary@nu.edu.kz

Публикации
Закрыть

2019

  1. Pourafshary, P and Al-Farsi, H., “Enhancement of Heavy Oil Recovery by Nanoparticle/Microwave Application”, Eurasian Chemico-Technological Journal, 2019, 21, 1
  2. Salimi, Y., Moradzadeh, A., Pourafshary, P., Majidi, A., “Effect of Hysteresis on Petrophysical Properties of Limestone Hydrocarbon Reservoir Rock” Journal of Petroleum Science and Engineering, 2019, 177, 745-755
  3. Jalilian, m., Tabzar, A., Ghasemi, V., Pourafshary, P., Zendehboudi, S., “An Experimental Investigation of Nanoemulsion Enhanced Oil Recovery: Use of Unconsolidated Packed Beds”, Fuel, 2019, 251, 1, 754-762
  4. Zivar, D., Pourafshary, P., “A new approach for predicting oil recovery factor during immiscible CO2 flooding in sandstones using dimensionless numbers”, Journal of Petroleum Exploration and Production Technology, 2019, Available Online
  5. Mosavat, N., Hasanidarabadi, B., Pourafshary, P., “Gaseous Slip Flow Simulation in a Micro/Nano Pore-Throat Structure using the Lattice Boltzmann Model”, Journal of Petroleum Science and Engineering, 2019, 177, 93-103
  6. Fouladi, M. M., Rostami, B., and Pourafshary, P., ”Effects of the Presence of Fines on the Performance of Low Salinity Waterflooding”, Special Topics & Reviews in Porous Media, 2019, 10(2), 155-169
  7. Sharifipour, M., Pourafshary, P., Nakhaee, A., “Model Development of Permeability Impairment due to Clay Swelling in Porous Media using Micromodels”, Journal of Petroleum Science and Engineering, 2019, 175, 728-742
  8. Mansouri, M., and Pourafshary, P., “Effect of SiO2 nanoparticles on Fines Stabilization during Low Salinity Water Flooding”, Journal of Petroleum Science and Engineering, 2019, 174, 637-648
  9. Al Abri, H., Pourafshary, P., Mosavat, N., Al Hadrami, H,” A Study of the Performance of the LSWA CO2 EOR Technique on Improvement of Oil Recovery in Sandstones” Petroleum, 2019, 5, 58-66

2018

  1. Bastami, A., Pourafshary, P., Shafiei., “A. Densities for Ternary System of CaCl2–H2O–CO2 at Elevated P-T: An Experimental and Modeling Approach” Energies, 2018, 11, 2840
  2. Al-Matroushi, M., Pourafshary, P., Al-Wahaibi, Y., “Efficiency of nano-water/gas alternating injection technique to enhance oil recovery in an oil field”, International Journal of Oil, Gas and Coal Technology, 2018, 19(2), 149-162.
  3. Al Nofli, Kh., Pourafshary, P., Mosavat, N., Shafiei, Al, “Effect of Initial Wettability on Performance of Smart Water Flooding in Carbonate Reservoirs—An Experimental Investigation with IOR Implications” Energies, 2018, 11(6), 1394
  4. Hourfar, F., Salahshoor, K., Zanbouri, H., Elkamel, A., Pourafshary, P., Moshiri, B.,
  5. A Systematic Approach for Modeling of Waterflooding Process in the Presence of Geological Uncertainties in Oil Reservoirs” Computers & Chemical Engineering, 2018, 111, 66-78
  6. Rostami, B., Pourafshary, P., Fathollahi, A., Yassin, M., Hassani, K., Khosravi, M., Mohammadifar, M., “A new approach to characterize the performance of heavy oil recovery due to various gas injection” International Journal of Multiphase Flow, 2018, 99, 273-283
  7. Motamedi, P., Bargozin, H., Pourafshary, P., “Management of implementation of nanotechnology in upstream oil industry: An analytic hierarchy process analysis” Journal of Energy Resources Technology, 2018, 140(5), 052908.

2017

  1. Hasannejad , R., Pourafshary, P., Vatani A. Sameni A., “Application of Silica Nanofluid to Control Initiation of Fines Migration,” Petroleum Exploration and Development, 2017, 44(5), 850-859
  2. Jalilian M, Pourafshary P, Sola B, Kamari M., “Optimization of Smart Water Chemical Composition for Carbonate Rocks Through Comparison of Active Cations Performance,” Journal of Energy Resources Technology, 2017, 139(6), 062904-062904-9
  3. Khiabani, N., Bahramian, P., Chen, P., Pourafshary, P., Goddard, W.A.,” Calcium Chloride Adsorption at Liquid-Liquid Interfaces:  A Molecular Dynamics Simulation Study,” Colloid and Surfaces A: Physicochemical and Engineering Aspects, 2017, 572, 70-80.
  4. Saboorian-Jooybari H, Pourafshary P., “ Potential Severity of Phase Trapping in Petroleum Reservoirs: An Analytical Approach to Prediction,” SPE Journal, 2017, 22 (03), 863-874
  5. Sharifipour, M., Pourafshary, P., Nakhaee, A., “Study of the effect of clay swelling on the oil recovery factor in porous media using a glass micromodel,” Applied Clay Science, 2017, 141, 125-131
  6. Moradi B., Pourafshary P., Jalali F., Mohammadi M., “Effects of Nanoparticles on Gas Production/Viscosity Reduction/Foam Formation During Nanofluid Alternating Gas Injection in Low And High Permeable Carbonate Reservoirs.” The Canadian Journal of Chemical Engineering, 2017, 95 (3), 479-490
Др . Саффет Ягыз
Ассоциированный профессор
Интересы исследования
Закрыть
• Инженерная геология и геотехника • Рок-инжиниринг и туннелирование ТБМ • Характеристика и тестирование массы горных пород
Публикации
Закрыть
  1. Adoko AC, Gokceoglu C, Yagiz S. Bayesian prediction of TBM penetration rate in rock mass, Engineering Geology, DOI: doi.org/10.1016/j.enggeo.2017.06.014 (2017).
  2. Ghasemi E, Kalhori H, Bagherpour R, Yagiz S. Model tree approach for determining uniaxial compressive strength and Young’s modulus of carbonate rocks, Bulletin of Engineering Geology and the Environment, DOI: 10.1007/s10064-016-0931-1 (2017).
  3. Armaghani DJ, Mohamad ET, Narayanasamy S, Narita N, Yagiz S. Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition, Tunneling and Underground Space Technology, 63, 29-43 (2017).
  4. Khandelwal M, Faradonbeh R, Monjezi M, Armaghani DJ, Majid MZBA, Yagiz S. Function development for appraising brittleness of intact rocks using genetic programming and non‑linear multiple regression models, Engineering with Computers, 33, 13-21 (2017).
  5. Yagiz S. New equations for predicting the field penetration index of tunnel boring machines in fractured rock mass, Arabian Journal of Geosciences, 10:2, 33, 1-13 (2017).
  6. Armaghani DJ, Amin MFM, Yagiz S, Faradonbeh R, Abdullah RA. Prediction of the uniaxial compressive strength of sandstone using various modelling techniques, International Journal of Rock Mechanics and Mining Sciences, 85, 174-186 (2016).
  7. Armaghani DJ, Mohamad ET, Hajihassanic M, Yagiz S, Motaghedie H. Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances, Engineering with Computers, 32, 189-206 (2016).
  8. Yagiz S, Karahan H. Application of various optimization techniques and comparison of their performances for predicting TBM penetration rate in rock mass, International Journal of Rock Mechanics and Mining Sciences, 80, 308-315 (2015).
  9. Frough O, Torabi SR, Yagiz S. Application of RMR for estimating rock mass related TBM utilization and performance parameters, Rock Mechanics and Rock Engineering, 48, 1305-1312 (2015).
  10. Mahdevari S, Shahriar K, Yagiz S, Shirazi MA. A support vector regression model for predicting tunnel boring machine penetration rates, International Journal of Rock Mechanics and Mining Sciences, 72, 214-229 (2014).
  11. Ghasemi E, Yagiz S, Ataei M. Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic, Bulletin of Engineering Geology and the Environment, 73, 23-35 (2014).
  12. Yagiz S. Comment on “Point load test on meta-sedimentary rocks and correlation to UCS and BTS”, [RMRE, 46(4); 889-896], Rock Mechanics and Rock Engineering, 46, 909-912 (2013).
  13. Sen S, Sezer EA, Gokceoglu C, Yagiz S. On sampling strategies for small and continuous data with the modeling of genetic programming and adaptive neuro-fuzzy inference system, Journal of Intelligent & Fuzzy Systems, 23, 297-303 (2012).
  14. Yagiz S. Comments on “Determination of strength parameters and quality assessment of Denizli travertines (SW Turkey)” [Eng Geol, 129–130 (2012) 38–47], Engineering Geology, 147–148, 149-150 (2012).
  15. Yagiz S, Sezer EA, Gokceoglu C. Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks, International Journal of Numerical and Analytical Methods in Geomechanics, 36, 1636-1650 (2012).
Др. Сергей Сабанов
Ассоциированный профессор
Интересы исследования
Закрыть
  1. Automated Mine Ventilation and Ventilation on Demand (VOD)
  2. Intelligent Mining: Automated process and autonomous equipment
  3. Oil Shale In-Situ Retorting
  4. Risk Analysis and Risk Management in mining
Публикации
Закрыть
  1. Sabanov, S. (2018). Comparison of unconfined compressive strengths and acoustic emissions of Estonian oil shale and brittle rocks.  Oil Shale, vol. 35, issue 1. pp. pp. 26–38.
  2. Sabanov, S. (2018). Analysis of field test work results for the oil shale mine ventilation simulation Oil Shale, vol. 35, issue 4. pp. 356–364.
  3. Sabanov, S. (2018). Financial Risk Analysis of Optimized Ventilation System in the Gold Mine. Springer Nature 2018, book chapter: Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection - MPES 2018.
  4. Sabanov, S., Karzhau, A., Aldamzharov, B., Tussupbekov, Y., Mukhamedyarova, Z., Alnazar, N. Risk Analysis methodology in use of automated ventilation control for underground mines. Gorno-Metallurgicheskaya Promyshlennost 2018 (GMP Journal in Russian).
  5. Valgma, I.; Reinsalu, E.; Sabanov, S.; Karu, V. (2010). Quality control of Oil Shale production in Estonian mines. Oil Shale, 27(3), 239 - 249.  
  6. Sabanov, S; Pastarus, J-R; Nikitin, O; Väli, E (2008). Risk Assessment of seismic impact on the roof and pillars stability in Estonian underground. Estonian Journal of Engineering, 14(4), 325 - 333.
  7. Pastarus, J.R.; Sabanov, S (2005). A method for securing working mining block stability in Estonian oil shale mines. Estonian Journal of Engineering, 11(1), pp. 59 – 68.
Др. Амоуссоу Коффи Адоко
Ассистент профессор
Образование
Закрыть
  1. Докторантура (2012), Горная геомеханика, China University of Geosciences, Ухань, Китай
  2. Бакалавриат(2005), Горное дело, Instituto Superior Minero Metalurgico de Moa, Куба
Предыдущие места работы
Закрыть
  1. С 2017 по настоящее время: Ассистент профессор, Горное дело, Школа горного дела и наук о Земле, Назарбаев Университет, Нур-Султан, Казахстан
  2. 2015 - 2017: Ассистент профессор, Горное дело, Botswana International University of Science and Technology, Ботсвана.
  3. 2012-2015: Постдокторант, Институт механики горных пород и грунтов, Chinese Academy of Sciences, Ухань, Китай.
Награды
Закрыть
  1. Chinese Government PhD Scholarship, 2008 -2012
  2. Best graduating student with highest honor “Título de Oro” (Summa Cum Laude), Instituto Superior Minero Metalúrgico de Moa, 2005.
Интересы исследования
Закрыть
  1. Fundamental and experimental Rock Mechanics
  2. 3D-Printing Techniques in rock testing
  3. Surface and underground excavations design and analysis
  4. Underground mine stope performance assessment
  5. Mechanical rock excavations
  6. Data analysis, uncertainty modelling, optimization techniques and artificial intelligence applications in rock engineering problems
Публикации
Закрыть
  1. Zhang, H., Adoko, A. C., Meng, Z., Wang, H. & Jiao, Y. Mechanism of the Mudstone Tunnel Failures Induced by Expansive Clay Minerals. Geotechnical and Geological Engineering. 2016: 1-13, doi: 10.1007/s10706-016-0102-y.
  2. Adoko A C, Jiao Y-Y, Wu L, Wang H, Wang Z-H. Predicting tunnel convergence using Multivariate Adaptive Regression Spline and Artificial Neural Network. Tunnelling and Underground Space Technology. 2013;38:368-76.
  3. Jiao Y-Y, Zhang H-Q, Adoko A C, Tang H-M, Zhang X-L, Tian H-N. Simulating the process of reservoir-impoundment-induced landslide using the extended DDA method. Engineering Geology. 2014;182: 37-48.
  4. Adoko A C, Gokceoglu C, Wu L, Zuo Q- Knowledge-based and data-driven fuzzy modeling for rockburst prediction. International Journal of Rock Mechanics and Mining Sciences. 2013;61:86-95.
  5. Huang G-H, Jiao Y-Y, Zhang X-L, Adoko A C, Li S-C. Generating Irregular Models for 3D Spherical-Particle-Based Numerical Methods. Journal of Applied Mathematics. 2013;2013:7.
  6. Jiao Y-Y, Song L, Wang X-Z, Adoko A C. Improvement of the U-shaped steel sets for supporting the roadways in loose thick coal seam. International Journal of Rock Mechanics and Mining Sciences. 2013;60:19-25.
  7. Jiao Y-Y, Wang Z-H, Wang X-Z, Adoko A C, Yang Z-X. Stability assessment of an ancient landslide crossed by two coal mine tunnels. Engineering Geology. 2013;159:36-44.
  8. Adoko A C, Wu L. Estimation of the convergence of high speed railway tunnel in weak rock using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) approach. Journal of rock mechanics and geotechnical engineering. 2012;4:11-8.
  9. Zuo Q, Wu L, Adoko A C, Lu Z. Analysis of surrounding rock mass deformation characteristics: Case study of BaoZhen Tunnel, Hubei China. Electronic Journal of Geotechnical Engineering. 2012;17 N:2002-13.
  10. Adoko A C, Zuo Q-J, Wu L. A Fuzzy Model for High-Speed Railway Tunnel Convergence Prediction in Weak Rock. Electronic Journal of Geotechnical Engineering. 2011;16:1275-95.
  11. Adoko A C, Wu L. Fuzzy Inference Systems-Based Approaches in Geotechnical Engineering: A Review. Electronic Journal of Geotechnical Engineering. 2011;16:543-1558.
  12. Adoko, A.C., H. Wang, Y-Y Jiao and I.T. Seitshiro. Developing the Ground Index (GI) for Rock Collapse Assessment in Tunneling. In the 50th US Rock Mechanics / Geomechanics Symposium, Texas, USA, 26-29 June 2016, Paper 16-575
  13. Adoko, A.C. and Y.-Y. Jiao. Predicting Tunnel Convergence in Weak Rocks: Multivariate Adaptive Regression Spline and Rough Set Theory Approaches. In The 8th Asian Rock Mechanics Symposium, ARMS8. Sapporo, Japan, October 14-16, 2014, Paper TUS6-1.
Др. Али Шафией
Ассистент профессор
Интересы исследования
Закрыть
  1. Enhanced Oil Recovery (i.e., nano-EOR, thermal EOR)

  2. Improved Oil Recovery (i.e., Low Salinity Water flooding)

  3. Heavy Oil Recovery (all aspects)

  4. Asphaltene Precipitation Mitigation

  5. Characterization of Petroleum Reservoirs

  6. Advanced Well Logging and Formation Evaluation

  7. Petroleum Reservoir Geomechanics (i.e., pore pressure production, wellbore geomechanics, hydraulic fracturing, ground subsidence assessment)

  8. Petroleum Geoscience (interested in basin analysis, petroleum systems, and origin of petroleum, reservoir quality assessment)

  9. Application of new technologies in Exploration & Production (E&P) activities (i.e., AI, Big Data Analytics, smart oilfields)

Courses:

  1. Introduction to Natural Resources Extraction

  2. Reservoir Rock Properties (Petrophysics)

  3. Well Logging and Formation Evaluation

  4. Reservoir Engineering

  5. Drilling Engineering

  6. Petroleum Geology

  7. Reservoir Characterization

  8. Formation Damage

  9. Reservoir Geomechanics

  10. Heavy Oil Resources and Recovery

  11. Research Methods for Grad Students

Публикации
Закрыть
  1. Bastami, A., Pourafshary, P. and Shafiei, A. 2018. Densities for the Ternary System of CaCl2-H2O-CO2 at Elevated P-T: An Experimental and Modelling Approach with Well Stimulation Implications. Energies, 11(10), 1-19, https://doi.org/10.3390/en11102840.

  2. Sabbagh, F., Mirzaei-Paiaman, A., Ostadhassan, M., Shafiei, A., Rezaee, R., Saboorian-Jooybari, H. and Chen, Z. 2019. A Further Verification of FZI* and PSRTI: Newly Developed Petrophysical Rock Typing Indices. Journal of Petroleum Science and Engineering,175,693–705, JPSE, https://doi.org/10.1016/j.petrol.2019.01.014.

  3. Al-Nofli, K., Pourafshary, P., Mosavat, N. and Shafiei, A. 2018. Effect of Initial Wettability on Performance of Smart Water Flooding in Carbonate Reservoirs—An Experimental Investigation with IOR Implications. Energies, 11(6), 1394; doi: 10.3390/en11061394.

  4. Shafiei, A., Dusseault, M.B., Taleghani, M.N. and Kosari, E. 2018. Fracture characterization and in situ stresses inference in a fractured reservoir – An integrated geophysical-geological approach. Energies, 11(2), 312; doi:10.3390/en11020312.

  5. Shafiei, A., Ahmadi, M.A., Dusseault, M.B., Elkamel, A., Zendehboudi, S. and Chatzis, J. 2018. Energies. Performance prediction of steamflooding fractured carbonate reservoirs. Energies, 11(2), 292; doi:10.3390/en11020292.

  6. Shariatinia, Z., Haghighi, M., Shafiei, A., Feiznia, S. and Zendehboudi, S. 2015. PVTX characteristics of oil inclusions from Asmari formation in Kuh-e-Mond heavy oil field in Iran, International Journal of Earth Sciences, 104(3), 603-623.

  7. Shafiei, A., Ahmadi, M.A., Zaheri, S.H., Baghban, A., Amirfakhrian, A. and Soleimani, R. 2014. Estimating hydrogen sulfide solubility in ionic liquids using a machine learning approach. Journal of Supercritical Fluids, 95, 525–534.

  8. Shafiei, A. and Dusseault, M.B. 2014. Geomechanics of thermal oil production from carbonate reservoirs, Journal of Porous Media,17(4), 301–321.

  9. Zendehboudi, S., Shafiei, A., Bahadori, A., James, L.A., Elkamel, A. and Lohi, A. 2013. Asphaltene precipitation and deposition in oil reservoirs – Technical aspects, experimental and hybrid neural network predictive tools, Chemical Engineering Research & Design, 92 (5), 857–875.

  10. Shafiei, A., Zendehboudi, S., Dusseault, M.B. and Chatzis, I. 2013. Mathematical model for steamflooding in naturally fractured reservoirs, Industrial & Engineering Chemistry Research, 52 (23), 7993–8008.

  11. Shafiei, A., Dusseault, M.B., Zendehboudi, S. and Chatzis, I. 2013. A new screening tool for evaluation of steamflooding performance in naturally fractured carbonate heavy oil reservoirs, Fuel, 108, 502–514.

  12. Shariatinia, Z., Feiznia, S., Shafiei, A., Haghighi, M., Mousavi-Dehghani, A., Memariani, M. and Farhadian, N., 2013. Multiple hydrocarbon charging events in Kuh-e-Mond oil field, Coastal Fars: Evidence from biomarkers in oil inclusions, Geofluids, 13(4), 594–609.

  13. Shafiei, A. and Dusseault, M.B. 2013. Geomechanics of thermal viscous oil production in sandstones, Journal of Petroleum Science and Engineering, 103, 121–139.

  14. Ahmadi, M.A., Zendehboudi, S., Shafiei, A. and James, L. 2012. A nonionic surfactant for enhanced oil recovery from carbonates: Adsorption kinetics and equilibrium. Industrial and Engineering Chemistry Research, 51(29), 9894–9905.

  15. Zendehboudi, S., Shafiei, A., Chatzis, I. and Dusseault, M.B. 2012. Numerical simulation and experimental investigation of gravity drainage in porous media. Journal of Porous Media, 15(3), 211‒232.

  16. Dusseault, M.B. and Shafiei, A. 2011. Oil Sands. Ullmann’s Encyclopedia of Chem. Eng., Wiley, 52 pages.

Др. Нассер Мадани
Ассистент профессор
Образование
Закрыть
  1. (2016) Докторантура в области горного дела, University of Chile (Сантьяго, Чили)
  2. (2009) Магистратура в области горного дела, разведки полезных ископаемых, South Tehran University (Тегеран, Иран)
  3. (2007) Бакалавриат в области горного дела, разведки полезных ископаемых, South Tehran University (Тегеран, Иран)
Предыдущие места работы
Закрыть
  1. С 2017 года по настоящее время: Ассистент-профессор, Школа горного дела и наук о Земле, Назарбаев Университет, Астана, Казахстан
  2. 2016 - 2017: Постдокторант в Научно-исследовательском институте нефтяной промышленности (Тегеран, Иран)
  3. 2012 - 2016 годы: научный сотрудник в Центре передовых технологий в горнодобывающей промышленности, University of Chile, Сантьяго, Чили
  4. 2012 - 2016 гг. - научный сотрудник передовой лаборатории геостатистических суперкомпьютеров, University of Chile (Сантьяго, Чили).
Награды
Закрыть
  1. Награда Hot Paper: 8-е, Журнал геохимических исследований, март-июнь 2015 года, за работу “Combination of geostatistical simulation and fractal modeling for mineral resource classification”, Журнал геохимических исследований. Том 149, с. 59-73.
  2. Студенческие исследовательские гранты, связанные с наградами для студентов по математическим наукам о Земле Журнал: 2500 долл. США (сентябрь 2014 г.)
  3. Лучший студент в университете за самый высокий средний балл (2005)
  4. Лучший студент в университете за самый высокий средний балл (2006)
  5. Лучший студент в университете за самый высокий средний балл (2007)
Интересы исследования
Закрыть
  1. Geostatistics (Deterministic and Stochastic Techniques)
  2. Probabilistic Modeling of Geological/Facies units
  3. Ore Body Evaluation
  4. Sampling, QA/AC
Публикации
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Recent peer-reviewed publications:

  1. Battalgazy, N., Madani, N. (2019). “Categorization of Mineral Resources Based on Different Geostatistical Simulation Algorithms: A Case Study from an Iron Ore Deposit”. Natural Resources Research, DOI: https://doi.org/10.1007/s11053-019-09474-9. In press.
  2. Abildin, Y., Madani, N., Topal, E. (2019). “A Hybrid Approach for Joint Simulation of Geometallurgical Variables with Inequality Constraint”. Minerals 9(1), 24. https://www.mdpi.com/2075-163X/9/1/24
  3. Madani, N., Maleki, M., Emery, X. (2018). “Nonparametric Geostatistical Simulation of Subsurface Facies: Tools for Validating the Reproduction of, and Uncertainty in, Facies Geometry”. Natural Resources Research, DOI:https://doi.org/10.1007/s11053-018-9444-x. In press. https://link.springer.com/article/10.1007/s11053-018-9444-x
  4. Madani, N., Yagiz, S., Coffi Adoko, A. (2018). “Spatial Mapping of the Rock Quality Designation Using Multi-Gaussian Kriging Method”. Minerals 8(11), 530. https://www.mdpi.com/2075-163X/8/11/530/xml
  5. Madani, N., Sadeghi, B. (2018). “Capturing Hidden Geochemical Anomalies in Scarce Data by Fractal Analysis and Stochastic Modeling”.Natural Resources Research, DOI: 10.1007/s11053-018-9421-4. In press.https://link.springer.com/article/10.1007/s11053-018-9421-4
  6. Madani, N., Naderi, A., Biranvand, B., Keshavarz, N. (2018). “Lithofacies uncertainty modeling in a siliciclastic reservoir setting by incorporating geological contacts and seismic information”. Journal of Petroleum Exploration and Production Technology, DOI: 10.1007/s13202-018-0531-7. In press.https://link.springer.com/article/10.1007/s13202-018-0531-7
  7. Madani, N., Emery, X. (2018). “A comparison of search strategies to design the cokriging neighborhood for predicting coregionalized variables”. Stochastic Environmental Research and Risk Assessment, DOI: 10.1007/s00477-018-1578-1. In press.https://link.springer.com/article/10.1007/s00477-018-1578-1
  8. Eze, P.N., Madani, N., Adoko, A.C. (2018). “Multivariate Mapping of Heavy Metals Spatial Contamination in a Cu–Ni Exploration Field (Botswana) Using Turning Bands Co-simulation Algorithm”. Natural Resources Researches. Vol, 28 (1), P. 109-124. DOI: 10.1007/s11053-018-9378-3. https://link.springer.com/article/10.1007/s11053-018-9378-3
  9. Madani, N., Emery, X. (2017) “Plurigaussian simulation of geological domains by truncation of intrinsic random fields of order k”. Stochastic Environmental Research and Risk Assessment. Vol, 31, P. 893-913.https://link.springer.com/article/10.1007/s00477-016-1365-9
  10. Paravarzar, Sh., Emery, X., Madani, N. (2015) “Comparing sequential Gaussian and turning bands algorithms for cosimulating grades in multi-element deposits”. Comptes Rendus Geoscience.Vol. 347, P. 84–93.https://www.sciencedirect.com/science/article/pii/S1631071315000589
  11. Madani, N., Emery, X. (2014). “Simulation of geo-domains accounting for chronology and contact relationships: application to the Río Blanco copper deposit”. Stochastic Environmental Research and Risk Assessment. Vol. 29, p. 2173-2191.https://link.springer.com/article/10.1007/s00477-014-0997-x
  12. Sadeghi, B., Madani, N., Carranza, E.J.M. (2015). “Combination of geostatistical simulation and fractal modeling for mineral resource classification”, Journal of Geochemical Exploration. Vol. 149, p. 59-73.https://www.sciencedirect.com/science/article/pii/S0375674214003768
  13. Maleki, M. Madani, N. Emery, X. (2014). “Capping and kriging grades with long-tailed distributions”. Journal of the South African Institute of Mining and Metallurgy. Vol. 114 (3), p. 255- 263. http://www.scielo.org.za/scielo.php?script=sci_abstract&pid=S2225-62532014000300016
  14. Asghari, O. Madani, N. (2013). “A new approach for the geological risk evaluation of coal resources through a geostatistical simulation”, Arabian Journal of Geosciences (Springer). Vol. 6, p. 929-943.https://link.springer.com/article/10.1007/s12517-011-0391-7
  15. Madani, N. Asghari, O. (2013). “Fault Detection in 3-D by Sequential Gaussian Simulation of Rock Quality Designation (RQD), Case Study: Gazestan Phosphate Ore Deposit (Central Iran)”. Arabian Journal of Geosciences (Springer). Vol. 6, p. 3737-3747. https://link.springer.com/article/10.1007/s12517-012-0633-3
  16. Maleki, M., Madani, N. (2017). “Multivariate Geostatistical Analysis: an application to ore body evaluation”. Iranian Journal of Earth Sciences. Vol. 8, p. 173-184.http://ijes.mshdiau.ac.ir/article_530191.html

 

Recent International Conferences:

  1. Abildin, Y., Madani, N., Topal, E. (2018). “Forecast the mineral processing destinations based on spatial interpolation of geometallurgical variables”. In the proceeding of the Complex Orebodies Conference 2018. The Australian Institute of Mining and Metallurgy (eds.), Brisbane, Australia, p 2.
  2. Battalgazy, N., Madani, N. (2018). “Mineral Resource Assessment in Complex Deposits based on International Standards”. In the proceeding of the Complex Orebodies Conference 2018. The Australian Institute of Mining and Metallurgy (eds.), Brisbane, Australia, p 79.
  3. Madani, N. (2018). “3D Estimation of Variables with Complexity in Cross-Correlation Structures”. In the proceeding of the Complex Orebodies Conference 2018. The Australian Institute of Mining and Metallurgy (eds.), Brisbane, Australia, p 49.
  4. Madani, N., Emery, X. (2018). “Plurigaussian Simulation of Geological Domains in the Presence of Spatial Trends”. In the proceeding of the IAMG 2018, 19th Annual Conference of the International Association for Mathematical Geosciences. Hron, K. Babek, O. Fiserova, E. van den Boogaart, R. (eds.), Olomouc, Czech Republic, p. 25.
  5. Madani, N., Emery, X. (2018). “Sequential co–simulation for resources modelling: How good is the reproduction of the joint spatial
correlation structure?
”. In the proceeding of the Geometallurgy Conference 2018, Back to the Future. The Southern African Institute of Mining and Metallurgy (ed.), Cape Town, South Africa, 13 p.
  6. Madani, N., Yagiz, S., Adoko, A., Battalgazy, N. (2018). “Uncertainty quantification of rock quality designation at the Gazestan phosphate deposit”. In the proceeding of the Geometallurgy Conference 2018, Back to the Future. The Southern African Institute of Mining and Metallurgy (ed.), Cape Town, South Africa, 14 p.
Др. Мухаммад Рехан Хашмет
Ассистент профессор
Интересы исследования
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During the tenure at Petroleum Institute, Dr. Rehan was involved in numerous research activities related to special core analysis and chemical enhanced oil recovery including Surfactant Polymer flooding and CO2 foam flooding for light oil, high temperature, high salinity carbonate reservoirs. Dr. Rehan has also worked as a team lead to establish state of the art EOR lab having coreflooding rig coupled with medical CT in ADNOC research and Innovation center (ADRIC), Petroleum Institute in collaboration with Statoil. In addition to this, he was also team lead to establish the SCAL lab with linear X-ray coreflooding system. All of his research focused on the designing and implementation of different IOR/EOR techniques for industrial application.

The focus of his research comprises of Chemical Enhanced Oil Recovery, CO2 Foam Flooding, Reservoir Engineering, Nonlinear Parameter Optimization and image analysis for insitu saturation monitoring.

Публикации
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  • Shehzad Ahmed, Khaled A. Elraies, Muhammad Rehan Hashmet, Mohamad Sahban Alnarabiji “Empirical Modeling of the Viscosity of Supercritical Carbon Dioxide Foam Fracturing Fluid under Different Downhole Conditions”, Energies, 11(3): 782, 2018.
  • Ali M. AlSumaiti, Muhammad Rehan Hashmet, Waleed S. AlAmeri, Evans Anto-Darkwah, “CO2 Foam Flooding in High Temperature High Salinity Carbonate Reservoirs”, Energy and Fuels, 32(2), pp 1416-1422, 2018.
  • Muhammad Rehan Hashmet, Ali M. AlSumaiti, Waleed S. AlAmeri, Yemna Qaiser, “Laboratory Investigation and Simulation Modeling of Polymer Flooding in High Temperature High Salinity Carbonate Reservoirs”, Energy and Fuels, 31(12), pp 13454-13465, 2017.
  • Shehzad Ahmed, Khaled A. Elraies, Muhammad Rehan Hashmet, Alvinda Hanamertani “Viscosity Models for Polymer Free CO2 Foam Fracturing Fluid with the Effect of Surfactant Concentration, Salinity and Shear Rate”, Energies, 10(12): 1970, 2017.
  • Shehzad Ahmed, Khaled A. Elraies, Isa M. Tan, Muhammad Rehan Hashmet, “Experimental Investigation of Associative Polymer Performance for CO2 Foam Enhanced Oil Recovery”. Journal of Petroleum Science and Engineering, 157: 971-979. 2017.
  • Shehzad Ahmed, Khaled A. Elraies, Jalal Forooozesh, Siti R. B. M. Shafian, Muhammad Rehan Hashmet, Ivy C. C. Hsia, Abdullah Almansour, "Experimental Investigation of Immiscible Supercritical Carbon Dioxide Foam Rheology for Improved Oil Recovery," Journal of Earth Science, 28(5): pp. 835-841, 2017.
  • Evans Anto-Darkwah, Muhammed Rehan Hashmet, and Ali M. Alsumaiti, “Laboratory Investigation of Static Bulk-Foam Tests in the Absence and Presence of Crude Oil”, International Journal of Chemical Engineering and Applications, Vol. 8, Issue 2, pages 112-116, 2017.
  • Muhammad Rehan Hashmet, Mustafa Onur, Isa M. Tan, “Empirical Correlations for Viscosity of Polyacrylamide Solutions with the Effects of Salinity and Hardness”, Journal of Dispersion Science and Technology, Vol. 35, Issue 4, Pages 510 – 517, Year 2014.
  • Muhammad Rehan Hashmet, Mustafa Onur, Isa M. Tan, “Empirical Correlations for Viscosity of Polyacrylamide Solutions with the Effects of Temperature and Shear Rate: II”, Journal of Dispersion Science and Technology, Vol. 35, Issue 12, Pages 1685 – 1690, Year 2014.
  • Muhammad Sagir, Isa M. Tan, Muhammad Mushtaq, Lukman Ismail, Muhammad Nadeem, Muhammad Rizwan Azam, Muhammad Rehan Hashmet, “A Novel Surfactant for the Reduction of CO2/Brine Interfacial Tension”, Journal of Dispersion Science and Technology, Vol. 35, Issue 3, Pages 463 – 470, Year 2014.
  • Muhammad Mushtaq, Isa M. Tan, Lukman Ismail, Muhammad Nadeem, Muhammad Sagir, Rizwan Azam, Muhammad Rehan Hashmet, “Influence of PZC (Point of Zero Charge) on the Static Absorbance of Anionic Surfactants on a Malaysian Sandstone”, Journal of Dispersion Science and Technology, Vol. 35, Issue 3, Pages 343 – 349, Year 2014.
  • Muhammad Rehan Hashmet, Mustafa Onur, Isa M. Tan, “Empirical Correlations for Viscosity of Polyacrylamide Solutions with the Effects of Concentration, Molecular Weight and Degree of Hydrolysis of Polymer” Journal of Applied Sciences.
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