Dr. Mohamed Soufiane Jouini
Dr. Mohamed Soufiane Jouini Associate Professor Mathematics

Contact Information
mohamed.jouini@ku.ac.ae +971 2 312 3306

Biography

Dr. Mohamed Soufiane Jouini is an Associate Professor in Mathematics experienced in numerical simulations to model rock properties based on X-Ray Computed tomography images. He has a Master in Electrical Engineering, a Master of Sciences in Signal and image processing from The National Polytechnic Institute of Toulouse, and a PhD in Signal and Image processing from Bordeaux University.

Dr Jouini had several positions in Research and Development centers in industry before Joining Academia. He was research scientist in Digital Rock Physics at TOTAL E&P Research center in PAU, France for the period 2006-2009. Then, he was appointed as Research and development engineer in image processing algorithms for security applications SAGEM SECURITE (IDEMIA) Research and development Center, Paris, France. Also, on Jan 2010 he was hired as Research and Teaching Associate at ADNOC (Petroleum Institute) to work on projects in Digital Rock Physics. On 2014, Dr Jouini was appointed as Assistant professor at Khalifa University in the Mathematics Department.


Education
  • PhD in Signal and Image processing from Bordeaux University, France
  • MSc in Signal and image processing, National Polytechnic Institute of Toulouse, France
  • MEng in Electrical Engineering, National Polytechnic Institute Toulousee,

Teaching
  • Data Analysis & Geostatistics (PGEG371)
  • Differential Equations (MATH206)
  • Linear Algebra (MATH204)
  • Probability and Stochastic Processes (MATH243)

Affiliated Research Institutes/Centers
  • Petroleum Institute

Research
Research Interests
  • Image processing, Digital Rock Physics, Fractals, Machine Learning


Additional Info

Awards 

  • The Oil & Gas Year Award in the category “Partnership of the Year” 2016 for the project “Digital Rock Physics: Experimental and Digital Rock Physics: Mechanical properties and multiphase flow properties from nanotomography to whole core scale analysis (Reference EX-2014-000025)
  • “The R&D Bright Finding & Integration Pen” by ADNOC R&D Oil Subcommittee on 2014 for the best integrated research project to the industry within ADNOC group.

Selected Publications

  • M. S. Jouini, F. Bouchaala, M. K. Riahi, M. Sassi, H. Abderrahmane and F. Hjouj, (2022). Multifractal Analysis of Reservoir Rock Samples Using 3D X-Ray Micro Computed Tomography Images," in IEEE Access, vol. 10, pp. 67898-67909, 2022, doi: 10.1109/ACCESS.2022.3186476.
    Bouchaala, F.; Ali, M.Y.; Matsushima, J.; Bouzidi, Y.; Jouini, M.S.; Takougang, E.M.; Mohamed, A. (2022) Estimation of Seismic Wave Attenuation from 3D Seismic Data: A Case Study of OBC Data Acquired in an Offshore Oilfield. Energies, 15, 534. https://doi.org/10.3390/en15020534 
  • E. R. Ibrahim, M. S. Jouini, F. Bouchaala, J. Gomes. (2021) Simulation and Validation of Porosity and Permeability of Synthetic and Real Rock Models Using Three-Dimensional Printing and Digital Rock Physics. ACS Omega, 6, 47, 31775–31781.  https://doi.org/10.1021/acsomega.1c04429 
  • Jouini, M. S., J. S. Gomes, M. Tembely and E. R. Ibrahim. (2021). Upscaling Strategy to Simulate Permeability in a Carbonate Sample Using Machine Learning and 3D Printing. in IEEE Access, vol. 9, pp. 90631-90641, 2021, doi: 10.1109/ACCESS.2021.3091772.
  • Tembely, M., Alameri, W.S., Alsumaiti, A.M., Jouini, M.S. (2020). Pore-scale modeling of the effect of wettability on two-phase flow properties for newtonian and non-newtonian fluids. Polymers, 2020, 12(12), pp. 1–22, 2832.
  • Jouini, M.S., AlSumaiti, A., Tembely, M., Hjouj, F., Rahimov, K. (2020). Permeability upscaling in complex carbonate samples using textures of micro-computed tomography images. International Journal of Modelling and Simulation, 2020, 40(4), pp. 245–259.
  • T. F. Faisal, A. Islam, M. S. Jouini, R. S. Devarapalli, M. Jouiad, M. Sassi  (2019). Numerical prediction of carbonate elastic properties based on multi-scale imaging. Geomechanics for Energy and the Environment, ISSN 2352-3808. (in Press)
  • A Islam, TF Faisal, S Chevalier, MS Jouini, M Sassi (2019) Multi-scale experimental and numerical simulation workflow of absolute permeability in heterogeneous carbonates. Journal of Petroleum Science and Engineering. 173, 326-338.
  • Tembely, M., AlSumaiti, A., Jouini, M. S and Rahimov, K. (2017). The Effect of Heat Transfer and Polymer Concentration on Non-Newtonian Fluid from Pore-Scale Simulation of Rock X-ray Micro-CT. Polymers, 9(10), 509.
  • Jouini, M. S. and Keskes N. (2017). Numerical estimation of rock properties and textural facies classification of core samples using X-ray Computed Tomography images. Applied Mathematical Modelling, 41,562-581.
  • Faisal, T. F., Awedalkarim, A., Chevalier, S., Jouini, M.S., Sassi, M. (2017). Direct Scale Comparison of Numerical Linear Elastic Moduli with Acoustic Experiments for Carbonate rock X-ray CT Scanned at Multi-Resolutions. Journal of Petroleum Science and Engineering. 152, 653-663.
  • Jouini, M. S., Vega, S., Al-Ratrout, A. (2015). Numerical estimation of carbonate rock properties using multi-scale images. Geophysical Prospecting, 63(2) 405–421.
  • Vega, S. and Jouini, M. (2015). 2D multifractal analysis and porosity scaling estimation in Lower Cretaceous carbonates. Geophysics, 80(6), 575-586, 2015. 
  • Farid, A., Perveiz, K., KhanZaib, J.,  Jouini,M.S. (2014). The depositional setting of the Late Quaternary sedimentary fill in southern Bannu basin, Northwest Himalayan fold and thrust belt, Pakistan. Environmental Monitoring and Assessment. 1-18, 2014. DOI 10.1007/s10661-014-3876-5
  • Jouini, M. S., Vega, S., and Mokhtar, E. A. (2011). Multiscale characterization of pore spaces using multifractals analysis of scanning electronic microscopy images of carbonates, Non-linear Processes in Geophysics., 18, 941-953, doi:10.5194/npg-18-941-2011.