Mohamed Sassi

ORCID: 0000-0002-8789-6473
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About
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Research Areas
  • Enhanced Oil Recovery Techniques
  • Magnetic confinement fusion research
  • Hydraulic Fracturing and Reservoir Analysis
  • Particle accelerators and beam dynamics
  • Hydrocarbon exploration and reservoir analysis
  • Combustion and flame dynamics
  • Plasma Diagnostics and Applications
  • Lattice Boltzmann Simulation Studies
  • Fluid Dynamics and Turbulent Flows
  • Gyrotron and Vacuum Electronics Research
  • Laser-Plasma Interactions and Diagnostics
  • Industrial Gas Emission Control
  • Superconducting Materials and Applications
  • Seismic Imaging and Inversion Techniques
  • Drilling and Well Engineering
  • Catalytic Processes in Materials Science
  • Heat Transfer and Optimization
  • Heat and Mass Transfer in Porous Media
  • Nuclear Physics and Applications
  • Heat Transfer Mechanisms
  • Mineral Processing and Grinding
  • Rocket and propulsion systems research
  • Wind and Air Flow Studies
  • Advanced Combustion Engine Technologies
  • Fusion materials and technologies

Khalifa University of Science and Technology
2017-2024

Ausonius Institut de Recherche sur l'Antiquité et le Moyen age
2015-2024

Université Bordeaux Montaigne
2015-2024

Université Oran 1 Ahmed Ben Bella
2023-2024

Libyan International Medical University
2022

Gendarmerie Nationale
2022

University of Monastir
2001-2021

Abu Dhabi National Oil (United Arab Emirates)
2021

Hospital Fatuma Bourguiba Monastir
2015-2021

Université IBN Khaldoun Tiaret
2021

This study employs a stacked ensemble machine learning approach to predict carbonate rocks' porosity and absolute permeability with various pore-throat distributions heterogeneity. Our dataset consists of 2D slices from 3D micro-CT images four core samples. The stacking integrates predictions several learning-based models into single meta-learner model accelerate the prediction improve model's generalizability. We used randomized search algorithm attain optimal hyperparameters for each by...

10.1038/s41598-023-36096-2 article EN cc-by Scientific Reports 2023-06-17

10.1016/j.ijheatmasstransfer.2014.11.017 article EN publisher-specific-oa International Journal of Heat and Mass Transfer 2014-11-21

Characterizing heterogeneity in reservoir rocks at the pore scale is crucial to understand flow patterns better, and estimate petrophysical properties such as porosity permeability. This study introduces multifractals descriptors for rock samples’ scale. We analyzed twenty samples from sandstone carbonate reservoirs using their 3D X-ray micro-computed tomography images. In addition, we simulated permeability examined correlation with multifractal parameters. The results show that...

10.1109/access.2022.3186476 article EN cc-by IEEE Access 2022-01-01

Permeability upscaling in carbonate rocks is challenging due to the heterogeneity at multiple scales. Although there are several computational methods for permeability upscaling, applicability, time, and associated accuracy of these may vary significantly. This article modified an established Karim Krabbenhoft renormalization method (KRM) proposed a regression-based rocks, results compared with classical KRM. To this end, small-scale samples (size = 5003 6003 voxels, from 405 7944 μm3) whole...

10.1021/acs.energyfuels.1c04010 article EN cc-by Energy & Fuels 2022-02-25

Sulfur-bearing compounds are very detrimental to the environment and industrial process equipment. They often obtained or formed as a by-product of separation thermal processing fuels containing sulfur, such coal, crude oil natural gas. The two sulfur compounds, which need special attention, are: hydrogen sulfide (H2S) dioxide (SO2). H2S is highly corrosive gas with foul smell. SO2 toxic responsible for acid rain formation equipment corrosion. Various methods reducing pollutants described in...

10.3844/ajessp.2008.502.511 article EN American Journal of Environmental Sciences 2008-05-01

This paper deals with the job shop problem of simultaneous scheduling production operations and preventive maintenance tasks. To solve this problem, we develop an elitist multi-objective genetic algorithm that provides a set Pareto optimal solutions minimising makespan total cost. A deep study was made to choose best encoding, operators, different probabilities. Some lower bounds adopted criteria are developed. The computational experiments carried out on published instances validate...

10.1080/00207543.2010.492405 article EN International Journal of Production Research 2010-07-12

One of the fundamental physical phenomena related to CO2 injection in subsurface brine-saturated formations is dissolution-diffusion-convection process CO2. The injected supercritical being less dense than brine settles beneath formation seal. overlying CO2-saturated slightly heavier itself thus a density- driven convective flow occurs which will enhance dissolution rate CO2, reduce time for solutal trapping and increase storage security. In this work experiments simulations at laboratory...

10.1016/j.egypro.2013.06.450 article EN Energy Procedia 2013-01-01

<p>Automated image processing algorithms can improve the quality, efficiency, and consistency of classifying morphology heterogeneous carbonate rock deal with a massive amount data images seamlessly. Geoscientists petroleum engineers face difficulties in setting direction optimum method for determining petrophysical properties from core plug optical thin-sections, Micro-Computed Tomography (μCT), or Magnetic Resonance Imaging (MRI). Most successful work is homogeneous clastic rocks...

10.36227/techrxiv.16961551 preprint EN cc-by 2021-11-11

Electron temperatures in excess of 8 keV have been obtained by electron-cyclotron-resonance heating on FTU plasmas at peak densities up to $8\ifmmode\times\else\texttimes\fi{}{10}^{19}\mathrm{m}{}^{\ensuremath{-}3}$. The magnetic shear the plasma core is low or negative, and electron heat diffusivity remains at, below, Ohmic level $(0.2\mathrm{m}{}^{2}/\mathrm{s})$, spite very large power density $(10--20\mathrm{MW}/\mathrm{m}{}^{3})$ which produces extremely high temperature gradients (up...

10.1103/physrevlett.82.560 article EN Physical Review Letters 1999-01-18

Abstract Automated image processing algorithms can improve the quality and speed of classifying morphology heterogeneous carbonate rock. Several commercial products have worked to produce petrophysical properties from 2D images with less extent 3D images, relying on flow simulation. Images are mainly micro-computed tomography (μCT), optical thin-section, or magnetic resonance (MRI). However, most successful work is homogeneous clastic rocks. In this work, we demonstrated a Machine Learning...

10.2118/196657-ms article EN SPE Reservoir Characterisation and Simulation Conference and Exhibition 2019-09-10

<p><a></a>Each grid block in a 3D geological model requires rock type that represents all physical and chemical properties of block. The classify types are lithology, permeability, capillary pressure. Scientists engineers determined these using conventional laboratory measurements, which embedded destructive methods to the sample or altered some its (i.e., wettability, porosity) because measurements process includes crushing, fluid flow, saturation. Lately, Digital Rock...

10.36227/techrxiv.17876570.v1 preprint EN cc-by 2022-01-07

Studies on the current-drive (CD) efficiency have been carried out in FTU tokamak with 8 GHz lower-hybrid waves up to line-averaged plasma density ${\overline{n}}_{e}>1\ifmmode\times\else\texttimes\fi{}{10}^{20}{\mathrm{m}}^{\ensuremath{-}3}$. High efficiencies, larger than $0.2\ifmmode\times\else\texttimes\fi{}{10}^{20}{\mathrm{m}}^{\ensuremath{-}2}\mathrm{A}/\mathrm{W}$, are obtained for clean conditions, no significant degradation as is increased accessibility limit. The electron...

10.1103/physrevlett.82.93 article EN Physical Review Letters 1999-01-04

10.1016/j.applthermaleng.2006.04.007 article EN Applied Thermal Engineering 2006-06-11

Permeability has a dominant influence on the flow properties of natural fluid. Lattice Boltzmann simulator determines permeability from nano and micropore network. The holds millions dynamics calculations with its accumulated errors high consumption computing power. To efficiently consistently predict permeability, we propose morphology decoder, parallel serial reconstruction machine learning segmented heterogeneous Cretaceous texture 3D micro computerized tomography nuclear magnetic...

10.48550/arxiv.2111.13460 preprint EN cc-by-nc-nd arXiv (Cornell University) 2021-01-01

This paper deals with pore-scale two-phase flow simulations in carbonate rock using the pore network method (PNM). was used to determine and properties of three different samples, such as porosity, capillary pressure, absolute permeabilities, oil–water relative permeabilities. The further matrices, size distribution, topological structure, aspect ratio, throat shape factor, connected total permeability. predicted simulation for network-connected permeability agree well those measured...

10.3390/en14216897 article EN cc-by Energies 2021-10-21

The scientific goal of the Ignitor experiment is to approach, for first time, ignition conditions a magnetically confined D–T plasma. IGNIR collaboration between Italy and Russia centred on construction core machine in its installation operation within Triniti site (Troitsk). A parallel initiative has developed that integrates this programme, involving study plasmas which high-energy populations are present, with ongoing research astrophysics, theory effort National Institute High...

10.1088/0029-5515/53/10/104013 article EN Nuclear Fusion 2013-09-26
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