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Salaheldin Elkatatny

Researcher Next ID · RN-023692

Researcher · Engineering

King Fahd University of Petroleum and Minerals

Dhahran, Indonesia

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Not currently recruitingFunding unknown
Works count
565
Citation count
10,777
H-index
51
i10-index
309

Research interests

Engineering
Drilling and Well Engineering
Hydraulic Fracturing and Reservoir Analysis
Tunneling and Rock Mechanics
Reservoir Engineering and Simulation Methods
Oil and Gas Production Techniques

Publications

  • A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids

    Journal of Petroleum Science and Engineering · 2021 · 10.1016/j.petrol.2021.109043

  • Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools

    Neural Computing and Applications · 2021 · 10.1007/s00521-020-05546-7

  • Geopolymer as the future oil-well cement: A review

    Journal of Petroleum Science and Engineering · 2021 · 10.1016/j.petrol.2021.109485

  • Effect of pH on Rheological and Filtration Properties of Water-Based Drilling Fluid Based on Bentonite

    Sustainability · 2019 · 10.3390/su11236714

  • Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches

    Journal of Energy Resources Technology · 2018 · 10.1115/1.4039270

  • Clay minerals damage quantification in sandstone rocks using core flooding and NMR

    Journal of Petroleum Exploration and Production Technology · 2018 · 10.1007/s13202-018-0507-7

  • Effect of CO2 adsorption on enhanced natural gas recovery and sequestration in carbonate reservoirs

    Journal of Natural Gas Science and Engineering · 2017 · 10.1016/j.jngse.2017.04.019

  • New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network

    Neural Computing and Applications · 2017 · 10.1007/s00521-017-2850-x

  • Real-Time Prediction of Rheological Parameters of KCl Water-Based Drilling Fluid Using Artificial Neural Networks

    Arabian Journal for Science and Engineering · 2017 · 10.1007/s13369-016-2409-7

  • New Approach to Optimize the Rate of Penetration Using Artificial Neural Network

    Arabian Journal for Science and Engineering · 2017 · 10.1007/s13369-017-3022-0

  • Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network

    International Journal of Coal Geology · 2017 · 10.1016/j.coal.2017.05.012

  • Single stage filter cake removal of barite weighted water based drilling fluid

    Journal of Petroleum Science and Engineering · 2016 · 10.1016/j.petrol.2016.10.059

  • Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box)

    Journal of Petroleum Science and Engineering · 2016 · 10.1016/j.petrol.2016.08.021

Current projects

    No projects listed.