World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
9315
World Ranking
4546
National Ranking
33

Earth Science

D-Index
48
Citations
9092
World Ranking
3794
National Ranking
4

Overview

Salaheldin Elkatatny is affiliated with King Fahd University of Petroleum and Minerals in Saudi Arabia and has contributed extensively to the field of engineering, with a focus on drilling and well engineering among other areas. Their research spans multiple subfields, including ocean engineering, mechanical engineering, civil and structural engineering, mechanics of materials, and geophysics.

Their main areas of topical interest include drilling and well engineering, hydraulic fracturing and reservoir analysis, tunneling and rock mechanics, concrete and cement materials research, oil and gas production techniques, reservoir engineering and simulation methods, and hydrocarbon exploration and reservoir analysis.

Elkatatny has authored numerous papers, with notable recent publications such as:

  • "A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids" (2021, Journal of Petroleum Science and Engineering)
  • "Geopolymer as the future oil-well cement: A review" (2021, Journal of Petroleum Science and Engineering)
  • "Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools" (2021, Neural Computing and Applications)
  • "Insights into the application of surfactants and nanomaterials as shale inhibitors for water-based drilling fluid: A review" (2021, Journal of Natural Gas Science and Engineering)
  • "Application of machine learning models for real-time prediction of the formation lithology and tops from the drilling parameters" (2021, Journal of Petroleum Science and Engineering)

Their collaborative network includes frequent coauthors such as Hany Gamal, Ahmed Abdulhamid Mahmoud, Ahmed Farid Ibrahim, Abdulazeez Abdulraheem, and Ahmed Gowida.

Elkatatny's research has been published extensively in prominent venues including:

  • ACS Omega
  • Scientific Reports
  • Journal of Energy Resources Technology
  • Arabian Journal for Science and Engineering
  • Journal of Petroleum Science and Engineering

The breadth of Elkatatny's work covers fundamental and applied aspects of engineering disciplines with a particular emphasis on drilling technologies and reservoir analysis. This is reflected in both their diverse publication record and interdisciplinary collaboration within related fields.

Best Publications

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

    Ahmed Abdulhamid A. Mahmoud;Ahmed Abdulhamid A. Mahmoud;Salaheldin Elkatatny;Mohamed Mahmoud;Mohamed Mahmoud;Mohamed Abouelresh;Mohamed Abouelresh

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

    Salaheldin Elkatatny;Salaheldin Elkatatny;Zeeshan Tariq;Mohamed Mahmoud;Mohamed Mahmoud

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

    Salaheldin Elkatatny;Salaheldin Elkatatny;Mohamed Mahmoud;Zeeshan Tariq;Abdulazeez Abdulraheem

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

    Nasiru Salahu Muhammed;Teslim Olayiwola;Salaheldin Elkatatny

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

    Salaheldin Elkatatny

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

    Hany Gamal;Salaheldin Elkatatny;Salem Basfar;Abdulaziz Al-Majed

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

    B.S. Ba geri;Mohamed Mahmoud;Abdulazeez Abdulraheem;S.H. Al-Mutairi

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

    Stephen Adjei;Salaheldin Elkatatny;Wilberforce Nkrumah Aggrey;Yasmin Abdelraouf

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

    Salaheldin Elkatatny;Salaheldin Elkatatny

  • Real Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique

    Khaled Abdelgawad;Salaheldin Elkatatny;Tamer Moussa;Mohamed Mahmoud

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

    Tamer Moussa;Salaheldin Elkatatny;Mohamed Mahmoud;Abdulazeez Abdulraheem

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

    Ahmed Gowida;Salaheldin Elkatatny;Salaheldin Elkatatny;Hany Gamal

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

    Mohammed Eliebid;Mohamed Mahmoud;Reyad Shawabkeh;Salaheldin Elkatatny

  • New Approach to Estimate the Static Poisson?s Ratio using Artificial Intelligence Techniques

    Salaheldin Elkatatny

  • A Robust Rate of Penetration Model for Carbonate Formation

    Ahmad Al-AbdulJabbar;Salaheldin Elkatatny;Mohamed Mahmoud;Khaled Abdelgawad

  • Filter Cake Properties of Water-Based Drilling Fluids Under Static and Dynamic Conditions Using Computed Tomography Scan

    Salaheldin Elkatatny;Mohamed Mahmoud;Hisham A. Nasr-El-Din

  • Insights into the application of surfactants and nanomaterials as shale inhibitors for water-based drilling fluid: A review

    Nasiru Salahu Muhammed;Teslim Olayiwola;Salaheldin Elkatatny;Bashirul Haq

  • New Model for Pore Pressure Prediction While Drilling Using Artificial Neural Networks

    Abdulmalek Ahmed;Salaheldin Elkatatny;Salaheldin Elkatatny;Abdulwahab Ali;Mohamed Mahmoud

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

    Muhammad Shahzad Kamal;Mohamed Mahmoud;Mohammed Hanfi;Salaheldin Elkatatny

  • An integrated approach for estimating static Young’s modulus using artificial intelligence tools

    Salaheldin Elkatatny;Salaheldin Elkatatny;Zeeshan Tariq;Mohamed Mahmoud;Mohamed Mahmoud;Abdulazeez Abdulraheem

  • Development of a new correlation to determine the static Young’s modulus

    Salaheldin Elkatatny;Mohamed Mahmoud;Ibrahim Mohamed;Abdulazeez Abdulraheem

  • Enhancing the Rheological Properties of Water-Based Drilling Fluid Using Micronized Starch

    Salaheldin Elkatatny

Frequent Co-Authors

Mohamed Mahmoud
Mohamed Mahmoud King Fahd University of Petroleum and Minerals
Abdulazeez Abdulraheem
Abdulazeez Abdulraheem King Fahd University of Petroleum and Minerals
Shirish Patil
Shirish Patil King Fahd University of Petroleum and Minerals
Hisham A. Nasr-El-Din
Hisham A. Nasr-El-Din Texas A&M University
Ibnelwaleed A. Hussein
Ibnelwaleed A. Hussein Qatar University
Abdullah S. Sultan
Abdullah S. Sultan King Fahd University of Petroleum and Minerals
Mustafa S. Nasser
Mustafa S. Nasser Qatar University
Pacelli L.J. Zitha
Pacelli L.J. Zitha Delft University of Technology
Alireza Bahadori
Alireza Bahadori Southern Cross University

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