Salaheldin Elkatatny
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Researcher ORCID ID = 0000-0002-7209-3715
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(Suggest an Edit or Addition)Salaheldin Elkatatny's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network (2017) (102)
- Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box) (2016) (101)
- Single stage filter cake removal of barite weighted water based drilling fluid (2017) (67)
- New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network (2018) (64)
- Real-Time Prediction of Rheological Parameters of KCl Water-Based Drilling Fluid Using Artificial Neural Networks (2017) (61)
- Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches (2018) (54)
- Characterization of Filter Cake Generated by Water-Based Drilling Fluids Using CT Scan (2012) (53)
- Real-Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique (2019) (50)
- Effect of pH on Rheological and Filtration Properties of Water-Based Drilling Fluid Based on Bentonite (2019) (46)
- A Robust Rate of Penetration Model for Carbonate Formation (2018) (45)
- An integrated approach for estimating static Young’s modulus using artificial intelligence tools (2019) (43)
- Filter Cake Properties of Water-Based Drilling Fluids Under Static and Dynamic Conditions Using Computed Tomography Scan (2013) (43)
- A New Technique to Develop Rock Strength Correlation Using Artificial Intelligence Tools (2017) (43)
- New Approach to Optimize the Rate of Penetration Using Artificial Neural Network (2018) (42)
- Clay minerals damage quantification in sandstone rocks using core flooding and NMR (2018) (40)
- A New Artificial Intelligence Based Empirical Correlation to Predict Sonic Travel Time (2016) (40)
- Development of new correlations for the oil formation volume factor in oil reservoirs using artificial intelligent white box technique (2017) (39)
- Estimation of Static Young’s Modulus for Sandstone Formation Using Artificial Neural Networks (2019) (39)
- Development of a new correlation to determine the static Young’s modulus (2018) (39)
- Adaptive and Real-Time Optimal Control of Stick–Slip and Bit Wear in Autonomous Rotary Steerable Drilling (2018) (36)
- A New Approach to Predict Failure Parameters of Carbonate Rocks using Artificial Intelligence Tools (2017) (36)
- Effect of CO2 adsorption on enhanced natural gas recovery and sequestration in carbonate reservoirs (2017) (34)
- Estimation of Oil Recovery Factor for Water Drive Sandy Reservoirs through Applications of Artificial Intelligence (2019) (33)
- Development of New Mathematical Model for Compressional and Shear Sonic Times from Wireline Log Data Using Artificial Intelligence Neural Networks (White Box) (2018) (33)
- Development of a New Correlation for Bubble Point Pressure in Oil Reservoirs Using Artificial Intelligent Technique (2018) (33)
- Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System (2020) (32)
- New insights into porosity determination using artificial intelligence techniques for carbonate reservoirs (2018) (32)
- New Model for Pore Pressure Prediction While Drilling Using Artificial Neural Networks (2018) (31)
- New Approach to Estimate the Static Poisson?s Ratio using Artificial Intelligence Techniques (2018) (31)
- New Artificial Neural Networks Model for Predicting Rate of Penetration in Deep Shale Formation (2019) (31)
- Prediction of the Rate of Penetration while Drilling Horizontal Carbonate Reservoirs Using the Self-Adaptive Artificial Neural Networks Technique (2020) (30)
- The Evaluation of Micronized Barite As a Weighting Material for Completing HPHT Wells (2017) (29)
- A Combined Barite–Ilmenite Weighting Material to Prevent Barite Sag in Water-Based Drilling Fluid (2019) (28)
- Optimization of Rate of Penetration using Artificial Intelligent Techniques (2017) (28)
- Gas condensate treatment: A critical review of materials, methods, field applications, and new solutions (2019) (28)
- Enhancing the Rheological Properties of Water-Based Drilling Fluid Using Micronized Starch (2019) (28)
- Mitigation of barite sagging during the drilling of high-pressure high-temperature wells using an invert emulsion drilling fluid (2019) (28)
- Evaluation of the Total Organic Carbon (TOC) Using Different Artificial Intelligence Techniques (2019) (27)
- Novel Technique to Eliminate Gas Condensation in Gas Condensate Reservoirs Using Thermochemical Fluids (2018) (27)
- Insights into the application of surfactants and nanomaterials as shale inhibitors for water-based drilling fluid: A review (2021) (25)
- Prediction of Pore and Fracture Pressures Using Support Vector Machine (2019) (25)
- New Technique to Determine the Total Organic Carbon Based on Well Logs Using Artificial Neural Network (White Box) (2017) (24)
- Influence of Nanoclay Content on Cement Matrix for Oil Wells Subjected to Cyclic Steam Injection (2019) (24)
- Estimation of the Total Organic Carbon Using Functional Neural Networks and Support Vector Machine (2020) (24)
- Improving class G cement carbonation resistance for applications of geologic carbon sequestration using synthetic polypropylene fiber (2020) (24)
- Use of Machine Learning and Data Analytics to Detect Downhole Abnormalities While Drilling Horizontal Wells, With Real Case Study (2021) (24)
- Enhancing the Stability of Invert Emulsion Drilling Fluid for Drilling in High-Pressure High-Temperature Conditions (2018) (23)
- Prevention of Barite Sag in Oil-Based Drilling Fluids Using a Mixture of Barite and Ilmenite as Weighting Material (2019) (23)
- Barite–Micromax mixture, an enhanced weighting agent for the elimination of barite sag in invert emulsion drilling fluids (2020) (23)
- A Self-Adaptive Artificial Neural Network Technique to Predict Total Organic Carbon (TOC) Based on Well Logs (2018) (23)
- Mitigating CO2 reaction with hydrated oil well cement under geologic carbon sequestration using nanoclay particles (2019) (23)
- New Computational Artificial Intelligence Models for Generating Synthetic Formation Bulk Density Logs While Drilling (2020) (22)
- A review on clay chemistry, characterization and shale inhibitors for water-based drilling fluids (2021) (22)
- Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools (2021) (22)
- New Robust Model to Evaluate the Total Organic Carbon Using Fuzzy Logic (2019) (22)
- New approach to evaluate the equivalent circulating density (ECD) using artificial intelligence techniques (2018) (22)
- Data-Driven Framework to Predict the Rheological Properties of CaCl2 Brine-Based Drill-in Fluid Using Artificial Neural Network (2019) (22)
- Mixing chelating agents with seawater for acid stimulation treatments in carbonate reservoirs (2017) (22)
- Rock Strength Prediction in Real-Time While Drilling Employing Random Forest and Functional Network Techniques (2021) (21)
- The Effect of Weighting Materials on Oil-Well Cement Properties While Drilling Deep Wells (2019) (21)
- Using high- and low-salinity seawater injection to maintain the oil reservoir pressure without damage (2017) (21)
- Prevention of Barite Sag in Water-Based Drilling Fluids by A Urea-Based Additive for Drilling Deep Formations (2020) (21)
- Comparative analysis of artificial intelligence techniques for formation pressure prediction while drilling (2019) (21)
- Predicting Rate of Penetration Using Artificial Intelligence Techniques (2018) (21)
- Application of machine learning models for real-time prediction of the formation lithology and tops from the drilling parameters (2021) (20)
- New Robust Model to Estimate Formation Tops in Real Time Using Artificial Neural Networks (ANN) (2019) (20)
- Application of Machine Learning in Evaluation of the Static Young’s Modulus for Sandstone Formations (2020) (20)
- A Holistic Approach to Develop New Rigorous Empirical Correlation for Static Young's Modulus (2016) (20)
- Application of artificial neural network to predict the rate of penetration for S-shape well profile (2020) (20)
- Real-time determination of rheological properties of high over-balanced drilling fluid used for drilling ultra-deep gas wells using artificial neural network (2020) (20)
- Enhancing the cement quality using polypropylene fiber (2019) (19)
- Modeling of Filter Cake Composition in Maximum Reservoir Contact and Extended Reach Horizontal Wells in Sandstone Reservoirs (2017) (19)
- Prediction of Bubble Point Pressure Using Artificial Intelligence AI Techniques (2016) (19)
- Development of Chelating Agent-Based Polymeric Gel System for Hydraulic Fracturing (2018) (19)
- Optimizing the Gel Strength of Water-Based Drilling Fluid Using Clays for Drilling Horizontal and Multi-Lateral Wells (2018) (19)
- Cutting concentration prediction in horizontal and deviated wells using artificial intelligence techniques (2019) (19)
- Intelligent Prediction of Minimum Miscibility Pressure (MMP) During CO2 Flooding Using Artificial Intelligence Techniques (2019) (19)
- Geopolymer as the future oil-well cement: A review (2022) (18)
- Prediction of Rate of Penetration of Deep and Tight Formation Using Support Vector Machine (2018) (18)
- Removal of water-based filter cake and stimulation of the formation in one-step using an environmentally friendly chelating agent (2014) (18)
- Estimation of Rock Mechanical Parameters Using Artificial Intelligence Tools (2017) (18)
- A Hybrid Artificial Intelligence Model to Predict the Elastic Behavior of Sandstone Rocks (2019) (18)
- Application of Artificial Intelligent Techniques to Determine Sonic Time from Well Logs (2016) (18)
- Coupling rate of penetration and mechanical specific energy to Improve the efficiency of drilling gas wells (2020) (17)
- Prevention of Barite Sagging While Drilling High-Pressure High-Temperature (HPHT) Wells (2018) (17)
- Effect of Different Weighting Agents on Drilling Fluids and Filter Cake Properties in Sandstone Formations (2021) (17)
- A Self-Adaptive Artificial Intelligence Technique to Predict Oil Pressure Volume Temperature Properties (2018) (17)
- Development of a Homogenous Cement Slurry Using Synthetic Modified Phyllosilicate while Cementing HPHT Wells (2019) (17)
- Effect of Arenite, Calcareous, Argillaceous, and Ferruginous Sandstone Cuttings on Filter Cake and Drilling Fluid Properties in Horizontal Wells (2019) (17)
- New Technology to Evaluate Equivalent Circulating Density While Drilling Using Artificial Intelligence (2018) (17)
- Evaluation of Rock Mechanical Properties Alteration During Matrix Stimulation With Chelating Agents (2016) (17)
- Evaluation of Ilmenite as Weighting Material in Water-Based Drilling Fluids for HPHT Applications (2012) (17)
- Application of Artificial Intelligence Techniques in Estimating Oil Recovery Factor for Water Derive Sandy Reservoirs (2017) (16)
- Synthesis and Experimental Investigation of Novel CNT-Polymer Nanocomposite to Enhance Borehole Stability at High Temperature Drilling Applications (2018) (16)
- Application of Artificial Intelligence Techniques to Predict the Well Productivity of Fishbone Wells (2019) (16)
- Thermochemical Upgrading of Calcium Bentonite for Drilling Fluid Applications (2018) (16)
- ESTIMATION OF RESERVOIR POROSITY FROM DRILLING PARAMETERS USING ARTIFICIAL NEURAL NETWORKS (2020) (16)
- Optimizing the Rheological Properties of Water-based Drilling Fluid Using Clays and Nanoparticles for Drilling Horizontal and Multi-lateral Wells (2018) (16)
- Evaluation of the Reaction Kinetics of Diethylenetriaminepentaacetic Acid Chelating Agent and a Converter with Barium Sulfate (Barite) Using a Rotating Disk Apparatus (2018) (16)
- Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling Parameters (2021) (16)
- Real-Time Prediction of the Rheological Properties of Water-Based Drill-In Fluid Using Artificial Neural Networks (2019) (16)
- Development of lithology-based static Young's modulus correlations from log data based on data clustering technique (2016) (16)
- A review of different approaches for water-based drilling fluid filter cake removal (2020) (16)
- Real Time Prediction of the Rheological Properties of Oil-Based Drilling Fluids Using Artificial Neural Networks (2018) (15)
- Development of a new rate of penetration model using self-adaptive differential evolution-artificial neural network (2019) (15)
- Overview of the lightweight oil-well cement mechanical properties for shallow wells (2020) (15)
- Fracture Pressure Prediction Using Radial Basis Function (2019) (15)
- Determination the Rheological Properties of Invert Emulsion Based Mud on Real Time Using Artificial Neural Network (2016) (15)
- Adsorption Role in Shale Gas Recovery and the Feasibility of CO 2 in Shale Enhanced Gas Recovery: A Study on Shale Gas from Saudi Arabia (2017) (14)
- A New Approach to Determine Filter Cake Properties of Water-Based Drilling Fluids (2011) (14)
- APPLICATION OF ARTIFICIAL NEURAL NETWORK TO PREDICT FORMATION BULK DENSITY WHILE DRILLING (2019) (14)
- Improved durability of Saudi Class G oil-well cement sheath in CO2 rich environments using olive waste (2020) (14)
- Artificial Neural Networks Model for Prediction of the Rate of Penetration While Horizontally Drilling Carbonate Formations (2020) (14)
- Artificial neural network model for real-time prediction of the rate of penetration while horizontally drilling natural gas-bearing sandstone formations (2021) (13)
- New Formulation for Iron Sulfide Scale Removal (2017) (13)
- Deep Illustration for Loss of Circulation While Drilling (2020) (13)
- Rock Drillability Intelligent Prediction for a Complex Lithology Using Artificial Neural Network (2020) (13)
- Evaluation of a New Environmentally Friendly Treatment to Remove Mn3O4 Filter Cake (2012) (13)
- New correlations for better monitoring the all-oil mud rheology by employing artificial neural networks (2021) (13)
- Rate of Penetration Prediction in Shale Formation Using Fuzzy Logic (2019) (13)
- An Overview of the Common Water-Based Formulations Used for Drilling Onshore Gas Wells in the Middle East (2020) (13)
- Effect of exposure time on the compressive strength and formation damage of sandstone while drilling horizontal wells (2020) (12)
- Formation Damage Avoidance by Reducing Invasion with Sodium Silicate-Modified Water-Based Drilling Fluid (2019) (12)
- Real-Time Prediction of Rate of Penetration in S-Shape Well Profile Using Artificial Intelligence Models (2020) (12)
- Real-Time Prediction of Rheological Properties of All-Oil Mud Using Artificial Intelligence (2020) (12)
- Removal of Calcium Carbonate Water-Based Filter Cake Using a Green Biodegradable Acid (2020) (12)
- Predicting Formation Tops While Drilling Using Artificial Intelligence (2018) (12)
- Artificial Intelligence Models for Real-Time Bulk Density Prediction of Vertical Complex Lithology Using the Drilling Parameters (2021) (12)
- Improving Class G Cement Carbonation Resistance Using Nanoclay Particles for Geologic Carbon Sequestration Applications (2018) (12)
- Estimation of Geomechanical Failure Parameters from Well Logs Using Artificial Intelligence Techniques (2017) (12)
- Impact of Perlite on the Properties and Stability of Water-Based Mud in Elevated-Temperature Applications (2020) (12)
- Stimulation of Seawater Injectors by GLDA (Glutamic-Di Acetic Acid) (2016) (12)
- Effect of Formation Cutting’s Mechanical Properties on Drilling Fluid Properties During Drilling Operations (2020) (12)
- Reaction Kinetics and Coreflooding Study of High-Temperature Carbonate Reservoir Stimulation Using GLDA in Seawater (2019) (12)
- New Hybrid Hole Cleaning Model for Vertical and Deviated Wells (2020) (12)
- Using Hydrochloric Acid to Remove Ilmenite Water-Based Filter Cake in HPHT Applications (2013) (12)
- Rate of penetration prediction while drilling vertical complex lithology using an ensemble learning model (2022) (12)
- Impact of Surfactant on the Retention of CO2 and Methane in Carbonate Reservoirs (2018) (12)
- Effect of perlite particles on the properties of oil-well class G cement (2021) (12)
- Integrated petrophysical and reservoir characterization workflow to enhance permeability and water saturation prediction (2015) (11)
- Removal of Barite-Scale and Barite-Weighted Water- or Oil-Based-Drilling-Fluid Residue in a Single Stage (2018) (11)
- Nanoclay Content Influence on Cement Strength for Oil Wells Subjected to Cyclic Steam Injection and High-Temperature Conditions (2018) (11)
- Effect of Polypropylene Fibers on Oil-Well Cement Properties at HPHT Condition (2018) (10)
- Prediction of Surface Oil Rates for Volatile Oil and Gas Condensate Reservoirs Using Artificial Intelligence Techniques (2021) (10)
- Prediction of Sonic Wave Transit Times From Drilling Parameters While Horizontal Drilling in Carbonate Rocks Using Neural Networks (2020) (10)
- Prevention of hematite settling using synthetic layered silicate while drilling high-pressure wells (2020) (10)
- Influence of mud filtrate on the pore system of different sandstone rocks (2021) (10)
- Improved Predictions in Oil Operations Using Artificial Intelligent Techniques (2019) (10)
- Real-time prediction of Poisson’s ratio from drilling parameters using machine learning tools (2021) (10)
- Exposure Time Impact on the Geomechanical Characteristics of Sandstone Formation during Horizontal Drilling (2020) (10)
- Real-time prediction of rate of penetration while drilling complex lithologies using artificial intelligence techniques (2020) (10)
- Fabrication of kaolin-based cement plug for CO2 storage wells (2017) (10)
- Enhancing Hematite-Based Invert Emulsion Mud Stability at High-Pressure High-Temperature Wells (2020) (10)
- Removal Efficiency of Water-Based Drill-In Fluid Filter Cake Using Polylactic Acid (2012) (10)
- Evaluating the Chemical Reaction of Chelating Agents with Xanthan Gum (2017) (9)
- Flow Rate-Dependent Skin in Water Disposal Injection Well (2014) (9)
- A New Model for Predicting Rate of Penetration Using an Artificial Neural Network (2020) (9)
- Stability Enhancing of Water-Based Drilling Fluid at High Pressure High Temperature (2020) (9)
- The Role of Drilled Formation in Filter Cake Properties Utilizing Different Weighting Materials (2021) (9)
- Development of New Correlation of Unconfined Compressive Strength for Carbonate Reservoir Using Artificial Intelligence Techniques (2017) (9)
- Drilling Data-Based Approach to Build a Continuous Static Elastic Moduli Profile Utilizing Artificial Intelligence Techniques (9)
- Rate of Penetration Prediction Using Self-Adaptive Differential Evolution-Artificial Neural Network (2018) (9)
- A highlight on the application of industrial and agro wastes in cement-based materials (2020) (9)
- An Artificial Intelligent Approach to Predict Static Poisson's Ratio (2017) (9)
- Functional Neural Networks-Based Model for Prediction of the Static Young's Modulus for Sandstone Formations (2020) (9)
- Predicting the Rock Sonic Logs While Drilling by Random Forest and Decision Tree-Based Algorithms (2021) (9)
- SPE 163377 Evaluation of Micronized Ilmenite as Weighting Material in Water-Based Drilling Fluids for HPHT Applications (2012) (9)
- Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural Networks (2020) (9)
- Properties of Ilmenite Water-Based Drilling Fluids for HPHT Applications (2013) (9)
- The Effect of Silica Content on the Changes in the Mechanical Properties of Class G Cement at High Temperature from Slurry to Set (2019) (9)
- Assessing the Effect of Micronized Starch on Rheological and Filtration Properties of Water-Based Drilling Fluid (2019) (9)
- Mitigation of Condensate Banking Using Thermochemical Treatment: Experimental and Analytical Study (2019) (8)
- Real-time static Poisson’s ratio prediction of vertical complex lithology from drilling parameters using artificial intelligence models (2021) (8)
- Estimation of the Rate of Penetration While Horizontally Drilling Carbonate Formation Using Random Forest (2021) (8)
- Prediction Model Based on an Artificial Neural Network for Rock Porosity (2021) (8)
- Investigating the Compatibility of Enzyme with Chelating Agents for Calcium Carbonate Filter Cake Removal (2018) (8)
- Application of Artificial Intelligence Techniques in Predicting the Lost Circulation Zones Using Drilling Sensors (2020) (8)
- Well-Placement Optimization in Heavy Oil Reservoirs Using a Novel Method of In Situ Steam Generation (2018) (8)
- New Approach to Quantify Productivity of Fishbone Multilateral Well (2017) (8)
- One-Stage Calcium Carbonate Oil-Based Filter Cake Removal Using a New Biodegradable Acid System (2019) (8)
- Effect of the Filtrate Fluid of Water-Based Mud on Sandstone Rock Strength and Elastic Moduli (2020) (8)
- Influence of Weighting Materials on the Properties of Oil-Well Cement (2020) (8)
- Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time (2021) (8)
- Prediction of Cutting Concentration in Horizontal and Deviated Wells Using Support Vector Machine (2018) (8)
- A Novel Solution for Severe Loss Prevention While Drilling Deep Wells (2020) (8)
- New Environmentally Friendly Acid System for Iron Sulfide Scale Removal (2019) (8)
- Intelligent Prediction of Acid-Fracturing Performance in Carbonates Reservoirs (2018) (7)
- Prevention of hematite settling using perlite in water-based drilling fluid (2021) (7)
- Machine Learning Models for Equivalent Circulating Density Prediction from Drilling Data (2021) (7)
- A New Technique to Characterize Drilling Fluid Filter Cake (2011) (7)
- Impact of sand content on filter cake and invert emulsion drilling fluid properties in extended reach horizontal wells (2018) (7)
- A New Approach to Determine the Rheology Parameters for Water-Based Drilling Fluid Using Artificial Neural Network (2018) (7)
- Enhanced Gas Recovery (EGR) Methods and Production Enhancement Techniques for Shale & Tight Gas Reservoirs (2017) (7)
- Real Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique (2018) (7)
- Effect of CO 2 Content on the Natural Gas Production from Tight Gas Sandstone Reservoirs (2017) (7)
- Investigating the Alteration of Sandstone Pore System and Rock Features by Role of Weighting Materials (2021) (7)
- Artificial Neural Network ANN Approach to Predict Fracture Pressure (2019) (7)
- Towards a Complete Removal of Barite Weighted Water and Oil Based-Drilling Fluids in Single Stage (2017) (6)
- A new look into the prediction of static Young's modulus and unconfined compressive strength of carbonate using artificial intelligence tools (2019) (6)
- New Lightweight Cement Formulation for Shallow Oil and Gas Wells (2020) (6)
- Geomechanical Studies on CO 2 Sequestrated Rocks in an Aqueous Saline Environment (2018) (6)
- A review of the various treatments of oil-based drilling fluids filter cakes (2021) (6)
- Properties of Filter Cake of Water-Based Drilling Fluid under Dynamic Conditions Using Computer Tomography (2012) (6)
- Improved Tracking of the Rheological Properties of Max-Bridge Oil-Based Mud Using Artificial Neural Networks (2021) (6)
- AADE-19-NTCE-066 Effect of the Temperature on the Strength of Nanoclay-Based Cement under Geologic Carbon Sequestration (2019) (6)
- Real-Time Prediction of Equivalent Circulation Density for Horizontal Wells Using Intelligent Machines (2020) (6)
- Impact of methane adsorption on tight rock permeability measurements using pulse-decay (2019) (6)
- Real Time prediction of the Rheological Parameters of NaCl Water-Based Drilling Fluid Using Artificial Neural Networks (2017) (6)
- Effect of Calcium Carbonate on Barite Solubility Using a Chelating Agent and Converter (2019) (6)
- Effect of Saturating Fluid on the Geomechanical Properties of Low Permeability Scioto Sandstone Rocks (2018) (6)
- Enhancing the Cement Quality Using Polypropylene Fibers (2018) (6)
- A Novel Low-Temperature Non-Corrosive Sulfate/Sulfide Scale Dissolver (2020) (6)
- Filter Cake Cleanup Using HCl/Glycolic Acid System (2013) (6)
- Estimating the Total Organic Carbon for Unconventional Shale Resources During the Drilling Process: A Machine Learning Approach (2021) (5)
- New Approach to Predict Fracture Pressure Using Functional Networks (2018) (5)
- Evaluation of hematite and Micromax-based cement systems for high- density well cementing (2022) (5)
- A new experimental method to prevent paraffin-wax formation on the crude oil wells: a field case study in Libya (2014) (5)
- Prediction of Lost Circulation Zones using Support Vector Machine and Radial Basis Function (2020) (5)
- Pore Pressure Prediction While Drilling Using Fuzzy Logic (2018) (5)
- The impact of weighting materials on carbonate pore system and rock characteristics (2020) (5)
- Fracture Pressure Prediction Using Surface Drilling Parameters by Artificial Intelligence Techniques (2021) (5)
- Recent Advances in Magnesia Blended Cement Studies for Geotechnical Well Construction—A Review (2021) (5)
- The Use of the Granite Waste Material as an Alternative for Silica Flour in Oil-Well Cementing (2020) (5)
- Effect of Elevated Temperature on the Microstructure of Metakaolin-Based Geopolymer (2022) (5)
- Effect of Drill Cuttings Mechanical Properties on Filter Cake Properties and Mud-Filtrate Invasion (2019) (5)
- Machine learning application to predict in-situ stresses from logging data (2021) (5)
- Effect of Perlite Particles on Barite Cement Properties (2021) (5)
- Prevention of Hematite Settling in Water-Based Mud at High Pressure and High Temperature (2021) (5)
- Evaluating the Effect of Using Micronized Barite on the Properties of Water-Based Drilling Fluids (2019) (4)
- Improving Saudi Class G Oil-Well Cement Properties Using the Tire Waste Material (2020) (4)
- WITHDRAWN: New approach to obtain the rheological properties of drill-in fluid on a real-time using artificial intelligence (2019) (4)
- Effect of the Type of Fracturing Fluid on the Breakdown Pressure of Tight Sandstone Rocks (2018) (4)
- Real-time prediction of formation pressure gradient while drilling (2022) (4)
- Real-Time GR logs Estimation While Drilling Using Surface Drilling Data; AI Application (2021) (4)
- Applications of Biodiesel in Drilling Fluids (2021) (4)
- Vermiculite for enhancement of barite stability in water-based mud at elevated temperature (2022) (4)
- Real-Time Prediction of Acoustic Velocities While Drilling Vertical Complex Lithology Using AI Technique (2021) (4)
- Evaluation of Qusaiba Kaolinitic Shale as a Supplementary Cementitious Material in Lightweight Oil-Well Cement Formulation (2022) (4)
- Synthetic Well-Log Generation: New Approach to Predict Formation Bulk Density While Drilling Using Neural Networks and Fuzzy Logic (2020) (4)
- Durability of lightweight oil-well geopolymer system in sulfate environment (2022) (4)
- Development of a New Correlation for Bubble Point Pressure in Oil Reservoirs Using Artificial Intelligent Technique (2017) (4)
- Formation Resistivity Prediction Using Decision Tree and Random Forest (2022) (4)
- Development of a Unique Organic Acid Solution for Removing Composite Field Scales (2021) (4)
- The prediction of wellhead pressure for multiphase flow of vertical wells using artificial neural networks (2021) (4)
- Investigation of magnetite-based invert emulsion mud at high pressure high temperature (2021) (4)
- Developing an Efficient Drilling System by Coupling Torque Modelling With Mechanical Specific Energy (2018) (4)
- Effect of High-Density Water-Based Drilling Fluid on the Mechanical Properties of the Drilled Formation in Horizontal Wells (2019) (4)
- Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence (2022) (4)
- Assessment of Using Copper Nitrate for Scavenging Hydrogen Sulfide While Drilling Sour Horizontal Wells (2019) (4)
- Novel Cake Washer for Removing Oil-Based Calcium Carbonate Filter Cake in Horizontal Wells (2020) (4)
- Application of Various Machine Learning Techniques in Predicting Water Saturation in Tight Gas Sandstone Formation (2021) (4)
- Data-Driven Approach for Resistivity Prediction Using Artificial Intelligence (2022) (4)
- Guidelines to define the critical injection flow rate to avoid formation damage during slurry injection into high permeability sandstone (2018) (3)
- Use Metaheuristics to Improve the Quality of Drilling Real-Time Data for Advance Artificial Intelligent and Machine Learning Modeling. Case Study: Cleanse Hook-Load Real-Time Data (2018) (3)
- Workflow to build a continuous static elastic moduli profile from the drilling data using artificial intelligence techniques (2021) (3)
- Enhancement of Static and Dynamic Sag Performance of Water-Based Mud Using a Synthetic Clay (2021) (3)
- Application of Tire Waste Material to Enhance the Properties of Saudi Class G Oil Well Cement (2021) (3)
- Barium Sulfate Scale Removal at Low-Temperature (2021) (3)
- Prediction of cohesion and friction angle from well-logging data using decision tree and random forest (2021) (3)
- Temperature Impact on Adsorption Contribution to Sequestration of CO 2 in Immature Shale Formations in Saudi Arabia (2018) (3)
- Real-Time Prediction of the Dynamic Young’s Modulus from the Drilling Parameters Using the Artificial Neural Networks (2021) (3)
- Improved carbonation resistance and durability of Saudi Class G oil well cement sheath in CO2 rich environments using laponite (2021) (3)
- New Hydrogen Sulfide Scavenger for Drilling Sour Horizontal and Multilateral Reservoirs (2018) (3)
- Application of Machine Learning to Predict the Failure Parameters from Conventional Well Logs (2022) (3)
- Synthetic Polypropylene Fiber Content Influence on Cement Strength at High-Temperature Conditions (2019) (3)
- The Use of Graphite to Improve the Stability of Saudi Class G Oil-Well Cement against the Carbonation Process (2022) (3)
- Effect of Gas Adsorption on Pulse-Decay Permeability Measurements (2018) (3)
- Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning Application (2021) (3)
- A Self-Adaptive Artificial Neural Network Technique to Estimate Static Young's Modulus Based on Well Logs (2022) (3)
- Experimental Investigation of the Impact of Modified Nano Clay on the Rheology of Oil Well Cement Slurry (2019) (3)
- Improving Well Productivity of Tight Gas Reservoirs by Using Sodium Silicate in Water-Based Drill-in Fluid (2018) (3)
- Stimulation of High Temperature Carbonate Reservoirs Using Seawater and GLDA Chelating Agents: Reaction Kinetics Comparative Study (2017) (3)
- Application of Various Machine Learning Techniques in Predicting Total Organic Carbon from Well Logs (2021) (3)
- Improvement of Hydrogen Sulfide Scavenging via the Addition of Monoethanolamine to Water-Based Drilling Fluids (2022) (3)
- Evaluation of calcined Saudi calcium bentonite as cement replacement in low-density oil-well cement system (2021) (3)
- An integrated approach for estimating static Young’s modulus using artificial intelligence tools (2018) (3)
- Less Corrosive, Non-Damaging Iron Sulfide Scale Remover (2016) (3)
- Machine learning models for generating the drilled porosity log for composite formations (2021) (3)
- Utilization of Artificial Neural Network in Predicting the Total Organic Carbon in Devonian Shale Using the Conventional Well Logs and the Spectral Gamma Ray (2021) (3)
- Artificial neural networks-based correlation for evaluating the rate of penetration in a vertical carbonate formation for an entire oil field (2021) (3)
- Applications of Artificial Intelligence for Static Poisson's Ratio Prediction While Drilling (2021) (3)
- The Utilization of Steelmaking Industrial Waste of Silicomanganese Fume as Filtration Loss Control in Drilling Fluid Application (2)
- Machine Learning Models for Acoustic Data Prediction During Drilling Composite Lithology Formations (2022) (2)
- Evaluating the effect of using micronised barite on the properties of water-based drilling fluids (2020) (2)
- Applications of Artificial Intelligence to Predict Oil Rate for High Gas–Oil Ratio and Water-Cut Wells (2021) (2)
- Data-driven EUR for multistage hydraulically fractured wells in shale formation using different machine learning methods (2023) (2)
- Evaluation of using HEDTA chelating agent to clean up long horizontal heterogeneous sandstone wells without divergent (2018) (2)
- Prevention of Barite Sagging for Invert Emulsion Drilling Fluid While Drilling High-Pressure High-Temperature Wells (2020) (2)
- Cement Evaluation Challenges (2018) (2)
- Development of New Geopolymer Material as Alternative Plug for Cement in CO 2 Sequestration (2016) (2)
- Surfactants Impact on CO 2 Sequestration for Enhanced Gas Recovery and in Depleted Carbonate Reservoirs (2017) (2)
- Evaluating the Effects of Surface Tension and Viscosity on Two-Phase Flow in Horizontal Pipes (2018) (2)
- A New Approach to Characterize CO 2 Flooding Utilizing Artificial Intelligence Techniques (2018) (2)
- Reaction of Chelating Agents with Guar Gum Polymer for Completion Fluid (2018) (2)
- Prediction of Lost Circulation Zones Using Artificial Neural Network and Functional Network (2020) (2)
- A hybrid data-driven solution to facilitate safe mud window prediction (2022) (2)
- Novel Empirical Correlation for Estimation of the Total Organic Carbon in Devonian Shale From the Spectral Gamma-Ray and Based on the Artificial Neural Networks (2021) (2)
- Detection of Loss Zones While Drilling Using Different Machine Learning Techniques (2021) (2)
- Empirical correlation for formation resistivity prediction using machine learning (2022) (2)
- New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network (2017) (2)
- Application of Machine Learning Methods in Modeling the Loss of Circulation Rate while Drilling Operation (2022) (2)
- A Hybrid Artificial Intelligence Method to Predict Gas Solubility and Bubble Point Pressure (2017) (2)
- Intelligent Model for Predicting Downhole Vibrations Using Surface Drilling Data During Horizontal Drilling (2021) (2)
- Using Manganese Tetroxide for Hematite Settling Prevention in Water-Based Mud (2021) (2)
- A Novel Artificial Neural Network-Based Correlation for Evaluating the Rate of Penetration in a Natural Gas Bearing Sandstone Formation: A Case Study in a Middle East Oil Field (2022) (2)
- Effect of Bentonite Prehydration Time on the Stability of Lightweight Oil-Well Cement System (2021) (2)
- Toward Developing Non-Corrosive Acid System for Complex Scales Removal (2021) (1)
- Artificial intelligence models for real-time synthetic gamma-ray log generation using surface drilling data in Middle East Oil Field (2021) (1)
- A Statistical Machine Learning Model to Predict Equivalent Circulation Density ECD while Drilling, Based on Principal Components Analysis PCA (2021) (1)
- Generation of a Complete Profile for Porosity Log While Drilling Complex Lithology by Employing the Artificial Intelligence (2021) (1)
- New Approach to Optimize the Rate of Penetration Using Artificial Neural Network (2017) (1)
- The role of overbalance pressure on mud induced alteration of sandstone rock pore system (2022) (1)
- Real-time prediction of in-situ stresses while drilling using surface drilling parameters from gas reservoir (2022) (1)
- Improving filter cake sealing properties for high-density ilmenite drilling fluid (2022) (1)
- Development of Early Oil Well Cement Properties Using Laponite Particles (2022) (1)
- Real-time evaluation of the dynamic Young’s modulus for composite formations based on the drilling parameters using different machine learning algorithms (2022) (1)
- Development of a Smart Fracturing Fluid for Tight and Unconventional Reservoirs (2017) (1)
- Application of Artificial Intelligence to Predict Sonic Wave Transit Time in Unconventional Tight Sandstones (2019) (1)
- Ilmenite Inclusion: A Solution towards Solid Sagging for Hematite-Based Invert Emulsion Mud (2022) (1)
- Effect of micro-magnesium oxide admixture on rheological and compressive strength properties of class G well cement (2022) (1)
- A Self-Adaptive Artificial Neural Network Technique to Predict Total Organic Carbon (TOC) Based on Well Logs (2018) (1)
- Estimation of the Static Young's Modulus for Sandstone Reservoirs Using Support Vector Regression (2022) (1)
- Early Anomaly Detection Model Using Random Forest while Drilling Horizontal Wells with a Real Case Study (2021) (1)
- Utilization of Vermiculite for Solving Hematite Sagging in Water-Based Drilling Fluids (2022) (1)
- Online Control of Stick-Slip in Rotary Steerable Drilling (2017) (1)
- The impact of overbalance pressure on the alteration of sandstone geomechanical properties (2022) (1)
- New Technique to Evaluate the Performance of Hydraulically Fractured Horizontal Wells (2018) (1)
- Machine Learning Applications to Predict Surface Oil Rates for High Gas Oil Ratio Reservoirs (2021) (1)
- New Empirical Correlations to Estimate the Least Principal Stresses Using Conventional Logging Data (2022) (1)
- Incorporating steel-industry waste in water based drilling fluids for hydrogen sulfide scavenging (2022) (1)
- Investigating the Compatibility of Enzyme with Chelating Agents for Calcium Carbonate Filter Cake Removal (2017) (1)
- New generalized correlations for oil rate predictions through wellhead chokes for high GOR reservoirs (2022) (1)
- Zero Solid Invasion Water-Based Drilling Fluid (2018) (1)
- New Technique to Estimate Temperature Distribution During Thermal EOR Operations (2018) (1)
- Using Data-Mining CRISP-DM Methodology to Predict Drilling Troubles in Real-Time (2020) (1)
- Efficiency of Removing Filter Cake of Water-Based Drill-in Fluid Using Chelating Agents Utilizing a CT Method (2012) (1)
- Comparative Analysis Between Different Artificial Based Models for Predicting Static Poisson’s Ratio of Sandstone Formations (2020) (1)
- Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools (2021) (1)
- Machine Learning Model for Monitoring Rheological Properties of Synthetic Oil-Based Mud (2022) (1)
- Increasing ANN Accuracy, by Improving the Training Dataset Criteria. Case Study: Identify the Formation Density From the Drilling Surface Parameters in Real-Time (2018) (1)
- New Model for Pore Pressure Prediction While Drilling Using Artificial Neural Networks (2018) (1)
- Artificial neural network models for real-time prediction of the rheological properties of NaCl mud (2020) (1)
- Characterization a Self-destructing Filter cake by Using Computer Tomography (2011) (1)
- Preventing Barite Sagging Using New Synthetic Layered Silicate in HP/HT Water-Based Mud (2020) (1)
- Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification (2022) (0)
- Formation Pressure Abnormality Identification Using Artificial Neural Networks: A Classification Model (2022) (0)
- Curing Time Impacts on the Mechanical and Petrophysical Properties of a Laponite-Based Oil Well Cement (2022) (0)
- Effect of Hematite Dosage on Water-Based Drilling Fluid and Filter Cake Properties (2022) (0)
- Effect of Novel Chelating Agent Seawater Based System on the Integrity of Sandstone Rocks (2017) (0)
- Drilling Data-Based Approach for Pressure Gradient Estimation Using Random Forest (2022) (0)
- Utilization of adaptive neuro-fuzzy interference system and functional network in prediction of total organic carbon content (2021) (0)
- Effect of Pore Pressure Depletion on Wellbore Stability and Hydraulic Fracturing in Sandstone Reservoir (2019) (0)
- Effect of In-Situ Generation of Heat and Pressure on Phase Behavior of Gas Condensate (2018) (0)
- New Environmentally Friendly Solution for Iron Scale Removal (2020) (0)
- High Density Geopolymers: A Step Forward Towards Low Carbon Footprint Cementing Operations (2023) (0)
- Bulk density prediction while drilling vertical complex lithology using artificial intelligence (2022) (0)
- Effect of Formation Cutting’s Mechanical Properties on Drilling Fluid Properties During Drilling Operations (2020) (0)
- Ensemble Machine Learning Model for Predicting Rock Drillability Rate for Composite Lithology (2022) (0)
- Effect of Temperature and CO 2 Content on the Natural Gas Production from Shale Gas Reservoirs (2017) (0)
- Intelligent Prediction of Downhole Drillstring Vibrations in Horizontal Wells by Employing Artificial Neural Network (2023) (0)
- A Geopolymer System for High Pressure Oil and Gas Well Cementing (2023) (0)
- Evaluation of Granite Waste Powder as an Oil-Well Cement Extender (2023) (0)
- Optimization of a Thermochemical Recovery Process Using Global Optimization Methods to Enhance Heavy Oil Recovery (2018) (0)
- Estimation of rocks’ failure parameters from drilling data by using artificial neural network (2023) (0)
- Prediction of oil rates using Machine Learning for high gas oil ratio and water cut reservoirs (2021) (0)
- Investigation of Dehydroxylated Sodium Bentonite as a Pozzolanic Extender in Oil-Well Cement (2021) (0)
- Well-Placement Optimization in a Novel Heavy Oil Recovery Process Using In-Situ Steam Generated by Thermochemicals (2018) (0)
- Primary investigation of Ilmenite Dosage Effect on the Water-Based Drilling Fluid Properties (2022) (0)
- Intelligent Prediction of The Equivalent Circulating Density From Surface Data Sensors During Drilling By Employing Machine Learning Techniques (2021) (0)
- Detecting downhole vibrations through drilling horizontal sections: machine learning study. (2023) (0)
- Real-Time Prediction for Sonic Slowness Logs from Surface Drilling Data Using Machine Learning Techniques (2021) (0)
- Application of Machine Learning to Predict Shale Wettability (2023) (0)
- Viscometer Readings Prediction of Flat Rheology Drilling Fluids Using Adaptive Neuro-Fuzzy Inference System (2023) (0)
- Effect of Qusaiba shale formation on high-pressure high-temperature drilling fluids properties (2023) (0)
- Rheology Predictive Model Based on an Artificial Neural Network for Micromax Oil-Based Mud (2022) (0)
- Rheological Properties Prediction of Flat Rheology Drilling Fluids (2022) (0)
- The role of overbalance pressure on mud induced alteration of sandstone rock pore system (2022) (0)
- Investigation of Using Various Quantities of Steelmaking Waste for Scavenging Hydrogen Sulfide in Drilling Fluids (2022) (0)
- Real-Time Machine Learning Application for Formation Tops and Lithology Prediction (2023) (0)
- Saltwater-based fracturing fluid (2018) (0)
- Glutamic diacetic acid-containing aqueous fluid composition (2018) (0)
- An Advanced, Integrated Simulator for Management of Produced Water Re-Injection in Multilayer Vertical or Horizontal Wells (2014) (0)
- Real-Time Prediction of Rheological Parameters of KCl Water-Based Drilling Fluid Using Artificial Neural Networks (2017) (0)
- Effect of Graphite on the Mechanical and Petrophysical Properties of Class G Oil Well Cement (2023) (0)
- Influence of Curing Time on Oil Well Cement Properties Using Nanoclay (0)
- Extended Abstract: The Feasibility of Using Geopolymer in Oil-Well Cementing: A Review (2022) (0)
- What is the Best Artificial Intelligent Technology to Solve Drilling Challenges? (2022) (0)
- Formation Damage Induced Hydraulic Fracture During Slurry Injection Into High Permeability Sandstone. Is It a Good Practice (2018) (0)
- Review of underbalanced drilling techniques highlighting the advancement of foamed drilling fluids (2022) (0)
- Bit Wear Control and Optimization in Autonomous Rotary Steerable Drilling (2017) (0)
- A Novel Low-Temperature Non-Corrosive Sulfate / Sulfide Scale Dissolver (2020) (0)
- Corrigendum to “Prediction of oil rates using Machine Learning for high gas-oil ratio and water cut reservoirs” [Flow Meas. Instrum. 82 (2021) 102065] (2021) (0)
- Removal of Hematite Water-Based Filter Cake Using Hydrochloric Acid (2022) (0)
- Dissolution of Sulfates and Sulfides Field Scales by Developed Scale Dissolver (2021) (0)
- Reaction of Chelating Agents with Guar Gum Polymer for Completion Fluid (2018) (0)
- Quantifying the Reduction in Breakdown Pressure Based on Fluid Saturation (2019) (0)
- Sensitivity Analysis and Prediction of Vertical Multistacked Well IPR -Tight Oil Reservoir Using Artificial Intelligence Technique (2019) (0)
- Development of New Mathematical Model for Compressional and Shear Sonic Times from Wireline Log Data Using Artificial Intelligence Neural Networks (White Box) (2018) (0)
- Fracturing fluid composition and a method of fracturing a subterranean formation using the same (2017) (0)
- Synergy of retarders and superplasticizers for thickening time enhancement of hematite based fly ash geopolymers (2023) (0)
- Evaluation of the wellbore drillability while horizontally drilling sandstone formations using combined regression analysis and machine learning models (2023) (0)
- Data-Driven Framework for Real-time Rheological Properties Prediction of Flat Rheology Synthetic Oil-Based Drilling Fluids (2023) (0)
- Enhancing the Rheological Properties of Water-Based Drilling Fluid Using Micronized Starch (2019) (0)
- Increasing ESP Lifetime by Employing Novel Non-Corrosive Acid System for Scales Removal (2021) (0)
- Evaluating the Chemical Reaction of Chelating Agents with Xanthan Gum (2016) (0)
- Improving the filtration properties for manganese tetroxide mud utilizing perlite particles to drill wide-range permeability sandstone formation (2022) (0)
- Curing Losses: Lab Developments and Best Practices (2022) (0)
- Primary Investigation of Barite-Weighted Water-Based Drilling Fluid Properties (2023) (0)
- Performance of Perlite as viscosifier in manganese tetroxide water based-drilling fluid (2023) (0)
- Real-Time Prediction of the Rheological Properties of Water-Based Drill-In Fluid Using Artificial Neural Networks (2019) (0)
- Application of Machine Learning to Predict Estimated Ultimate Recovery for Multistage Hydraulically Fractured Wells in Niobrara Shale Formation (2022) (0)
- New techniques to characterize and remove water-based drilling fluids filter cake (2013) (0)
- Analysis of the Impact of Vermiculite on Hematite-Based Cement Systems (2023) (0)
- Cement Failure Modeling for High Pressure High Temperature Wells: Case Studies (2018) (0)
- Development of Heavy-Weight Hematite-Based Geopolymers for Oil and Gas Well Cementing (2023) (0)
- The effect of polypropylene fiber on the curing time of class G oil well cement and its mechanical, petrophysical, and elastic properties (2023) (0)
- Deep Illustration for Loss of Circulation While Drilling (2020) (0)
- Vermiculite as an Anti-Sag Additive for Water-Based Drilling Fluids (2022) (0)
- Deep characterization of heavy-weighted oil well cement segregation by a novel nuclear magnetic resonance (NMR) technique (2023) (0)
- Application of Silicomanganese Fume as a Novel Bridging Material for Water-Based Drilling Fluids (2022) (0)
- Improving Real-Time Drilling Data Quality Using Artificial Intelligence and Machine Learning Techniques (2021) (0)
- Correction to: Barite–Micromax mixture, an enhanced weighting agent for the elimination of barite sag in invert emulsion drilling fluids (2020) (0)
- Utilizing Drilling Data and Machine Learning in Real-Time Prediction of Poisson's Ratio (2023) (0)
- Real-time prediction of tensile and uniaxial compressive strength from artificial intelligence-based correlations (2022) (0)
- Role of Rock Saturation Condition on Rock–Mud Interaction: Sandstone Geomechanics Study (2022) (0)
- Estimating electrical resistivity from logging data for oil wells using machine learning (2023) (0)
- Evaluating the Effectiveness of Machine Learning Technologies in Improving Real-Time Drilling Data-Quality (2022) (0)
- The Effect of Graphite on the Properties of Class G Oil Well Cement (2023) (0)
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