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    Application of Artificial Intelligence Techniques to Estimate the Static Poisson's Ratio Based on Wireline Log Data 

    Source: Journal of Energy Resources Technology:;2018:;volume 140:;issue 007:;page 72905
    Author(s): Elkatatny, Salaheldin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Static Poisson's ratio (νstatic) is a key factor in determine the in-situ stresses in the reservoir section. νstatic is used to calculate the minimum horizontal stress which will affect the design of the optimum mud widow ...
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    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 

    Source: Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 009:;page 093002-1
    Author(s): Mahmoud, Ahmed Abdulhamid; Elkatatny, Salaheldin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The evaluation of the quality of unconventional hydrocarbon resources becomes a critical stage toward characterizing these resources, and this evaluation requires the evaluation of the total organic carbon (TOC). Generally, ...
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    Effect of Hematite Dosage on Water-Based Drilling Fluid and Filter Cake Properties 

    Source: Journal of Energy Resources Technology:;2022:;volume( 145 ):;issue: 003:;page 31601-1
    Author(s): Bageri, Badr; Jaberi, Jaber Al; Elkatatny, Salaheldin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Drilling deep wells became common in the oil and gas sector as a result of the high demand for energy in the world. This type of wells is not trivial to drill as a result several challenges that they encounter, such as ...
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    Filter Cake Properties of Water Based Drilling Fluids Under Static and Dynamic Conditions Using Computed Tomography Scan 

    Source: Journal of Energy Resources Technology:;2013:;volume( 135 ):;issue: 004:;page 42201
    Author(s): Elkatatny, Salaheldin; Mahmoud, Mohamed; Nasr
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Previous studies considered the waterbased drilling fluid filter cake as homogenous, containing one layer with an average porosity and permeability. The filter cake was recently proved to be heterogeneous, containing two ...
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    Evaluation of Rock Mechanical Properties Alteration During Matrix Stimulation With Chelating Agents 

    Source: Journal of Energy Resources Technology:;2016:;volume( 138 ):;issue: 003:;page 32907
    Author(s): Barri, Assad; Mahmoud, Mohamed; Elkatatny, Salaheldin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Well stimulation using acidic solutions is widely used to treat carbonate formations. The acidic fluids remove the nearwellbore damage and create channels around the wellbore by dissolving fraction of the carbonate rocks. ...
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    Fracture Pressure Prediction Using Surface Drilling Parameters by Artificial Intelligence Techniques 

    Source: Journal of Energy Resources Technology:;2020:;volume( 143 ):;issue: 003:;page 033201-1
    Author(s): Ahmed, Abdulmalek; Elkatatny, Salaheldin; Ali, Abdulwahab
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Several correlations are available to determine the fracture pressure, a vital property of a well, which is essential in the design of the drilling operations and preventing problems. Some of these correlations are based ...
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    Estimation of the Rate of Penetration While Horizontally Drilling Carbonate Formation Using Random Forest 

    Source: Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 009:;page 093003-1
    Author(s): Osman, Hany; Ali, Abdulwahab; Mahmoud, Ahmed Abdulhamid; Elkatatny, Salaheldin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Predicting the rate of penetration (ROP) is challenging especially during horizontal drilling. This is because there are many factors affecting ROP. Machine learning techniques are very promising in identifying the structural ...
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    Rock Strength Prediction in Real-Time While Drilling Employing Random Forest and Functional Network Techniques 

    Source: Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 009:;page 093004-1
    Author(s): Gamal, Hany; Alsaihati, Ahmed; Elkatatny, Salaheldin; Haidary, Saleh; Abdulraheem, Abdulazeez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The rock unconfined compressive strength (UCS) is one of the key parameters for geomechanical and reservoir modeling in the petroleum industry. Obtaining the UCS by conventional methods such as experimental work or empirical ...
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    Intelligent Model for Predicting Downhole Vibrations Using Surface Drilling Data During Horizontal Drilling 

    Source: Journal of Energy Resources Technology:;2021:;volume( 144 ):;issue: 008:;page 83002-1
    Author(s): Saadeldin, Ramy; Gamal, Hany; Elkatatny, Salaheldin; Abdulraheem, Abdulazeez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Drillstring vibration is a major concern during drilling wellbore, and it can be split into three types: axial, torsional, and lateral. Many problems associate with the high drillstring vibrations as tear and wear in ...
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    Machine Learning Models for Acoustic Data Prediction During Drilling Composite Lithology Formations 

    Source: Journal of Energy Resources Technology:;2022:;volume( 144 ):;issue: 010:;page 103201-1
    Author(s): Suleymanov, Vagif; Gamal, Hany; Elkatatny, Salaheldin; Glatz, Guenther; Abdulraheem, Abdulazeez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The rock acoustic data that provide important information about the formation petrophysics and geomechanics are highly needed to design the wells drilling programs, in addition to, reservoir stimulation and field development ...
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